TLDR Tech / Dev
A primer on self-improving agent harnesses
Harness engineering is becoming a central focus in AI development, allowing AI agents to autonomously optimize their operational frameworks, referred to as harnesses, which manage execution logic and performance. New frameworks allow agents to analyze execution traces, propose modifications, and validate updates in a structured manner, so developers are shifting from manual adjustments to creating systems that support agent self-improvement.
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