vc:autoresearch

What problem does it solve?

Autonomous iterative optimization loop for measurable metrics in software projects. Use when repeated experiments can be judged by a mechanical score.

Core Features & Use Cases

• Autonomous iteration over measurable metrics (e.g., coverage, bundle size, ESLint errors, Lighthouse scores) with deterministic evaluation and Git-backed history.
• Automatic rollback on regression and traceable experiment lineage to support reproducible research.
• Clear guidance on when to apply autoresearch and how to interpret results across iterations.

Quick Start

Initiate the autoresearch loop with a clear Goal, Scope, and Verify to observe measurable improvements.