Article
A practical case for repo-native markdown boards over SaaS tickets when you are dispatching coding agents in parallel.
The more agent runs you start, the more painful it becomes to keep planning in one system and execution in another. Markdown closes that gap because the task file can live beside the code, config, and review context.
The more agent runs you start, the more painful it becomes to keep planning in one system and execution in another. Markdown closes that gap because the task file can live beside the code, config, and review context.
Published March 6, 2026
When the board lives in CONDUCTOR.md, the source of truth is already in the repository. The task, codebase, and runtime config are part of the same working context.
That lowers coordination overhead compared with cloud ticket systems that need manual syncing back into the repo.
AI coding agents work best when the task format is predictable and close to the code they will modify. Markdown cards with tags for agent, project, priority, and type are simple enough for humans and regular enough for automation.
Conductor's board watcher, git worktrees, and tmux runtime keep orchestration local. You get reproducibility and auditability without moving planning into a proprietary backend.
