Self-Improving Agent Harnesses with Small Models: CMU's 6-Step Optimization Loop
A practical breakdown of CMU research where a 4B model out-edited its 35B teacher: a 6-step loop to evolve agent harnesses without modifying the underlying task
TAU-HOME.COM stories tagged HarnessEngineering.
A practical breakdown of CMU research where a 4B model out-edited its 35B teacher: a 6-step loop to evolve agent harnesses without modifying the underlying task
How Hugging Face and Liquid AI use OpenEnv, Harbor, and TRL to train models across Claude Code, Codex, OpenCode, and Mini-SWE-Agent without single-harness overf
Based on the foundational 'Agent = Model + Harness' principle, this 48-page technical handbook breaks down the control systems surrounding AI models—covering AC
An open-source harness engineering course designed to help AI coding agents like Codex and Claude Code persist state across sessions and enforce independent ver
The same LLM model and prompt can fail or ship depending on harness design. A guide to the five harness subsystems — instructions, tools, environment, state, fe
Key takeaways from an Anthropic engineer's 1-hour Claude Code masterclass: harness execution loops, CLAUDE.md, Plan Mode, reusable skills, and self-recovering A
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