Self-Improvement Orchestrator

Autonomous loop controller for evolutionary code improvement. Manages the full lifecycle: setup, research, planning, execution, tournament selection, history recording, and stop-condition evaluation.

When to Use

• You want to iteratively improve a codebase toward a measurable benchmark goal
• Optimization tasks: performance, bundle size, test coverage, accuracy
• Code quality improvement with measurable metrics

When NOT to Use

• No measurable benchmark available
• One-shot fix or feature request → use /omg-autopilot
• Manual, interactive coding → use /ralph

Autonomous Execution Policy

NEVER stop or pause to ask the user during the improvement loop. Once the gate check passes and the loop begins, run fully autonomously until a stop condition is met.