Easy Agile Podcast Ep.21 LIVE from Agile2022!

"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.

"It was great chat about Kate's experience working in an agile environment, and learning what artificial intelligence looks like at Optus"

Kate shares her experience of an agile transformation at Optus and the incredible impact it has had on the company. Delivering faster & enabling a sense of ownership & accountability amongst teams.

Kate also shares some great advice from embracing hybrid roles throughout her career, a gentle reminder to never put limits on yourself and adopting a “no risk no return” mentality.

Be sure to subscribe, enjoy the episode 🎧

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Transcript

Hayley Rodd:

Well, thank you for joining us here on the Easy Agile Podcast. Here in Wollongong things are a little different from when we last had a chat. We've since been put into lockdown as part of the Greater Sydney region, but I'm delighted to bring you this podcast from here in Wollongong. And also it maybe helps ease some of those lockdown blues that you might be suffering if you're in the same part of the world as I am today or if you're in another part of the world that is maybe in the same predicament that we find ourselves here in Wollongong in. So, I'd like to introduce myself. So my name is Hayley Rodd and I am the product marketing manager or one of the product marketing managers here at Easy Agile. And I have a great guest today, an old friend of mine but before we kick off with the podcast, I'd like to say any acknowledgement of country.

Hayley Rodd:

So here at Easy Agile, we acknowledge the traditional custodians of the land where we work and we live. We celebrate the diversity of Aboriginal people and their ongoing cultures and connections to the land and waters of New South Wales. We pay our respects to elders past, present and emerging and acknowledge the Aboriginal and Torres Strait Islander people and their contribution to the development of this tool. And now, to our guest, Kate Brodie. Kate is an old friend of mine from here in The Ngong or Wollongong if you're not from this region. And has been very successful in her pursuit of a career in technology. So a little bit about Kate. Katie is the director of digital AI and CCAI programs at Optus. Kate is now based in Sydney, Australia and is a leader in AI, digital and new emerging technology. Katie is responsible for Optus's AI, digital, portfolio and chapter working in an agile environment every day today.

Hayley Rodd:

Kate leads the development of new products to take to market and scale routines in an agile environment advocating for build, measure, learn culture. Most recently, Kate has been in charge of leading an enterprise first to market API consulting chatbox in Australia, compatible with Google Home. So obviously Kate is an extremely impressive person and I wanted to chat to her today about her career and also her role in the Agile team. But beyond that, I wanted to touch on women in technology and leadership, something that Kate has spoken about recently with Vogue Australia. So, thanks so much to Kate for joining us today. And I can't wait to share some of the advice from the lessons that Kate has learned through her career. Thank you so much for joining me today, Kate. It's really wonderful to see you. So could you tell me a bit about, I guess what your day-to-day looks like when you're at the office?

Kate Brodie:

Yeah, thank you for having me. My day-to-day is quite varied. I would say that in my role, I'm very lucky to work with lots of different people, engineers, designers, business people, marketers and more recently a lot of different partners including Google. So, a lot of my day is working between different groups, strategically thinking about how we're going to continue to create a particular vision and future together for our customers. And then parts of it are related more to the technology and how we're ensuring that we've got our teams performing at a level that will allow us to meet those goals. And yeah, day-to-day, I'm talking to a lot of different.

Hayley Rodd:

So, when we were chatting just before we started recording, you were telling me a little bit about your start in marketing and now you've moved over to technology, can you tell me a little bit about how you don't want people to feel pigeonholed, I guess in their careers or in their career path?

Kate Brodie:

Yeah, absolutely. I really believe that anyone can get into anything if they put the effort behind it. And so I really think that no one should ever put limits on themselves. For me, it was partly because I was surrounded by really great people who supported me in trying lots of different things. And I think the way in which you build your confidence and start to move between different disciplines is by getting your hands dirty and just having a crack. So, I think it's important particularly and in this day and age for people to be open and not really put strong defined titles on themselves so that they do have a sense of freedom to kind of move around and try different roles because ultimately what is available today is probably going to look very different in 30 years time so... Yeah.

Hayley Rodd:

And do you still consider yourself a marketer or are you something, hybrid? What are you now?

Kate Brodie:

I would say that I am a technologist. I think that it requires the ability to have a bit of a marketing brain because you need to know how you're going to apply it in order to make a real impact, whether that's for customers, employees or commercially. But definitely with a strong kind of technology digital focus now, I wouldn't say that I would be purely seen as a marketer these days, but definitely it's about having that broad skill set and I think marketing's critical to being able to create great products.

Hayley Rodd:

Perfect. So, when I think of AI, I think of self-driving cars, someone who is very new to the technology industry myself. Could you unpack, I guess what AI means for Optus?

Kate Brodie:

Mm-hmm (affirmative). I think that what you've just said is shared by many. Artificial intelligence is just such a broad concept and it really is related to creating intelligent machines that can ultimately perform tasks or imitate behavior that we might consider human life. And so that can range from really narrow experiences like reading a brochure in a different language using AI to kind of rate it in the language that you can understand to kind of these macro experiences like you've just described with self-driving cars and completely changing the way that we travel. So, I think that AI is such a broad term where it will mean different things for different groups. At Optus, it's about creating lasting customer relationships with people and allowing them to connect with others. And so where we use AI in a variety of different places, it can be in our products themselves.

Kate Brodie:

So for instance, we just recently launched a really amazing product called Call Translate. And that's where in the call you can actually interact with people in different languages on that same phone call so breaking down those communication barriers that have existed before. So that's super exciting. And then there's other places where we're using it, for instance in our sales and service functions that we can more easily automate the simple tasks and give more time to our people to grow and create those types of relationships with our customers. So, we're using artificial intelligence in many different ways, but I think it's really exciting in everything that we do, it's more driven towards how can we create a better customer experience. It's not about the technology in of itself, which is what I really like about it.

Hayley Rodd:

Yeah. Nice. And it sounds like that that call translation would just... Could have so many applications and have... I'm even just thinking about in this COVID circumstance we... You're trying to get a message across to people to stay home and all those sorts of things like... Wow. Okay.

Kate Brodie:

Yeah. And there are some beautiful stories of people who are not able to go home with their young kids, travel home to their countries where their families are. And so they can have the grandkids talking to the grandparents more easily as they are learning different languages. So, it's really cool.

Hayley Rodd:

Wow. That's beautiful. So, in your title, there is, I, maybe assume it's an abbreviation, but it's somebody that says CCAI. Could you tell me what that is?

Kate Brodie:

CCAI stands for Contact Center Artificial Intelligence and it's actually a program of work that is used increasingly by different industries and refers to a particular product that Google is working with companies on. And so it's about re-imagining your contact center. So traditionally today banks, telecommunications companies, big organizations with lots of customers have a lot of customers that contact us regularly. And so this is a way of actually, how do we use AI to increasingly get to a point where you don't need to reach out to us but instead we're reaching out to you to better optimize your experiences with us. So, that's a little bit more of a program piece that's attached to my title at the moment.

Hayley Rodd:

Wonderful. So, prior to your current role, we're just going to get into the Agile space, which I know you seem extremely excited about at Optus and it's had some, I guess will be changes in the... Or it has some... Helped some massive changes at Optus. Before your current role what was your experience with that job?

Kate Brodie:

My current role and my experience with Agile has evolved. So, a couple of years ago, we rolled out Agile at a very large scale across our enterprise. So previously we had been using Agile in our IT teams for software development, but we actually started to roll out agile for product development. And I originally started as a product owner. So I was given a goal around creating a chatbot from scratch that would be supporting our teams. And with that, our Agile transformation involved breaking down the silos of divisions. So functional divisions. We started to merge into cross-functional squads and our squad was given the autonomy and the ownership to take on a particular initiative, and in my case, it was chatbot. And so I've actually experienced multiple roles within Agile including as a product owner and as a chapter lead, which was where I looked after a particular craft of people who run across multiple squads in Agile.

Kate Brodie:

And now more recently, I've got squads that are working within my area to produce these products and these outcomes for us. My experience with Agile has been brilliant. The amount of impact that it's had on our company is incredible. So, over the last couple of years, and this is pre COVID, we had a big target around moving towards a really digital led experience. And so we've seen our customers who used to choose digital around six...

Kate Brodie:

Around 65% of our customers would choose digital a couple of years ago and now it's more like 85%. So these big swings have come as a result of, I think, breaking down those silos and working in a more Agile way. Just on that I think what I like about Agile is that it's not about showcases and stand ups, it's actually about the culture that Agile allows for. So I think it allows for a lot more ideas and innovation because you have this mix of people who didn't traditionally sit with one another being together. And then also you can just deliver faster because you can cut through a lot of noise by working together. And the last piece I think is definitely that ownership and accountability for driving an outcome as opposed to delivering a piece of the puzzle, I think, yeah, Agile's been massive for us.

Hayley Rodd:

So, and you said that it was a big roll out across the organization. So does that mean that everyone within Optus works within an Agile framework or is there still sections that I guess don't employ Agile.

Kate Brodie:

There are areas of the business that aren't completely agile at this point in time. And I think they are areas of the business that makes sense. So sometimes in research and the like, you need to have a bit more freedom to sit back and ideate, although they would adopt principles of Agile so that they time box ideas and the like. From a delivery perspective, most of the organization has transformed into Agile delivery.

Hayley Rodd:

Wow. So it sounds like your customers would be seeing a lot of value from the organization transforming to Agile. You said before that there was a lot of people in your life who allowed you to do things you felt confident in your ability because I guess they helped you get there. So, has there been a mentor that I guess you look back on in your career or even now that has had an impact on where you are?

Kate Brodie:

I think that I've had a lot of different people who have been my mentor at different stages and who I would call upon now. So, I like to probably not have one mentor, but sort of look at the variety of people and their different skills and take a little bit of this, take a little bit of that, learn from this person on a particular area. There have definitely been some people who stand out. And so, early on one of the things that was really useful for me was being supported by a particular general manager who basically sort of pushed me into digital and technology and sort of, I was just very fortunate that he believed in me and said, "Now, you can run this area." I had never really been exposed to it. This is 10 years ago when digital was still sort of seen as more of a complimentary area as opposed to core, to a business.

Kate Brodie:

And by him supporting me in having a go at everything that's been... That's actually one of the most pivotal moments I would say in my career very early on that that's really led the way for me to increasingly get into the area that I'm in today. And along the way, obviously, there's been many people who have made a huge contribution to where I'm at and they're both in my career, but also outside. So, people that you play sport with people that you just have, that you share different stories with, I think that often you take a little bit from everyone and hopefully you give back something to those people too.

Hayley Rodd:

Yeah, I'm sure you do. So, is there any... Looking back on all those people that you've had throughout your life who have helped you get to where you are, is there a piece of advice that might have stuck with you that you could share with us?

Kate Brodie:

There's lots of different advice. I think one of them is, no risk no return. I really do think that you have to have a crack, you have to put yourself out there. The things that always been the most satisfying experiences have been by having a go at something that I hadn't done before. So I think no risk no return is something that I definitely subscribe to. And then in terms of some practical advice, particularly as a female, I think in your career, something called the assumptive close, which is a sales technique, around almost not asking if someone would like something but sort of implying that they would. I actually would say that I use that technique not to necessarily directly sell to someone, but in everything that I do and I would really encourage most people to use it. It was some early feedback in my career and it's been quite useful along the way.

Hayley Rodd:

Yeah. [inaudible 00:18:51] after working in real estate for a little while, I think a lot of real estate agents also assume the sale. So, and it just it... I think it can help with the confidence and going in there and I guess almost putting yourself in a position of power in the conversation when you assume you've got this in the bag. So yeah, it probably comes naturally to some people more than others, myself included, but I would struggle with that, but that's a really good piece of advice. So yeah, I'm sure that it will be helpful for a lot of people who are listening to the podcast now. So what about... What's your proudest moment as a leader there at Optus so far? I know that you're in Vogue recently. That's an amazing moment. And as a person who's known you for a really long time, that was a proud moment for me to see someone that I'd known do that, but for you, what's the proud moment?

Kate Brodie:

[inaudible 00:19:58] I think probably my proudest moment is when I've launched something large. So recently we launched a large piece of technology that will change the experience for our customers, but it wasn't as much the launch as it was looking around me and seeing the people that are there with me doing it. And there are quite a few amazing people that I get to work with. And having sort of started with a few of them in the early days, a few years ago, where we were sort of spitballing ideas and we had no products to now having large products that make a real impact to Australian consumers and to our business. It's those moments where it's actually the team around you that it... I'm most proud of. It's just the high engagement and the drive and the culture that we've created where people want to work in this area and we all enjoy creating these experiences together. So I think definitely I'm most proud of the team culture and environment that we've set.

Hayley Rodd:

Yeah. Sounds amazing. We're lucky enough here at Easy Agile to have, I guess the same... A culture that you can be proud of as well, so, I can understand how it can be something that makes a huge impact every day. So, we're getting close to the end of our time together, but again, I guess I wanted to touch on a bit of gender diversity. So how does gender diversity benefit technology companies? What do you think?

Kate Brodie:

I think diversity in general is going to benefit any business and particularly technology businesses, because it's imperative that you have a representation of the population and the people that will use your technology and the experiences that you're trying to create. So I think that it's only by ensuring that we are tapping into the entire talent pool, that we can represent people and represent customers, but also we're going to get the best ideas. And so that's gender diversity but also culturally and in every sort of facet, the more that we can tap into the entire talent pool, the more we'll create better experiences, better technology, solve more of the world's problems and capture more opportunities.

Hayley Rodd:

Mm. Fantastic. And last question, what advice would you give a young woman hoping to enter the technology industry or a technology company?

Kate Brodie:

I would say go for it. I would say don't ever put limits on yourself and speak up, learn as much as you can and get your hands dirty because it's through that kind of confidence... Oh, sorry. It's through working with lots of different people and creating things with people from scratch that you'll gain your confidence as well. And always ask, don't sit there waiting for someone to sort of tap you on the shoulder, ask for that new opportunity, ask for the salary increase, ask, it won't hurt. I promise.

Hayley Rodd:

That's a good advice. What's the worst they could say?

Kate Brodie:

No, exactly.

Hayley Rodd:

No, yeah.

Kate Brodie:

Yeah. And that's why.

Hayley Rodd:

Or they might say yes. And then that's awesome too. Okay. Well, thank you so much, Kate, for your time. That was really wonderful. It was wonderful to catch up, but it was also wonderful to hear from someone who's so young in their career, has... But has also done so much and who has reached some amazing goals, has a team behind them. And I think that there's so many people who will watch this, myself included, who will learn a lot from you. So I really appreciate your time. Thank you.

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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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