Before AI, software teams had Agile. Points, sprints, burndown charts, standups, retros, planning poker. An entire methodology with ceremonies and tooling built around it. A whole industry of project-tracking tools exists because Agile exists.
AI has blown a hole through all of that. The old methodology does not map to how small, AI-native teams actually work. Nobody is estimating story points when one person with Claude Code can ship a feature in an afternoon. Nobody is running two-week sprints when the iteration cycle is measured in hours.
The Void
A new methodology has not emerged yet. There is a void. Teams know the old way does not work, but there is no established replacement. They are improvising: voice notes back and forth, copy-pasting into Slack, everyone asking AI separately and getting different answers, decisions made informally and immediately forgotten.
The cost of this void is real. Repeated conversations. Lost decisions. Context stuck in one person's head. No handoff to coding tools. Every time you open Claude Code, you explain the same context from scratch.
What Small Teams Actually Need
Small teams do not need burndown charts. They do not need velocity tracking. They do not need a scrum master. What they need is deceptively simple:
A way to have structured discussions about their code with AI that has deep context. A way to capture the decisions that come out of those discussions automatically. And a way to make sure those decisions flow into the actual implementation without anyone having to manually translate them.
That is it. No ceremonies. No ticket management. Just conversations that stick and context that compounds.
Conversations as the Unit of Work
In the post-Agile world, the unit of work is not a ticket. It is a conversation. A team discusses a feature, debates the tradeoffs, makes a decision, and that decision becomes the specification. Not because someone wrote it up afterwards, but because it was captured in real-time as part of the discussion.
This changes the role of the "spec" entirely. It is no longer a document someone writes before development. It is the natural output of a team conversation, structured and searchable, flowing directly into coding tools.
The Compound Effect
The real power of this approach shows up over time. Session one, the AI knows your code structure. Session five, it also knows your conventions and past decisions. Session twenty, it is institutional memory for the entire team. No individual person holds all that context, but the system does.
This compound effect is the replacement for Agile ceremonies. Instead of standups to sync context, the context is always there. Instead of retros to capture learnings, the learnings were captured as they happened. Instead of sprint planning to decide what to build, the team just has the conversation and the plan emerges.