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An agile renaissance: why agentic engineering means the fundamentals matter more

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There's a version of the current moment that goes something like this: AI writes the code now, so the ceremonies and the cadences and the careful slicing of work were scaffolding for a slower era, and we can quietly let them go.

We've spent the past year adopting LLMs inside our company. We have experimented with agentic engineering, LLMs pouring over research to identify patterns, leveraging design systems and AI for prototypes, exploring how we can reduce the turns on customer support, and a whole lot more. What we have found is that the tried and trusted agile practices haven't become less relevant. They've become the thing holding everything together.

Last week at our in person team get together, which we call Advance Easy Agile, we started calling this the agile renaissance.

The bottleneck moved. It didn't disappear

The most useful lesson we've learned is also the least glamorous.

When your team can suddenly produce X3 as much work in progress, the constraint doesn't vanish, it simply moves. Code generation stops being the bottleneck and review becomes one. Or testing. Or deployment. Or the single person who understands the integration well enough to say whether the change is safe.

The failure mode is subtle and it feels like productivity. You start more work because there's capacity to start it. Everything is in flight, nothing is in production, and the queue in front of your slowest step keeps growing. You've optimised one part of the value stream and yet made the whole system worse.

Lean principles were written for exactly this. Limit work in progress. Optimise the whole system, not the part you happen to be looking at. Find the constraint before you add throughput upstream of it.

A key reminder for our team as we experiment with agentic engineering: don't start more work just because the LLM has capacity. Shepherd what's already in flight through to production first.

Small slices got more important, not less

The instinct with a capable model is to hand it a bigger problem. A whole feature. A whole epic. It will happily oblige, and you'll get a large volume of plausible output that may be time consuming to verify and painful to unpick when one assumption at the base of it turns out to be wrong.

Small, thin, independently valuable slices give you something a large batch can't: fast feedback on whether you're building the right thing, and a cheap way to change your mind. That was true when a human wrote every line. It's more true when generation is fast and verification is the slow part, because the cost of a wrong direction now lands almost entirely on review.

Decomposition and just enough upfront planning for the LLM loop may become one of the highest-leverage skills on a team in 2027. Breaking a piece of work into pieces that flow through the system - that are composable, that each stand on their own, that can be checked in isolation, behind a feature flag - is the thing that lets the team go fast safely and in the right direction, rather than just fast.

Retrospectives are load-bearing

Here's the pattern we didn't anticipate.

The more time people spend working with an LLM, the more their working day becomes a solo activity. It's a conversation, and a productive one, and yet it happens in a window on one person's screen. The incidental collaboration that used to form part of the regular work day - chatting to the person next to you, conducting an over the shoulder review of some WIP, or just overhearing a conversation that changes your approach - appears to have been thinning out for our team without a conscious decision being made.

So the deliberate moments carry more weight than they used to. Planning is where a team builds genuine shared context rather than parallel individual understandings of the same work. Retrospectives are where a team notices that its process has drifted, that a new tool introduced a new failure mode, that the way work moves through the system stopped matching the way it's described.

A retrospective was always the mechanism for a team to adapt, course correct and improve. Teams are adapting faster than they have in years. Skipping the ceremony that processes that change, right now, is poor timing.

Talk about the outcome, not the technology

One more (and perhaps the most important thing), and it applies as much to how we build our own products as to anything else.

Nobody really wanted AI per se. Companies sought predictable outcomes, customers wanted tangible value more quickly, and team members wanted engaging work and more time with their families and friends. There's a lot of software shipping right now with an AI feature bolted on, and folks can tell. It doesn't take long to work out which capabilities were built to solve a real customer problem and which were built to be mentioned.

Can we describe the value we are delivering without naming the technology underneath it? For example, can they plan more effectively? Are they able to spot a bottleneck sooner? Will they walk out of a retrospective with an action item that will improve how they work? That is what we need to be championing. How it works underneath is an implementation detail, and framing it as the headline usually means the outcome underneath isn't strong enough to lead with.

A constant reminder from our colleague Teagan last week - look at this from the perspective of our customers. We get caught up in the excitement too, yet we need to stay grounded in what our customers need.

A renaissance implies something went wrong first.

If you spend any time in this space, you'll have seen the other framing: agile is dead. It's said with a lot of feeling at the moment, and I don't think the feeling is unearned.

Somewhere over the past two decades, the four values in the manifesto got industrialised. A set of principles about how people work together became a thing you buy, roll out and report on. For plenty of teams, "agile" now names something that was done to them rather than the way they work. A multi-year transformation, a re-org, new titles, a wall of velocity charts, and a stand-up that quietly became the status report to a manager. Ceremonies observed. Principles nowhere. If that's the association, "agile is dead" seems like a fair thing to say.

That's not what we're proposing a renaissance of. Nearly the opposite, in fact. The practices holding up under agentic engineering are the small, load-bearing ones: limit work in progress, slice thin, get feedback early, inspect and adapt together. None of that needs a transformation program or a maturity assessment. A team can start on Monday, on their own team, without permission.

I should be upfront abut where we sit in all this: Easy Agile has built a business on the industrialisation, and we exist to help teams live the principles at scale, in service of better outcomes for their own customers. The need is real - the manifesto was written about small teams who could see each other, not four hundred people across 11 timezones. The failure wasn't scaling the principles, it's that the apparatus became the deliverable while the feedback it was meant to produce went missing.

Where to from here?

It was great to come together as a team at Advance Easy Agile and reflect on the current state of the market, reflect on what we've learned within the product & engineering space over the past 25 years with the adoption of agile practices and lean principles. I think back to my first workshop with Mary Poppendieck in 2009 and how much we've learned and evolved in the software space since then. And then I think of how much we have to re-learn, how everything old is new again.

If you're navigating this with your own team, the least risky place to begin isn't a tooling decision. "Individuals and interactions over processes and tools".

What are you going to do? Perhaps start by looking at where work is piling up in the system and have a conversation with the team about it in a retrospective. Some conversation starters: what is genuinely faster? what has quietly become the new constraint? what is in progress right now that nobody is shepherding to done? Finish what you've started before pulling in more work.

None of this is new. And that's the point. We're an early adopter of agentic engineering practices and we are working with mid-market and enterprise teams who are starting to explore AI. We're surely going to be having these same conversations again and again over the next couple of years. The practices we see holding up best under the current changes are the ones agile and lean thinking gave us decades ago. The tools are new. The discipline isn't.

If you want to chat about this feel free to find some time on my calendar.

Easy Agile builds Jira-native apps that help teams plan, prioritise and improve together — including TeamRhythm for user story mapping and retrospectives, and Programs for PI planning across teams.

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    Every facilitator has a story about the retro that went sideways. You arrive with a plan, the board is ready, and somehow the energy drops, a few voices carry the room, or good intentions dissolve the moment the meeting ends.

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    • Open with a quick mood read. “On a scale of 1 to 5, how ready are you to talk about this sprint, and why?”
    • Use a clear icebreaker template. “Share one small win and one friction point from this sprint.”
    • Prime with context. “Here is what we shipped and what slipped. What feels most important to talk about first?”
    • Offer a safe first step. “If you prefer, add one thought anonymously to get us started.”

    A quick example: you open with a mood survey. Two people say 2 out of 5. You ask for one friction point. A quiet engineer adds an anonymous note about flaky tests. That becomes the first topic, and the ice breaks without calling on anyone.

    Problem #2: The same voices dominate

    Dominance is rarely ill-intended. Some people process out loud, others wait. Seniors feel responsible, juniors fear judgment, and remote calls magnify the gap. Without structure, airtime follows hierarchy and personality rather than insight. A Jira retrospective app with anonymity, timers, and voting helps you rebalance the floor so every voice shapes the picture.

    Facilitator moves that help

    • Set the expectation. “We are aiming for range over repetition. I will invite quiet voices in and timebox longer riffs.”
    • Collect ideas silently first. “Take two minutes to add thoughts in the Jira retrospective app, anonymously if you like. We will read before we talk.”
    • Use structured rounds and random order. “One sentence per person on what matters most, and I will draw names at random.”
    • Vote before debate. “Please vote on the two items you think we should discuss first in the Jira retrospective app.”
    • Redirect with appreciation. “I am going to pause you there to hear from Priya, then we will come back to decide the next step.”

    A quick example: after silent capture, the top-voted item is from a new tester about test data resets. You start there. The architect still contributes, but you run one sentence rounds in random order, and the tester speaks early. The conversation is more balanced and the topic reflects team priorities, not volume.

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    Repetitive discussions

    When every retro sounds the same, you are likely seeing a mix of familiar prompts, unresolved root causes, and a human tendency to rehash what feels safe. People bring up the same issues because they do not see change, or because the problem is a symptom of something deeper that never gets addressed. Remote sessions can amplify this, as vague statements go unchallenged and discussions drift without evidence. Rotating the lens and tightening the evidence improves freshness and focus. The key - finding a way to make the rotation easy to repeat.

    Facilitator moves that help

    • Interrupt the pattern with a new frame. “Today we are doing sprint health, not Start Stop Continue. Pick one green, one amber, one red.”
    • Anchor talk to specific evidence. “Add one example or metric beside your point, even if it’s rough.”
    • Name the loop and set a decision. “We have circled this three times. Let us pick one experiment and a check date.”
    • Timebox and summarise. “We have five minutes on this. I will summarise what I hear, then we will decide on one step.”
    • Rotate voices and roles. “I am asking two quieter voices to go first, then someone new to scribe the action.”

    A quick example: your team keeps revisiting flaky tests. You switch to a sprint health template in your Jira retrospective app. Under quality, three notes cluster on data resets. You timebox five minutes, summarise the pattern, and the team chooses a one-week experiment to seed fresh data nightly with a check date next retro.

    Problem #3: No follow-through

    Actions fade when they’re vague, ownerless, or lost in a separate tool. Improvement work also competes with delivery, so ambiguous items slip to the edges. When actions sit outside the Jira retrospective app, the team cannot see them during planning or standup, which erodes trust in the process. The fix is simple. Make actions concrete, owned, and visible where work happens.

    Facilitator moves that help

    • Limit improvement work in progress. “We will leave with no more than three actions so we can finish, not collect.”
    • Write actions like tickets, not slogans. “Verb plus outcome, one owner, and a check date. Example: Reduce build time from 18 to 12 minutes by pruning steps. Owner Sam. Check next Friday.”
    • Define the smallest visible step. “What can we show as progress by the next retro?”
    • Tie actions to delivery. “If this belongs on the backlog, create or link the issue now from the Jira retrospective app.”
    • Review previous actions first. “Open last retro’s actions. What is done, what is stuck, what did we learn?”
    • Make blockers explicit. “What would stop this from happening, and how will we remove that?”

    A quick example: the team decides to prune the pipeline. You capture the action during the session, assign Sam, and set a one-week check. You convert it to a ticket from the Jira retrospective app, link it to the right epic, and call it out at standup. Next retro, you review progress first, celebrate a 3-minute gain, and agree on one follow-up step.

    Problem #4: Disconnected tools

    When retros live in slides, spreadsheets, or whiteboards, insight drifts away from delivery. People struggle to find notes, context is lost, and good ideas die in document sprawl. Running the session where your issues, boards, and backlog already live keeps reflection part of the work, not an admin task. A Jira-native retro app solves this problem at the source by removing copy-paste effort and keeping the thread intact.

    Facilitator moves that help

    • Reduce context switching. “We will run today’s session in Jira so we can link ideas to work without leaving the room.”
    • Show the board while you talk. “Let us open the board beside the notes to check assumptions.”
    • Keep the thread alive. “We will revisit the same session page next time to see what changed.”
    • Invite ownership in place. “If this action belongs to a squad, assign it now so it does not float.”

    A quick example: you discuss release incidents while looking at the board. One note becomes a backlog item in the right epic. The team walks out knowing where to find it, and planning picks it up without extra ceremony.

    How Review helps facilitators

    Review by Easy Agile gives you helpful structure without ceremony. It provides templates for common formats, anonymous posting, reactions, voting, mood surveys, and an actions column that records clear next steps with ownership. Because it’s a Jira native, your session sits next to issues, boards, and epics, which means people can find it, act on it, and return to it without friction.

    Remember, the biggest lift for facilitators isn’t collecting more thoughts. It’s reducing setup, improving psychological safety, and closing the loop on actions. For time-poor teams, a Jira retrospective app removes prep overhead, keeps the conversation structured, and ensures every session ends with owned actions in context. Even if a discussion gets messy, the guardrails are there so you can focus on guiding the room rather than managing the tool. Review by Easy Agile acts as a safety net that makes good practice the default.

    Pre-retro checklist for smooth sessions

    • Pick a template and write a two-sentence purpose for the session.
    • Add a quick mood survey to your Jira retrospective app.
    • Prepare a one-minute context recap with shipped items and known risks.
    • Decide in advance how you will rebalance airtime if needed.
    • Block five minutes at the end for action capture and owner assignment.

    Quick facilitator micro-scripts across problems

    • “Let us take two quiet minutes to add thoughts in the Jira retrospective app, then we will read before we talk.”
    • “We will vote on the top two topics so the group, not the loudest voice, sets our order.”
    • “What is the smallest visible step we can take by next retro, and who owns it in Jira?”
    • “I am inviting two quiet voices first, then we will open it up.”
    • “I hear we are looping. Let us change the frame and try a lessons learned angle.”
    • “We will capture actions in the Jira retrospective app now so nothing gets lost.”
    • “Before we start, here is the last set of actions in our Jira retrospective app. What is done, what is stuck?”

    The point of facilitation is not about avoiding problems. It’s about steering through them with calm, practical moves that help people talk, decide, and act. When you combine good tactics with good tools that keep everything close to the work, tricky moments become turning points. Review by Easy Agile gives you the structure, safety, and follow-through to run the kind of sessions teams value.

    Make facilitation easier with Review by Easy Agile, free in Jira.