Dev replaces bloated AI chat with a Kanban board that agents read and update themselves
Clean-Vermicelli-700 · reddit · 2026-09-10
A developer shares a personal workflow against context bloat in AI-assisted coding: instead of one ever-growing chat, a folder of markdown files in the repo renders into a Kanban board that agents read and update.
Key design:
- A single orchestrator chat only reads the board and dispatches tasks to subagents (planner, lower-tier implementer, evaluator), never touching tasks itself — so it can run hundreds of loops with almost no context growth.
- Agents log activity, findings and feedback on the board, preserving history across chat sessions.
- All human-agent communication happens via board statuses: New → To refine (agent writes a concrete plan and raises questions) → Waiting (human approves) → Ready to start → In progress → Require input (agent commits progress, asks; answering flips the card back) → Test → Merge → Done (archive).
The author says the execution took significant iteration and may publish a follow-up manual.
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