Easy Agile Podcast Ep.18 Top qualities of an agile leader and team

"It was great to be able to have this conversation with Maysa and have her share her story. So many great takeaways." - Nick Muldoon

Join Nick Muldoon, Co-founder and Co-CEO of Easy Agile as he chats with Maysa Safadi, Engineering Manager at Easy Agile.

As a woman, growing up in the middle east and being passionate about pursuing a career in the world of tech, don’t exactly go hand in hand. Navigating her way through a very patriarchal society, Maysa talks about her career journey and how she got to where she is today.

Having the odds stacked against her, Maysa talks about challenging the status quo, the constant pressure to prove herself in a male-dominated industry, the importance of charting your own course and her hopes for the future of women in tech.

This is such an inspiring episode, we hope you enjoy it as much as we did.

Transcript

Nick Muldoon:

Hi, team. Nick Muldoon, co-founder co-CEO at Easy Agile, and I'm joined today by Maysa Safadi, who's an engineering manager here at Easy Agile. We'll get into Maysa's story and journey in just a little bit, but before we do, I just wanted to say a quick acknowledgement to the traditional custodians of the land from which we are recording and indeed broadcasting today, and they are the people of the Dharawal speaking country just south of Sydney and Australia. We pay our respects to elders past, present, and emerging, and extend that same respect to all Aboriginal Torres Strait Islander and First Nations people that are joining us and listening in today. Maysa, welcome. Thanks for joining us.

Maysa Safadi:

Thank you, Nick. Thank you for inviting me.

Nick Muldoon:

So, Maysa's on today. We're going to explore Maysa's journey on her career to this point, and I think one of the things that interests me in Maysa's journey is she's come from a fairly patriarchal society in the Middle East, and has overcome a lot of odds that some of her peers didn't overcome, and she's managed to come to Australia, start a family in Australia, has three beautiful children and is an engineering manager after spending so many years as a software engineer. So, Maysa, I'd love to learn a little bit about the early stages of your life and how you got into university.

Maysa Safadi:

I was born and raised in United Arab Emirates. I am one of nine. I have three brothers and five sisters. I'm the middle child actually. Dad and mom, they were very focused on really raising good healthy kids and more important is to educate all of their kids regardless if they are boys or girls. Started my education at schools there. When I graduated from high school, I end up getting enrolled in a college like what you call it here in Australia, TAFE.

Education in United Arab Emirates, it's not free. Being one of nine and having that aim and goal for my father to educate all of us. When it comes to education, it was two factors that play big part of it. Can dad afford sending me to that college or university? and then after I finish, will I be able to find a job in that field? One of my dream jobs, I remember growing up I wanted to be a civil engineer, and I remember my older brother, he's the second, was telling me it's good that you want to study civil engineering. Remember, you will not be able to find a job.

Nick Muldoon:

Tell me why.

Maysa Safadi:

United Arab Emirates, it's male dominated country. Civil engineering is a male dominated industry. If you are going to look for a job after a graduation, it is pretty much given to males and Emirati males first. So, kind of it needs to go very down in the queue before it gets to me, and to be realistic, sometimes you give up your dreams because you know that you are not going to have a chance later in life.

Nick Muldoon:

Oh, my gosh, this is demoralizing.

Maysa Safadi:

Unfortunately.

Nick Muldoon:

Okay,

Maysa Safadi:

So, the decision for me to get to engineering, it was, again, I couldn't really go to university because it was too expensive. My older sister had a friend who told her about this institute that they are teaching computers. When it came to mom and dad, they really told us, "Do whatever you want, study whatever you want, it is you who is going to basically study that field and you need to like it and you need to make sure that you can make the most of it." So, with that institute, it was reasonably okay for my dad to pay for my fees and they were teaching computers. I thought, "Yeah, all right, computers, it is in science field, right? I can't maybe study civil engineering, but I'm really very interested to know more about computers."

Nick Muldoon:

Similar, close enough.

Maysa Safadi:

Close enough. I end up getting enrolled and I remember the very first subject was fundamentals of computers or computer fundamentals, something like this, and I thought, "Yeah, all right, that is interesting," and I did really finish my education from there. After two years I ended up getting a diploma in computer science.

Nick Muldoon:

So, was this a unique situation for you or were most of your girlfriends from high school also going on to college?

Maysa Safadi:

It's unique actually, unique to my family. I'm not saying it's rare, you will find other families doing it, but it's not common. It is unique because, yes, most of the girls, if not all they go to school, it's compulsory in United Arab Emirate, but very small number of them pursue higher education. Pretty much girls, they end up finishing school and the very first chance to get married, they end up getting married and starting their own family. I remember-

Nick Muldoon:

And you've chosen a different path because-

Maysa Safadi:

Oh, yeah.

Nick Muldoon:

... yes, you have a family today obviously, but you established your career, you didn't finish school and get married.

Maysa Safadi:

I think I really give so much credit to mom and dad in that sense. They told us education is more important than starting a family or getting married. They said, "Finish your degree, finish your education, then get married." The other thing they said, "Do not even get married while you are studying because for sure you won't be able to finish it. Maybe because your husband wouldn't want you to finish it. Maybe you will become so busy with the kids and you will put it back." I remember actually so many times with my older sisters when someone, it's traditional marriage there, when some people come and propose to marry or to propose for their hands, my dad always used to say, "No, finish your education first."

Nick Muldoon:

So, this is interesting because I think your eldest was born when you went and actually continued education and got your master's, is that correct?

Maysa Safadi:

Yes. I got diploma in computer science. However, I always wanted a bachelor degree. I knew that there is more to it. I fell in love with computing but I wanted more, and always I had that perception in mind, "If I'm going to get a better opportunity, then I have to have a better certificate or education." So, I thought getting a bachelor degree is going to give me better chances. I was working in United Arab Emirates and saving money, and Wollongong University had a branch there in Dubai. So, I had my eyes on finishing my degree there. Eventually I end up enrolling at Wollongong University, Dubai campus, to get my bachelor degree in computer science.

Nick Muldoon:

So, just for folks that are listening along, Wollongong is the regional area of Australia where Maysa and I and many of our team live. So, University of Wollongong is the local Wollongong University that has a branch in Dubai.

Nick Muldoon:

So you were with University of Wollongong doing this bachelor degree, and how did you make the transition and move to Australia?

Maysa Safadi:

When I was studying at Wollongong University, Dubai campus, and was working at the same time to be able to pay the fees, I met my husband at work, and happened that he has a skilled migrant visa to come to Australia, coincident. So, I was thinking, "All right, he is going to go to Australia, he is a person that I do really see spending the rest of my life with. So, how about if I transfer my papers to Wollongong University here in Australia, finish my degree from here, while he gets the chance to live in the country, and then we can make our minds. 'Is it a place for us to continue our life here?' If not, it was a good experience. If good, that is another new experience and journey that we are going to take." So, we end up coming to Australia. I finished my degree from here.

Nick Muldoon:

What did you find when you arrived at Australia? How was it different from United Arab Emirates? How was it different for women? How was it different for women in engineering given what your brother had said about civil engineering in Dubai?

Maysa Safadi:

I had a culture shock when I came to Australia. Yes, I was in a country that.... male-dominated country, third world country, no opportunities for females, to a country where everything is so different. The way of living, the communication, the culture, everything was so different. When it comes to engineering, because I didn't really finish my degree in United Arab Emirate, so I didn't even get the chance to work in engineering though. However, knowing about the country and knowing about the way they take talents in, I knew I had slim chances. Now, coming to Australia and to finish my degree at the university, it was challenging. Someone from the Middle East, english is second language, being in computer degree where looking around me, "My god, where are the girls? I don't really see many of them around." And then, yeah, getting into that stereotype of industry or of a field where it is just only for males.

Nick Muldoon:

Yeah, so a bit of a culture shock coming across. I guess fast forward, you've spent a decade in software engineering and then progressing into engineering leadership. What was the change and how did you perceive the change going from a team member to a people leader?

Maysa Safadi:

I graduated from Wollongong University and I end up getting a job at Motorola as a graduate software engineer. In the whole team there was three females.

Nick Muldoon:

How big was the team?

Maysa Safadi:

How big was the team? It was around 20.

Nick Muldoon:

Okay.

Maysa Safadi:

Yep. There was the network team which had, I can't remember how many, but it was a different team. The team I was in, it is development team, and there was three girls in there, one of them another graduate that end up coming to the program and one that started a year before. Interesting, these two females, they are not in IT anymore. I really loved the problem solving, I really loved seeing the outcome of my work in people's hands because I was developing features for mobile phones. So, all was in mind then as an IC, how to become better at my work, how to learn more, how to prove myself to everyone that I'm capable as much as any other male in the team.

Nick Muldoon:

Do you think, Maysa, that that's something that you've had to do throughout your career to prove yourself?

Maysa Safadi:

Yes, yes. It's a tough industry. Really not seeing so many females it makes it hard because you look for role models that makes you think, "Oh, she made it. I can make it. If she's still in there, then I can learn from her." I missed all of that. I never had another mentor in my career or having even a female manager in all of the jobs I had before. So, always I was dealing with males, always I was trying to navigate my way to show them the different perspective I can bring. Even the subtle interactions I used to have with them giving me that, "You are not capable enough. You are not there yet. This is our territory. Why are you here?" All of these things, it does really, without you think about it, it does really sink your self-esteem and the self-worth when you are in industries like this. Yeah.

Nick Muldoon:

So, I'm conscious, you know are in this position now, you've kind of talked about you can't be what you can't see. If you can't see a woman that's a people leader and you're not reporting to one, then it's hard to see how you can become that. But, here you are, you have become that, and for our team here, you are one of the women leaders in the company, which is fantastic. So, I guess, what are the sorts of activities that you are undertaking to try and be present and be visible that you can be a woman people leader in the engineering field. I think it was earlier last month perhaps that you were at WomenHack in Sydney.

Maysa Safadi:

Yes, I've been-

Nick Muldoon:

What's WomenHack?

Maysa Safadi:

Okay. WomenHack, it is organization to bring diverse talented women intake together, to support them, to educate them, and not just only that, to try to connect them with other companies that they appreciate diversity and inclusion, and basically try to recruit... Pretty much, it is finding opportunities for women in tech, in companies that they do value the diversity.

Nick Muldoon:

Okay. So, I think it's interesting, I see these parallels here between your mom and dad that kind of went out on a limb and extended themselves financially to get six girls through a college and university education in the Middle East, and they were doing something that was perhaps fairly progressive at the time. You said it wasn't common. It sounds like WomenHack is bringing together more progressive companies these days, that are creating opportunities for women to get into leadership or even to accelerate their careers.

Maysa Safadi:

Yes, it is so pleasing to see the change that has happened over the years. When I reflect back in 2000, when I graduated and end up working in IT, and all of the behaviors, there was no knowledge or there was no awareness how much diversity is important, and they were not even aware that really females are really quitting the field or not that many females enrolls in the first place in degrees like computing or engineering. Even education through the school, no awareness was there. Then you see now the progress that is happening, more awareness is during school. Universities, they are trying to make the degrees or the fields more inviting for females and diversity. They are trying to bridge the gaps. So, many companies that are taking action to make it easier for females to be in the field and to progress in the field.

So, WomenHack, there are so many other groups like Women in Tech, there are so many companies that are allies to females in tech as well, where they are trying to really support and make their voice heard by other companies. Is as well all of the research and the science, are really proving that having diversity in teams, it is going to be more beneficial for the companies, for the teams, to have more engaging teams having these differences. So, yeah, there is a lot of awareness happening at the moment, and so many companies are trying to do something about it. I wish if that was early on.

Nick Muldoon:

Earlier in your career.

Maysa Safadi:

Earlier in my career, yes. So, many times I felt so isolated. So many times I was sitting back and saying, "Is it worth the fight?" Why do I have to work always twice as hard, to just only prove that I'm capable? Why does it have to be this way? Why I'm not equal?" That what actually made me change my career from IC to people leader. I didn't want to put other females... Being people leader wasn't just only for females, it was for me to voice, to be able to help pretty much. People leader to be able to help anyone in the field regardless if they are males or females. Moreso is to lead by example, is to be a role model for others, is to show others that if I can make it, then definitely you can as well, is to provide the support, it's to build that trust.

Nick Muldoon:

So, how can we, as an industry, I guess, how do we change... I'm reflecting on Iran at the moment, and the activities that have taken place over the last 60 days in particular, but really just more media coverage for hundreds of years of oppression of women. What do you hope, you being a people leader, a woman that's come from the Middle East, what do you hope for these young women and girls in our Iran over their trajectory? If we're still making a journey here in Australia, in a male dominated industry, what sort of hope do you have over the 20 years from here to 2040, for these women that are in the Middle East today and still haven't found a progressive society?

Maysa Safadi:

Politics. It's the game of power. Really hoping is the awareness to get there for these females in locked countries to know that there are better opportunities for them. They need to be stronger, they need to support each other, they need to empower each other. As much as it is easy said, it's not that easy done. However, all of that frustration that is built in them, it is surfacing from time to time. I'm really hoping for Iranian women, not just only Iranians, I'm really hoping for every woman in the world, regardless if it is a third world country or even if it is advanced country like Australia, is to always feel that they are worthy, is always to feel that they can have a voice, they can be part of life, and they are doing meaningful things.

Now, if they are raised in a way that always being told you are second, always being told you role only to get married and raise family, they will believe it themselves. So, it needs to come from women like us, leading by example, being role models, sending the awareness. Really media, we need to use the media very well so we can get to these people who are really locked in their countries now thinking that this is normal. It a lot of work needs to happen.

Nick Muldoon:

Well, that's an interesting observation. It is normalized for them, isn't it? So, look, reflecting on my own upbringing, I remember that my parents would always say you can achieve anything you put your mind to, but I could open up the newspaper, I could look on TV and I could see a host of people that were people that look like me, that is white males that were Australian, that were successful in business, and so I believed that I could do and be whatever I wanted to do and be. So, I guess, how do we get this message out? How do we tell your story more broadly to get this message out? That you can do whatever you put your mind to, you can achieve whatever you hope to achieve. There's something interesting for me to reflect on about the media piece that you're talking about.

Maysa Safadi:

Yeah, and I think the countries that they are advanced, the countries that they are really recognizing women more and more, they are more responsible in sending that awareness. They have to do more. It is basically, yeah, media, it is such an important thing. This is what people read everyday or watch everyday.

Nick Muldoon:

I guess, I'm conscious, like we're talking about half a world away in the Middle East, but you're actually involved in a community group here at home. What's that group that you're involved in and how's that helping women?

Maysa Safadi:

Yeah, I'm a board member for organization called Women Illawarra. It is run by women, for women. Basically this organization is to help women in domestic violence, it's basically to set them in the right path. It gives them services and it does educate them and even help them with the counseling, with legal support so they can get out of these situations. Make them believe that they can be part of this society, that they are important voice in the society, in the community, and they can really contribute and make an impact. So, by providing this education and this support, it is empowering these women to take matters their hand, and again, to really set the path for their own life and their own success. They need to take control back again, and yeah, even help their kids see their moms that they are really doing the right thing.

Nick Muldoon:

It's this interesting thread that comes through in your entire life story and your journey, that mom and dad wanted you to have an education so that you were empowered to chart your own course in life-

Maysa Safadi:

Yes.

Nick Muldoon:

... and here you are today, giving back to other women, trying to help them get an education and feel empowered so that they can chart their own course in life. I think that's fantastic. Thank you, Maysa.

Maysa Safadi:

Thank you.

Nick Muldoon:

What is your hope for women over the next 10 years? Because it sounds like we're on a trajectory, we're making progress in some countries, we're not making as much progress in other countries. What's your hope for 2030? What does it look like?

Maysa Safadi:

My hope for 2030, or my hope for... I really hope it is even five years, less than 10 years. My hope for 10 years is not to have conversations about how to reduce the gap between males and females, because by the 10 years time, that should be the way everyone operates. My hope in 10 years time is to have equal opportunities for anyone regardless what's their gender, background, language they speak, physical abilities, it needs to be equal, it needs to.... Equity, it is such an important thing. Giving exposure to the same opportunity, it is so important regardless what's your abilities. Stereotyping, I need that to get totally erased from the world.

We are all a human, we did not really choose where we born, who our parents are, what our upbringing, what our financial situation, it wasn't our choice, why do we have to get penalized for it? We have responsibility toward the world to help everyone. We are social people, we really thrive when we have good connections and good bonds, we really need to tap into the things that makes us better. So, we have so many talents that we can use it to the benefits of the world. I know countries always going to have fights and politics, that everyone is looking for the power, that's not going to disappear. But us, as people part of this world, we really need to try to uplift and upskill everyone around us. I really hope for the females in all of the other countries to know that they are worth it, to know that they are as good as anyone else. They have the power, they don't realize how much strength and power they have. So, it comes from self-belief. Believe in yourself, and you will be surprised how much you will be able to achieve.

Nick Muldoon:

There you go. Believe in yourself and you'll be surprised with how much you are able to achieve. Maysa Safadi thank you so much for your time. Really appreciate it.

Maysa Safadi:

Thank you so much Nick. Thank you everyone.

"Lieschen's wealth of experience is absolutely incredible! Not only did she provide invaluable advice, but I thoroughly enjoyed our conversation."

In this episode Caitlin Mackie is joined by Lieschen Gargano Sr, Release Train Engineer at Scaled Agile. They delve into the role of the Release Train Engineer, sharing tips and tricks, FLOW activities, lessons learned and how to get started in the role. With SAFe Summit 2023 just around the corner, Lieschen also takes some time to talk about what she’s most excited about for the event and shared some advice for first time attendees.

If Lieschen's expertise and passion have piqued your interest, be sure to explore the Scaled Agile RTE course. It provides comprehensive training, equipping you with the necessary skills and knowledge to excel as an RTE.

Scaled Agile RTE course

We hope you enjoy the episode!

Transcript:

Caitlin Mackie:

Hi there. Welcome to the Easy Agile Podcast. I'm Caitlin, your host for today's episode. At Easy Agile we specialize in developing apps for Atlassian Jira that help your team move from simply doing agile to truly being agile. Our apps have gained recognition and trust from over 160,000 users across top companies worldwide. With our products, teams can transform their flat Jira backlogs into something visually meaningful and easy to understand. Whether it's sprint planning, retrospectives, or PI planning, our apps are designed to foster seamless team alignment.

Before we begin the episode, we would like to say an acknowledgement of country. This is part of our ongoing commitment towards reconciliation. Easy Agile would like to acknowledge the traditional custodians of the land from which we broadcast today. We pay our respects to elders past, present, and emerging, and extend that same respect to all Aboriginal Torres Strait Islander and First Nations people joining us today. Let's jump into today's episode. So today I'm joined by Lieschen Gargano, a senior release train engineer at Scaled Agile. Lieschen is a highly experienced professional when it comes to change management, system design and stakeholder engagement, and has a passion for developing teams and connecting strategy to execution. Lieschen welcome to the Easy Agile Podcast.

Lieschen Gargano:

Thank you. I'm happy to be here.

Caitlin Mackie:

So Lieschen, you are a release train engineer. For our listeners, can you explain a little bit about the role? For anyone that's not familiar, how would you describe a Release Train Engineer?

Lieschen Gargano:

Yeah. I think one of the easiest ways for people to think of a Release Train Engineer is kind of like a coach or scrum master for the art, for the Agile release train. A servant leader facilitating all of those art events, facilitating the processes and process improvements. And really measured in value delivery, and using flow metrics to measure those improvements and support of the arts.

Caitlin Mackie:

So you mentioned flow metrics there. I've heard a lot about this recently and optimizing flow. What are some of those flow activities that a RT is responsible for?

Lieschen Gargano:

I like to look at feature flow and cycle time. So really looking like are we bringing all of our features in progress at once or are we managing our WIP, not just at the team level but at the art level. Are we taking the whole PI to get a feature through the system, or are we able to finish something before we start the next thing? So I look at that a lot and also just are we making and meeting commitments. Those PI objectives that we set, are we in that 80-100% range? A lot of people want full credit, extra credit and to be in the 120, but for us, predictability really means you tried really hard and you stretched, but you also still made and met commitments. So I look at that really closely too.

Caitlin Mackie:

I love that. You mentioned just then quite a lot of different responsibilities that a RTE has. Do you think that there is one in particular that you really need to get right from the start?

Lieschen Gargano:

Oh, as an RTE, I think the biggest thing is building the relationships and intention. As a servant leader, we really are there to help make the art better, to make being on the art enjoyable and productive and flow. So building that trust and those relationships as a servant leader is the first thing. If you get that wrong, no one will help you do the rest.

Caitlin Mackie:

Yeah-

Lieschen Gargano:

And you need a lot of help. You're not doing anything alone as an RTE.

Caitlin Mackie:

Yes. Yeah, for sure. I can definitely imagine that. Let's go a little bit deeper on that servant leadership that you just mentioned. Can you share your approach and what servant leadership means to you?

Lieschen Gargano:

Servant leadership to me is helping people understand the direction, communicating early and often so that they know where you're going. And then not just saying, "how can I help you get there? What can I do?" But saying, "how can we go together?" A lot of coaching and understanding the problem to solve and connecting it to how it benefits the people. Just like we ask them to connect their work to how it benefits the customer. As the RT, they're my customer. How does what I'm asking you to change benefit you? Not changing is always easier than changing even if we don't like our current state. So why is it worth it?

Caitlin Mackie:

I love that. Yeah, always asking the why and being really clear on it. Yeah, I think that's great. I've done some LinkedIn digging of your profile, as you do, had a little bit of a stalk and noticed that you hosted a webinar recently on tips and tricks and lessons learned as an RTE. Can we start with maybe some tips and tricks? What can you share?

Lieschen Gargano:

The first thing I will say is lean on the Scrum master team, and if you're lucky enough to have an Agile coach or another RTE, lean on that team. Your lean Agile Center of Excellence, those people have the expertise. They're also building the relationships. They're there to help you. Don't try to just prove yourself or go it alone, it's not possible. That team is your team for success. So 100% go to them. They're a wealth of knowledge, a wealth of relationships, and the best support.

Caitlin Mackie:

Yeah, I know it's so important to have that support network around you. You just mentioned the Agile Center of Excellence. Maybe for some of our listeners aren't familiar, could you explain what that is?

Lieschen Gargano:

Yeah, so the Lean Agile Center of Excellence can look a few different ways depending on your organization. At our organization, it is the coach, release managers, RTEs and Scrum masters or team coaches. And some larger organizations than ours might have that hub and spoke model of a centralized change leader. And then RTEs and Scrum masters that are in different arts and around the org. And some even have separate laces in different parts of the organization if it's really big. But really they are that community of practice that holds your lean Agile practices and the standards of those practices and talks to each other and debates and evolves them to make sure that it's consistent throughout the org. That the org is getting consistent coaching, consistent guidance, and they're not being told five different things about how to transform. Because again, change and being lean is so hard. If you add too many voices into that coaching, it gets really overwhelming for folks.

Caitlin Mackie:

Yes, 100%. And an Agile transformation is already overwhelming as it is, so you can imagine that laid on top. I suppose speaking, if we explore a little bit around those on an agile transformation journey, at what point would you say it's important that that lean Agile Center of Excellence is formed?

Lieschen Gargano:

Oh, I think it should be in place pretty quick. I mean, we talk about training your leaders, training your experts and then doing safer teams and launching trains. You need that Center of Excellence there from the start so that they can go out to the rest of the org that they can do all that training and they can be there to support people through title changes, role changes. Launching an art can feel very scary to folks. If you don't have that in place beforehand, you're going to have a lot to reel in after the fact.

Caitlin Mackie:

Yeah, I really like that. It's almost having this really solid foundation and unified voice to sort of go forward and support the rest of the org.

Lieschen Gargano:

And it's so great to have consultants support, to have partners come in and help you and to have the right tools, but they need the help of people inside. They need that lean Agile Center of Excellence of employees inside the company to help you be successful. As an RTE, you need your team. Anybody, any tool, any people trying to do a change, a transformation are going to need that Center of Excellence because all those parts, that's what makes the whole.

Caitlin Mackie:

Yeah, yeah, definitely. So you mentioned as an RTE, a big tip or trick is to rely on that lean Agile Center of Excellence. What do you think has been your biggest lesson learned as an RT?

Lieschen Gargano:

There are a few things that have been particularly difficult for me. One of them is that I don't like to say no and not in that I take on too much or whatever, but more in that if someone has passion for something, I want them to be able to take it on. I want them to be able to move forward with it. And there are times where we really have to say it's too much change. It's too much for this group to manage. In particular, the Scrum Masters and RTEs people come to us for a lot of things and they need that consistency from us, and they need predictability in a change to feel like we know where they're going and if we introduce too many things or if we try to hold too many things at once, it's easy for us to forget about it later or drop something else. So learning when and how to say no, again not necessarily in that capacity way, but just in the width of change, if that makes sense.

Caitlin Mackie:

Yeah, definitely. I think that what you just said there, learning how and when to say no. I think that's not even exclusive to the RTE role as well. I think that's an amazing piece of advice for anyone listening and to share across our audiences, because I know it's definitely something I struggle with as well. So that's my takeaway from this is to, okay, I'm going to constantly imagine like 'no Lieschen told me to when and how to say no', and just focus on that. So yeah, I think that's a great piece of advice. What was your journey like to an RTE? I know we caught up last week and I got a little sneak preview into this, and I know it wasn't straightforward, so if you can share a little bit about that, that would be great.

Lieschen Gargano:

Yeah. I actually started in conflict resolution. I worked in public private reconciliation doing a lot of natural resources facilitation, so hundreds of people, governments, companies, private landowners, residents, trying to bring all those people together to get to consensus or at least to build relationships that allow them to move forward. So really strong foundation and facilitation in particular, and just day-to-day conflict. When we say conflict, we get so worried, 'oh, I don't do conflict', well conflict's everything all the time. It's all the disagreements we need to succeed in life. So that gave me a great foundation when I became a scrum master, and I did that for a few years working with development teams. One of my favorite teams was our infrastructure team, 10 foot pole because no one wanted to touch their work or the 10 foot pole, and I learned so much there and eventually became a coach and started doing more strategic planning and coaching parts of the organization that weren't used to being on arts. Marketing and other groups, which helped me transition to Scaled Agile, where I started working with our CMO and as he grew the marketing team, helping coach that marketing group into an agile way of working, a safe way of working, before actually becoming a product owner, because I loved organizing around value, and I loved those different topics that we were working on internally.

And one of the people I work with at Scale Agile said, "well, help us develop the product then for everybody else". So I did that for a little while, which gave me so much power in that learning how to say no and prioritize and coaching people to decisions is one thing, but as the product owner, I had to practice being where the buck stopped. There are five right decisions, just make one so that people are unblocked, and that prepared me really well for transitioning into RT.

Caitlin Mackie:

Yeah. You have such a wealth of experience there across so many different roles, and you can really see that each of those key roles have taught you something valuable that you can take into this RTE role. So I think that's amazing. It's so cool to see that even though it's not this straightforward linear journey, there's all these parts that there's traits within each that ladder up to helping you succeed as an RT. So I think that's really cool.

Lieschen Gargano:

And I know people are afraid to make some of those lateral moves sometimes, but the skills that you can build might just be that thing that gets you other open doors that you didn't even think about.

Caitlin Mackie:

Yeah. Yeah. I absolutely love that. Yeah, just embrace every opportunity for what it may be, what it may not be. You don't know until you give it a shot. So I think, yeah, I love that. I think that's really great advice. So everything we've spoken about in regards to being a Release Train Engineer may have really hit the spot for some of our listeners. How does someone get there? Were there certifications, courses? What's the process that way?

Lieschen Gargano:

Another thing I probably did backwards. I started with a scrum master cert and then actually ended up getting a SPC certification through Scaled Agile when I was a coach. Because I was a coach before I was an RTE, and I learned about so many other parts of the business that way. But then to become an actual RTE, taking the safe RTE course, but then actually there's a community of RTEs... Which we didn't really talk about this, but being an RTE is a lonely thing. I said earlier, if you're lucky to have another RTE, this is a lonely role. You're really kind of on your own. So not just getting that cert, but being part of that community and being able to send people messages and ask them crazy questions was part of my certification process, but also just community building to where I could feel like I had the connections and competence. So yeah, I found all of them similar to holding each of the roles, also getting that certification, just another tool in the tool belt.

Caitlin Mackie:

Yeah, for sure. I don't want to touch on something you said there about an RTE being sometimes quite a lonely role. What do you think makes it lonely?

Lieschen Gargano:

It's a role that a lot of people have strong opinions about what they need and what success looks like based on where they are in the organization. And there are usually few of you, and even if you're in a large organization with many, you're with your art, you're very focused on your section, and so having all of those pulls and expectations and not having anyone who understands what that feels like just makes it kind of lonely. Now that we have two RTEs and a coach at Scaled Agile, it makes a big difference for me because they are right there in it with me and it's very helpful.

Caitlin Mackie:

Yeah. You can see in that scenario why that community of RTEs is like you said, so important to lean on them as well. Yeah.

Lieschen Gargano:

I find even just connecting to RT's outside our organization too. I grabbed beers with one a couple weeks ago. Those little things, even if you can find that person, meet them at a summit, meet them out in the wild, find them on LinkedIn and just say, "Hey, we live in the same area. We have the same role". It can go a long way because it may seem weird to reach out like that, but they probably are looking for that connection too.

Caitlin Mackie:

Thank you so much for sharing. And for any of our listeners, I might pop some links to any certifications and some scout Agile courses. I'll pop that in our episode notes, so feel free to check those out. You mentioned about connecting with other RTs and meeting at summits, which is a really nice segue to the next part of our conversation. Just around the corner is the 2023 Safe Summit and we're heading to Nashville Music City. What can we expect from Safe Summit? What are you looking forward to?

Lieschen Gargano:

Well, what I'm most looking forward to is that I am putting together an RTE breakfast. So all RTEs are welcome, or even if you're a solution train engineer or you do the role of an RTE with a different title. I'm really excited to meet with those folks over breakfast and just chat it out. And my goal with that really is to have people to connect with so that as we go through the rest of the summit, listening to the talks that we have people enroll, that we can check back in with over drinks and stuff on the later days and say, 'oh, what do you think? How might that work?' So that's what I'm most looking forward to.

Caitlin Mackie:

Amazing.

Lieschen Gargano:

But obviously there are going to be some great talks and the product labs are always really fun. We get to play with the product together.

Caitlin Mackie:

Yeah, cool. Tell me a little bit about the product labs, what's involved in that?

Lieschen Gargano:

The product team puts it together and they have computers set up and you can bring your own and they talk through some of the new releases or things they're working on and help you log into it and use it in your context, but also try to get some feedback on how it works or how you might use it in your organization. So it's a nice two-way street. It's sort of, 'I need this, how might I do it?' And then them saying, 'well, why don't you try and let me see how it works and how we should change it based on how you interact with it'. So it's just really fun. It feels really practical because it's so hands on.

Caitlin Mackie:

Yeah, amazing. I love that. I'm definitely going to have to try and come along and suss that out. It sounds really great. Where do you hope or where do you think we'll see a lot of conversations focused at this year's Safe Summit?

Lieschen Gargano:

At Safe Summit I think the conversations will be really focused on just the day-to-day of Safe. We have new topics that come up. We obviously have new ideas that are going to be presented. But every time I go to one of these, it really is the connecting one-on-one to say, here's where I'm stuck, here's what I'm trying to learn. So we'll hear a lot about Flow, we'll hear about Team Topologies, but we'll also hear those 'I'm just getting started and we're stuck, we have change fatigue. We don't know if our arts are set up correctly'. A lot of those classic conversations that are just really impactful and why people come together.

Caitlin Mackie:

Yeah, definitely. Yeah, I love that. Creating these spaces for people to bond over shared experiences and problems they're facing or wins they're seeing and sharing them. I think that's where these events are amazing for creating that kind of environment. Lieschen, this is my very first Safe Summit. I haven't been to one before and I'm really excited. What advice would you have for first time attendees, returning attendees, what's the way to get the most out of Safe Summit?

Lieschen Gargano:

If you're attending with other people from your organization, the best thing is to split up so you can cover more ground and then come back together and share. The second advice is find people with a similar role as you, because again, you can do that same thing with those folks and split up and then meet up again and try to talk about it in your context. It's great to do that at the parties too, because we throw great parties, but that's the best because no matter what room you end up in, what talk you end up at, you're going to get a great nugget. But where it really sinks in for me is talking with someone else about what I heard and then thinking about, 'okay what does that mean?', when I go home.

Caitlin Mackie:

Amazing, great advice Lieschen. If anyone listening happens to also be attending Safe Summit and they see Lieschen on the floor or myself, make sure you say hello, and if you've got any questions for Lieschen about the podcast episode, I'm sure she'll be more than happy to answer and engage in a great conversation. And anyone looking to get advice around the RTE role, make sure you find her and have a chat. Lieschen I'm really excited to meet in person. We've done this podcast with yourself in the States, myself in Australia, so I'm excited to connect over in your world. And yeah, really thank you so much for your time. I hope you enjoyed the episode. I know, I sure did.

Lieschen Gargano:

I did. Thank you.

Caitlin Mackie:

Thanks, Lieschen.

TL;DR

Henrik Kniberg, the agile coach behind Spotify's model, discusses how AI is fundamentally transforming software development. Key takeaways: AI tools like Cursor and Claude are enabling 10x productivity gains; teams should give developers access to paid AI tools and encourage experimentation; coding will largely disappear as a manual task within 3–4 years; teams will shrink to 2 people plus AI; sprints will become obsolete in favour of continuous delivery; product owners can now write code via AI, creating pull requests instead of user stories; the key is treating AI like a brilliant intern – when it fails, the problem is usually your prompt or code structure, not the AI. Bottom line: Learn to use AI now, or risk being left behind in a rapidly changing landscape.

Introduction

Artificial intelligence is fundamentally reshaping how software teams work, collaborate, and deliver value. But with this transformation comes questions: How do we maintain team morale when people fear being replaced? What happens to code quality when AI writes most of the code? Do traditional agile practices like sprints still make sense?

In this episode, I sit down with Henrik Kniberg to tackle these questions head-on. Henrik is uniquely positioned to guide us through this transition – he's the agile coach and entrepreneur who pioneered the famous Spotify model and helped transform how Lego approached agile development. Now, as co-founder of Abundly AI, he's at the forefront of helping teams integrate AI into their product development workflows.

This conversation goes deep into the practical realities of AI-powered development: from maintaining code review processes when productivity increases 10x, to ethical considerations around AI usage, to what cross-functional teams will look like in just a few years. Henrik doesn't just theorise – he shares real examples from his own team, where their CEO (a non-coder) regularly submits pull requests, and where features that once took a sprint can now be built during a 7-minute subway ride.

Whether you're a developer wondering if AI will replace you, a product owner looking to leverage these tools, or a leader trying to navigate this transformation, this episode offers concrete, actionable insights for thriving in the AI era.

About Our Guest

Henrik Kniberg is an agile coach, author, and entrepreneur whose work has shaped how thousands of organisations approach software development. He's best known for creating the Spotify model – the squad-based organisational structure that revolutionised how large tech companies scale agile practices. His work at Spotify and later at Lego helped demonstrate how agile methodologies could work at enterprise scale whilst maintaining team autonomy and innovation.

Henrik's educational videos have become legendary in the agile community. His "Agile Product Ownership in a Nutshell" video, created over a decade ago, remains one of the most-watched and shared resources for understanding product ownership, with millions of views. His ability to distil complex concepts into simple, visual explanations has made him one of the most accessible voices in agile education.

More recently, Henrik has turned his attention to the intersection of AI and product development. As co-founder of Abundly AI, he's moved from teaching about agile transformation to leading AI transformation – helping companies and teams understand how to effectively integrate generative AI tools into their development workflows. His approach combines his deep understanding of team dynamics and agile principles with hands-on experience using cutting-edge AI tools like Claude, Cursor, and GitHub Copilot.

Henrik codes daily using AI and has been doing so for over two and a half years, giving him practical, lived experience with these tools that goes beyond theoretical understanding. He creates educational content about AI, trains teams on effective AI usage, and consults with organisations navigating their own AI transformations. His perspective is particularly valuable because he views AI through the lens of organisational change management – recognising that successful AI adoption isn't just about the technology, it's about people, culture, and process.

Based in Stockholm, Sweden, Henrik continues to push the boundaries of what's possible when human creativity and AI capabilities combine, whilst maintaining a pragmatic, human-centred approach to technological change.

Transcript

Note: This transcript has been lightly edited for clarity and readability.

Maintaining Team Morale and Motivation in the AI Era

Tenille Hoppo: Hi there, team, and welcome to this new episode of the Easy Agile Podcast. My name is Tenille Hoppo, and I'm feeling really quite lucky to have an opportunity to chat today with our guest, Henrik Kniberg.

Henrik is an agile coach, author, and entrepreneur known for pioneering agile practices at companies like Spotify and Lego, and more recently for his thought leadership in applying AI to product development. Henrik co-founded Abundly AI, and when he isn't making excellent videos to help us all understand AI, he is focused on the practical application of generative AI in product development and training teams to use these technologies effectively.

Drawing on his extensive experience in agile methodologies and team coaching, Henrik seems the perfect person to learn from when thinking about the intersection of AI, product development, and effective team dynamics. So a very warm welcome to you, Henrik.

Henrik Kniberg: Thank you very much. It's good to be here.

Tenille: I think most people would agree that motivated people do better work. So I'd like to start today by touching on the very human element of this discussion and helping people maintain momentum and motivation when they may be feeling some concern or uncertainty about the upheaval that AI might represent for them in their role.

What would you suggest that leaders do to encourage the use of AI in ways that increase team morale and creativity rather than risking people feeling quite concerned or even potentially replaced?

Henrik: There are kind of two sides to the coin. There's one side that says, "Oh, AI is gonna take my job, and I'm gonna get fired." And the other side says, "Oh, AI is going to give me superpowers and give us all superpowers, and thereby give us better job security than we had before."

I think it's important to press on the second point from a leader's perspective. Pitch it as this is a tool, and we are entering a world where this tool is a crucial tool to understand how to use – in a similar way that everyone uses the Internet. We consider it obvious that you need to know how to use the Internet. If you don't know how to use the Internet, it's going to be hard.

"I encourage people to experiment, give them access to the tools to do so, and encourage sharing. And don't start firing people because they get productive."

I also find that people tend to get a little bit less scared once they learn to use it. It becomes less scary. It's like if you're worried there's a monster under your bed, maybe look under your bed and turn on the lights. Maybe there wasn't a monster there, or maybe it was there but it was kind of cute and just wanted a hug.

Creating a Culture of Safe Experimentation

Tenille: I've read that you encourage experimentation with AI through learning – I agree it's the best way to learn. What would you encourage leaders and team leaders to do to create a strong culture where teams feel safe to experiment?

Henrik: There are some things. One is pretty basic: just give people access to good AI tools. And that's quite hard in some large organisations because there are all kinds of resistance – compliance issues, data security issues. Are we allowed to use ChatGPT or Claude? Where is our data going? There are all these scary things that make companies either hesitate or outright try to stop people.

Start at that hygiene level. Address those impediments and solve them. When the Internet came, it was really scary to connect your computer to the Internet. But now we all do it, and you kind of have to, or you don't get any work done. We're at this similar moment now.

"Ironically, when companies are too strict about restricting people, then what people tend to do is just use shadow AI – they use it on their own in private or in secret, and then you have no control at all."

Start there. Once people have access to really good AI tools, then it's just a matter of encouraging and creating forums. Encourage people to experiment, create knowledge-sharing forums, share your own experiments. Try to role-model this yourself. Say, "I tried using AI for these different things, and here's what I learned." Also provide paths for support, like training courses.

The Right Mindset for Working with AI

Tenille: What would you encourage in team members as far as their mindset or skills go? Certainly a nature of curiosity and a willingness to learn and experiment. Is there anything beyond that that you think would be really key?

Henrik: It is a bit of a weird technology that's never really existed before. We're used to humans and code. Humans are intelligent and kind of unpredictable. We hallucinate sometimes, but we can do amazing things. Code is dumb – it executes exactly what you told it to do, and it does so every time exactly the same way. But it can't reason, it can't think.

Now we have AI and AI agents which are somewhere in the middle. They're not quite as predictable as code, but they're a lot more predictable than humans typically. They're a lot smarter than code, but maybe not quite as smart as humans – except for some tasks when they're a million times smarter than humans. So it's weird.

You need a kind of humble attitude where you come at it with a mindset of curiosity. Part of it is also to realise that a lot of the limitation is in you as a user. If you try to use AI for coding and it wrote something that didn't work, it's probably not the model itself. It's probably your skills or lack of skills because you have to learn how to use these tools. You need to have this attitude of "Oh, it failed. What can I do differently next time?" until you really learn how to use it.

"There can be some aspect of pride with developers. Like, 'I've been coding for 30 years. Of course this machine can't code better than me.' But if you think of it like 'I want this thing to be good, I want to bring out the best in this tool' – not because it's going to replace me, but because it's going to save me a tonne of time by doing all the boring parts of the coding so I can do the more interesting parts – that kind of mindset really helps."

Maintaining Code Quality and Shared Understanding

Tenille: Our team at Easy Agile is taking our steps and trying to figure out how AI is gonna work best for us. I put the question out to some of our teams, and there were various questions around people taking their first steps in using AI as a co-pilot and producing code. There are question marks around consistency of code, maintaining code quality and clean architecture, and even things like maintaining that shared understanding of the code base. What advice do you have for people in that situation?

Henrik: My first piece of advice when it comes to coding – and this is something I do every day with AI, I've been doing for about two and a half years now – is that the models now, especially Claude, have gotten to the level where it's basically never the AI's fault anymore. If it does anything wrong, it's on you.

You need to think about: okay, am I using the wrong tool maybe? Or am I not using the tool correctly?

For example, the current market leader in terms of productivity tools with AI is Cursor. There are other tools that are getting close like GitHub Copilot, but Cursor is way ahead of anything else I've seen. With Cursor, it basically digs through your code base and looks for what it needs.

But if it fails to find what it needs, you need to think about why. It probably failed for the same reason a human might have failed. Maybe your code structure was very unstructured. Maybe you need to explain to the AI what the high-level structure of your code is.

"Think of it kind of like a really smart intern who just joined your team. They're brilliant at coding, but now they got confused about something, and it's probably your code – something in it that made it confused. And now you need to clarify that."

There are ways to do that. In Cursor, for example, you can create something called cursor rules, which are like standing documents that describe certain aspects of your system. In my team, we're always tweaking those rules. Whenever we find that the AI model did something wrong, we're always analysing why. Usually it's our prompt – I just phrased it badly – or I just need to add a cursor rule, or I need to break the problem down a little bit.

It's exactly the same thing as if you go to a team and give them this massive user story that includes all these assumptions – they'll probably get some things wrong. But if you take that big problem and sit down together and analyse it and split it into smaller steps where each step is verifiable and testable, now your team can do really good work. It's exactly the same thing with AI.

Addressing the Code Review Bottleneck

Tenille: One of our senior developers found that he was outputting code at a much greater volume and faster speed, but the handbrake he found was actually their code review processes. They were keeping the same processes they had previously, and that was a bit of a handbrake for them. What kind of advice would you have there?

Henrik: This reminds me of the general issue with any kind of productivity improvement. If you have a value stream, a process where you do different parts – you do some development, some testing, you have some design – whenever you take one part of the process and make it super optimised, the bottleneck moves to somewhere else.

If testing is no longer the bottleneck, maybe coding is. And when coding is instant, then maybe customer feedback – or lack of customer feedback – is the bottleneck. The bottleneck just keeps moving. In that particular case, the bottleneck became code review. So I would just start optimising that. That's not an AI problem. It's a process problem.

Look at it: what exactly are we trying to do when we review? Maybe we could think about changing the way we review things. For example, does all code need to be reviewed? Would it be enough that the human who wrote it and the AI, together with the human, agree that this is fine? Or maybe depending on the criticality of that change, in some cases you might just let it pass or use AI to help in the reviewing process also.

"I think there's value in code review in terms of knowledge sharing in a large organisation. But maybe the review doesn't necessarily need to be a blocking process either. It could be something you go back and look at – don't let it stop you from shipping, but maybe go back once per week and say, 'Let's look at some highlights of some changes we've made.'"

We produce 10 times more code than in the past, so reviewing every line is not feasible. But maybe we can at least identify which code is most interesting to look at.

Ethical Considerations: Balancing Innovation with Responsibility

Tenille: Agile emphasises people over process and delivering value to customers. Now with AI in the mix, there's potential for raising some ethical considerations. I'm interested in your thoughts on how teams should approach these ethical considerations that come along with AI – things like balancing rapid experimentation against concerns around bias, potential data privacy concerns.

Henrik: I would treat each ethical question on its own merits. Let me give you an example. When you use AI – let's say facial recognition technology that can process and recognise faces a lot better than any human – I kind of put that in the bucket of: any tool that is really useful can also be used for bad things. A hammer, fire, electricity.

That doesn't have so much to do with the tool itself. It has much more to do with the rules and regulations and processes around the tool. I can't really separate AI in that sense. Treat it like any other system. Whenever you install a camera somewhere, with or without AI, that camera is going to see stuff. What are you allowed to do with that information? That's an important question. But I don't think it's different for AI really, in that sense, other than that AI is extremely powerful. So you need to really take that seriously, especially when it comes to things like autonomous weapons and the risk of fraud and fake news.

"An important part of it is just to make it part of the agenda. Let's say you're a recruitment company and you're now going to add some AI help in screening. At least raise the question: we could do this. Do we want to do this? What is the responsible way to do it?"

It's not that hard to come up with reasonable guidelines. Obviously, we shouldn't let the AI decide who we're going to hire or not. That's a bad idea. But maybe it can look at the pile of candidates that we plan to reject and identify some that we should take a second look at. There's nothing to lose from that because that AI did some extra research and found that this person who had a pretty weak CV actually has done amazing things before.

We're actually working with a company now where we're helping them build some AI agents. Our AI agents help them classify CVs – not by "should we hire them or not," but more like which region in Sweden is this, which type of job are we talking about here. Just classifying to make it more likely that this job application reaches the right person. That's work that humans did before with pretty bad accuracy.

The conclusion was that AI, despite having biases like we humans do, seemed to have less biases than the human. Mainly things like it's never going to be in a bad mood because it hasn't had its coffee today. It'll process everybody on the same merits.

I think of it like a peer-to-peer thing. Imagine going to a doctor – ideally, I want to have both a human doctor and an AI doctor side by side, just because they both have biases, but now they can complement each other. It's like having a second opinion. If the AI says we should do this and the doctor says, "No, wait a second," or vice versa, having those two different opinions is super useful.

Parallels Between Agile and AI Transformations

Tenille: You're recognised as one of the leading voices in agile software development. I can see, and I'm interested if you do see, some parallels between the agile transformations that you led at Spotify and Lego with the AI transformations that many businesses are looking at now.

Henrik: I agree. I find that when we help companies transition towards becoming AI native, a lot of the thinking is similar to agile. But I think we can generalise that agile transformations are not really very special either – it's organisational change.

There are some patterns involved regardless of whether you're transitioning towards an agile way of working or towards AI. Some general patterns such as: you've got to get buy-in, it's useful to do the change in an incremental way, balance bottom-up with top-down. There are all these techniques that are useful regardless. But as an agilist, if you have some skills and competence in leading and supporting a change process, then that's going to be really useful also when helping companies understand how to use AI.

Tenille: Are you seeing more top-down or bottom-up when it comes to AI transformations?

Henrik: So far it's quite new still. The jury's not in yet. But so far it looks very familiar to me. I'm seeing both. I'm seeing situations where it's pure top-down where managers are like "we got to go full-out AI," and they push it out with mixed results. And sometimes just completely bottom-up, also with mixed results.

Sometimes something can start completely organically and then totally take hold, or it starts organically and then gets squashed because there was no buy-in higher up. I saw all of that with agile as well. My guess is in most cases the most successful will be when you have a bit of both – support and guidance from the top, but maybe driven from the bottom.

"I think the bottom-up is maybe more important than ever because this technology is so weird and so fast-moving. As a leader, you don't really have a chance if you try to control it – you're going to slow things down to an unacceptable level. People will be learning things that you can't keep up with yourself. So it's better to just enable people to experiment a lot, but then of course provide guidance."

AI for Product Owners: From Ideation to Pull Requests

Tenille: You're very well known for your guidance and for your ability to explain quite complex concepts very simply and clearly. I was looking at your video on YouTube today, the Agile Product Ownership in a Nutshell video, which was uploaded about 12 years ago now. Thinking about product owners, there's a big opportunity now with AI for generating ideas, analysing data, and even suggesting new features. What's your advice for product owners and product managers in using AI most effectively?

Henrik: Use it for everything. Overuse it so you can find the limits. The second thing is: make sure you have access to a good AI model. Don't use the free ones. The difference is really large – like 10x, 100x difference – just in paying like $20 per month or something. At the moment, I can particularly strongly recommend Claude. It's in its own category of awesomeness right now. But that of course changes as they leapfrog each other. But mainly: pay up, use a paid model, and then experiment.

For product owners, typical things are what you already mentioned – ideation, creating good backlog items, splitting a story – but also writing code. I would say as a PO, there is this traditional view, for example in Scrum, that POs should not be coding. There's a reason for that: because coding takes time, and then as PO you get stuck in details and you lose the big picture.

Well, that's not true anymore. There are very many things that used to be time-consuming coding that is basically a five-minute job with a good prompt.

"Instead of wasting the team's time by trying to phrase that as a story, just phrase it as a pull request instead and go to the team and demonstrate your running feature."

That happened actually today. Just now, our CEO, who's not a coder, came to me with a pull request. In fact, quite often he just pushes directly to a branch because it's small changes. He wants to add some new visualisation for a graph or something in our platform – typically admin stuff that users won't see, so it's quite harmless if he gets it wrong.

He's vibe coding, just making little changes to the admin, which means he never goes to my team and says, "Hey, can you guys generate this report or this graph for how users use our product?" No, he just puts it in himself if it's simple.

Today we wanted to make a change with how we handle payments for enterprise customers. Getting that wrong is a little more serious, and the change wasn't that hard, but he just didn't feel completely comfortable pushing it himself. So he just made a PR instead, and then we spent 15 minutes reviewing it. I said it was fine, so we pushed it.

It's so refreshing that now anybody can code. You just need to learn the basic prompting and these tools. And then that saves time for the developers to do the more heavyweight coding.

Tenille: It's an interesting world where we can have things set up where anyone could just jump in and with the right guardrails create something. It makes Friday demos quite probably a lot more interesting than maybe they used to be in the past.

Henrik: I would like to challenge any development team to let their stakeholders push code, and then find out whatever's stopping you from doing that and fix that. Then you get to a very interesting space.

Closing the Gap Between Makers and Users

Tenille: A key insight from your work with agile teams in the past has been to really focus on minimising that gap between maker and user. Do you think that AI helps to close that gap, or do you think it potentially risks widening it if teams are focusing too much on AI predictions and stop talking to their customers effectively?

Henrik: I think that of course depends a lot on the team. But from what I've seen so far, it massively reduces the gap. Because if I don't have to spend a week getting a feature to work, I can spend an hour instead. Then I have so much more time to talk to my users and my customers.

If the time to make a clickable prototype or something is a few seconds, then I can do it live in real time with my customers, and we can co-create. There are all these opportunities.

I find that – myself, my teams, and the people I work with – we work a lot more closely with our users and customers because of this fast turnaround time.

"Just yesterday I was teaching a course, and I was going home sitting on the subway. It was a 15-minute subway ride. I finally got a seat, so I had only 7 minutes left. There's this feature that I wanted to build that involved both front-end and back-end and a database schema change. Well, 5 minutes later it was done and I got off the subway and just pushed it. That's crazy."

Of course, our system is set up optimised to enable it to be that fast. And of course not everything will work that well. But every time it does, I've been coding for 30 years, and I feel like I wake up in some weird fantasy every day, wondering, "Can I really be this productive?" I never would have thought that was possible.

Looking Ahead: The Future of Agile Teams

Tenille: I'd like you to put your futurist hat on for a moment. How do you see the future of agile teamwork in, say, 10 to 15 years time? If we would have this conversation again in 2035, given the exponential growth of AI and improvements over the last two to three years, what do you think would be the biggest change for software development teams in how they operate?

Henrik: I can't even imagine 10 years. Even 5 years is just beyond imagination. That's like asking someone in the 1920s to imagine smartphones and the Internet. I think that's the level of change we're looking at.

I would shorten the time a little bit and say maybe 3 or 4 years. My guess there – and I'm already seeing this transfer happen – is that coding will just go away. It just won't be stuff that we humans do because we're too slow and we hallucinate way too much.

But I think engineering and the developer role will still be there, just that we don't type lines of code – in the same way that we no longer make punch cards or we no longer write machine code and poke values into registers using assembly language. That used to be a big part of it, but no longer.

"In the future, as developers, a lot of the work will still be the same. You're still designing stuff, you're thinking about architecture, you're interacting with customers, and you're doing all the other stuff. But typing lines of code is something that we're gonna be telling our kids about, and they're not gonna believe that we used to do that."

The other thing is smaller teams, which I'm already seeing now. I think the idea of a cross-functional team of 5 to 7 people – traditionally that was considered quite necessary in order to have all the different skills needed to deliver a feature in a product. But that's not the case anymore. If you skip ahead 2 or 3 years when this knowledge has spread, I think most teams will be 2 people and an AI, because then you have all the domain knowledge you need, probably.

As a consequence of that, we'll just have more teams. More and smaller teams. Of course, then you need to collaborate between the teams, so cross-team synchronisation is still going to be an issue.

Also, I'm already seeing this now, but this concept of sprints – the whole point is to give a team some peace of mind to build something complex, because typically you would need a week or two to build something complex. But now, when it takes a day and some good prompting to do the same thing that would have taken a whole sprint, then the sprint is a day instead. If the sprint is a day, is there any difference between a sprint planning meeting and a daily standup? Not really.

I think sprints will just kind of shrink into oblivion. What's going to be left instead is something a little bit similar – some kind of synchronisation point or follow-up point. Instead of a sprint where every 2 weeks we sit down and try to make a plan, I think it'll be very much continuous delivery on a day-to-day basis. But then maybe every week or two we take a step back and just reflect a little bit and say, "Okay, what have we been delivering the past couple of weeks? What have we been learning? What's our high-level focus for the next couple of weeks?" A very, very lightweight equivalent of a sprint.

I feel pretty confident about that guess because personally, we are already there with my team, and I think it'll become a bit of a norm.

Final Thoughts: Preparing for the Future

Henrik: No one knows what's gonna happen in the future, and those who say they do are kidding themselves. But there's one fairly safe bet though: no matter what happens in the future with AI, if you understand how to use it, you'll be in a better position to deal with whatever that is. That's why I encourage people to get comfortable with it, get used to using it.

Tenille: I have a teenage daughter who I'm actually trying to encourage to learn how to use AI, because I feel like when I was her age, the Internet was the thing that was sort of coming mainstream. It completely changed the way we live. Everything is online now. And I feel like AI is that piece for her.

Henrik: Isn't it weird that the generation of small children growing up now are going to consider this to be normal and obvious? They'll be the AI natives. They'll be like, "Of course I have my AI agent buddy. There's nothing weird about that at all."

Tenille: I'll still keep being nice to my coffee machine.

Henrik: Yeah, that's good. Just in case, you know.

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Thank you to Henrik Kniberg for joining us on this episode of the Easy Agile Podcast. To learn more about Henrik's work, visit Abundly AI or check out his educational videos on AI and agile practices.

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