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Introduction

Better Harness provides open-source insights for the Agent Work Loop. It turns project and session evidence into prioritized improvements and verifiable next steps inside the coding agent you already use.

Why Better Harness?​

AI coding agents change code fast, but the workflow around them is often the weak point:

  • 🎯 Fuzzy goals — the agent confidently solves the wrong problem.
  • 🧭 Improvised steps — work happens on paths nobody can reproduce.
  • ✅ "It works" without proof — validation is incomplete or missing.
  • 🚢 Speed over safeguards — review and delivery checks get bypassed.
  • 🧠 Lessons lost — the same friction comes back on the next task.

Reviewing only the final diff misses these system-level problems. Better Harness analyzes the workflow around the diff: it gathers project evidence (and session evidence where supported), evaluates five connected dimensions, and turns concrete gaps into prioritized findings — each tied to its evidence, expected outcome, repair boundary, and validation route, so a team can improve one issue at a time.

What is open​

Better Harness opens three connected layers, not only a slash-command prompt:

The three layers share the same boundary: configured assets can establish that a mechanism exists, but only linked task evidence can establish that it was used or improved an outcome.

Deliberately honest​

Unobserved behavior stays explicit instead of becoming an unsupported score or claim. Passing a current check proves that the intervention was exercised; only a comparable later result can prove that the loop improved.

Next steps​

Source of truth

This site is a curated view. Canonical judgment lives in the repository under skills/, models/, references/, and docs/.