Skip to content

v6.4.0 — Compound Learning + Score Certification

Choose a tag to compare

View all tags
@raphaelchristi raphaelchristi released this 03 Apr 21:43
· 10 commits to main since this release
v6.4.0
88087ee

Two competitive-inspired features that make evolution sessions permanent and scores verifiable.

Added

  • Compound Learning — tools/promote_learnings.py extracts proven insights (rec >= 5) from evolution_memory.md and appends them as permanent rules to CLAUDE.md. Each evolution permanently improves the project, not just the code.
  • /harness:certify — Runs eval 3x, reports mean ± std with STABLE/MARGINAL/UNSTABLE verdict. Verifies LLM-as-judge consistency before deploying.
  • Consolidator Phase 5: Promote — Flags high-recurrence insights as promotion candidates with clear anchored vs promoted terminology.
  • Deploy "Promote learnings" — 4th option in /harness:deploy with dry-run preview + user consent.

Inspired by Compound Engineering, Self-Improving Agent, and PluginEval Monte Carlo.

Full changelog: https://github.com/raphaelchristi/harness-evolver/blob/main/CHANGELOG.md

Assets 2
Loading