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docs: credit HumanLayer in RPI tutorial (#6365)

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Angie Jones
2026-01-06 17:06:29 -06:00
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documentation/docs/tutorials/rpi.md
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@@ -10,7 +10,7 @@ import planDoc from '../../static/files/thoughts/plans/2025-12-23-remove-tool-se
Most people use AI agents by jumping straight to execution: "refactor this code", "remove this feature", "add this new feature". While sometimes this works well, especially for smaller changes or codebases, it often falls apart on complex changes.
**RPI (Research, Plan, Implement)** is a mental model that proposes a different way of working with AI agents. This approach trades speed for clarity, predictability, and correctness.
**[RPI (Research, Plan, Implement)](https://github.com/humanlayer/advanced-context-engineering-for-coding-agents/blob/main/ace-fca.md)**, introduced by HumanLayer, proposes a different way of working with AI agents. This approach trades speed for clarity, predictability, and correctness.
This tutorial walks through how RPI works via a real demonstration. By the end, you should be able to run this same workflow on your own codebase.