About
Compound Learnings acts as a continuous improvement engine for your development environment by scanning Git commits, PR descriptions, and session handoffs to identify repeating patterns. It applies frequency-based thresholds to distinguish meaningful signals from noise, then recommends the most appropriate artifact—such as rules, hooks, or autonomous agents—to encode those lessons directly into your project's workflow. This ensures that every mistake or success becomes a permanent part of the project's intelligence, preventing regressions and streamlining future development.
