HarnessCompass Paper: Three Rules to Automate AI Agent Harness Improvement
blaizedsouza · x · 2026-08-05
Recommends the paper HarnessCompass, which introduces a method to automate the agent harness improvement loop without modifying the underlying base model.
The framework relies on three core rules:
- Generalization gate: Rejects changes tied to specific cases (e.g., task IDs, test names), ensuring that only reusable criteria are adopted.
- Agent feedback: Before informing the agent of its failure, it asks the agent what obstacles it faced, then validates these complaints against execution traces.
- Separate branches: Code changes and criteria changes (like prompts or memory) run in parallel on separate branches. The best version wins, while useful parts of the other are salvaged.
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