AI · 2h ago
Why AI Agents Beat Single Prompts: The Power of Iterative Loops
OpenAI's Codex agent loop and a 9-line Python implementation by Sketch.dev show that iterative loops outperform single-shot prompts for complex tasks. Loops allow models to correct errors, accumulate context, and automate multi-step workflows. Processing time drops significantly when agents work in parallel loops instead of waiting for human input.
Meridian48 take
The article makes a solid case for loops over prompts, but the real engineering challenge—managing growing context windows and prompt caching—is glossed over.
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Write Loops, Not Prompts: Why AI Agents Work Better When They Iterate →
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