Why Kanban Still Matters When the Workers Are Agents
· 4 min read
Kanban can look strangely traditional beside autonomous AI agents.
Why place machine-speed workers on a board invented for human teams? Because autonomy does not remove the need for shared state. It increases it.
When several agents work in parallel, activity disappears into conversations, tool calls, and background runs. A board restores a simple organisational truth: what are we trying to achieve, who owns each part, what is blocked, and where does a human need to decide?