Automating Agent Optimization: Devs Share Recursive Auto-Improvement Workflows
iamrobotbear · x · 2026-08-04
Developer Ashpreet Bedi launched the 'Pro Agent Builders' series, starting with how to optimize agents using Recursive Auto-Improvement (RAI).
The core workflow involves a coding agent that takes the agent's spec and usage data to generate simulations, fixing the agent until every probe passes. The author shares a practical 'overnight run' routine: kicking off 300-500 probes before bed and waking up to a better agent. This automated loop takes over the grueling work of prompt engineering, tool construction, and testing.
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