In the news
An Empirical Study of Harness Design for Coding Agents
arXiv cs.AI · Published · 3 min read
In 30 seconds
- What happened
- Researchers systematically evaluated how harness components, planning, action space, and context management, affect coding agent performance across four models on software engineering benchmarks.
- Why it matters
- Engineers building or deploying autonomous coding agents need to understand which harness design choices matter most for their model and computational budget constraints.
- Watch out
- Study uses fixed execution loop with specific ablations; findings may not generalize to fundamentally different harness architectures or newer model families.
- agent
- eval
- long-horizon
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