ralph-supervisor

An autonomous coding loop uses a supervisor and executor pair to break down complex tasks into iterative stories. It applies per-iteration context resets and git-backed persistence to maintain reliable progress tracking across cycles.

Coordinating Claude and Codex involves using one as a supervisor to track stories and review performance, while the other acts as the executor. This pattern ensures validated iterations and transfers learnings across cycles using semantic memory.

Git-backed persistence in an AI coding loop commits progress, learnings, and completed work after each validated iteration. This mechanism enables reliable rollbacks, provides audit trails, and sustains continuity even when context resets between cycles.

Yes, hivemind and swarm mail coordinate agents across autonomous coding iterations by providing semantic memory and messaging. They sustain continuity by transferring learnings and tracking stories even when the executor resets its context per cycle.

Validation gates and per-iteration context resets are needed for complex software development tasks requiring strict quality control. They ensure each cycle produces verified, git-backed code artifacts while preventing context degradation across long loops.