GoKawiilDeveloper builds git-based ticket queue to manage multiple AI coding agents
A developer describes replacing juggling of many parallel Claude Code/Codex terminal sessions with a priority-queue system stored as markdown tickets in git, next to the relevant code. An agent cycles through the board researching tickets, building pre-approved ones, running tests and browser checks, and verifying deployments, but never deploys to production or makes judgment calls itself. Items requiring human decisions are surfaced in a prioritized 'owner inbox' rendered as a single-page Claude artifact rebuilt from git each cycle.
GoKawiil's interpretation of the reporting above, not reported fact.
The approach addresses a growing complaint among developers using agentic coding tools: cognitive overload from tracking many concurrent AI conversations and contexts. By externalizing state into version-controlled files rather than chat history or memory, the system could make AI-assisted coding more resilient to session loss and easier to resume, though this is one individual's workflow rather than a broadly validated tool. It suggests a pattern others managing multiple AI agents might adapt: separating autonomous agent work from human judgment calls via a structured queue.
- Workflow stores AI coding tickets as markdown files in git rather than in chat sessions, preventing loss of context if a session dies.
- An AI agent autonomously researches, builds approved tickets, and runs tests, but cannot make decisions or deploy to production.
- A single rebuilt 'owner inbox' page surfaces only the items needing human judgment, reducing the need to track multiple chat threads.
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Published there as: “How I Fight AI Brain Fry”
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