In the news
Improving Deep Agents with harness engineering
LangChain · Published · 3 min read
In 30 seconds
- What happened
- LangChain improved a coding agent from rank 30 to rank 5 on Terminal Bench 2.0 by redesigning the harness around the same model.
- Why it matters
- Engineers building autonomous agents should care when optimizing task performance without changing the underlying model or when debugging agent failures at scale.
- Watch out
- The improvements required careful harness tuning specific to the benchmark environment and may not generalize equally across different models or task domains.
- agent
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