The Anatomy of Harness Engineering: How to Evaluate, Iterate, and Guard AI Coding Agents

Key Takeaways

• End-to-end benchmarks are the de facto for evaluating model performance
• These benchmarks have limitations, including lack of root-cause diagnostics
• Investigations into performance changes come at a high cost
• Developers need to evaluate and iterate on AI coding agents
• Harness engineering is crucial for evaluating and improving AI coding agents