@freeman1266: This Loop Engineering paper from a Google engineer centers on the cycle Act→Observe→Learn→Repeat: the LLM proposes code transformation schemes, the compiler runs and provides feedback, then iterates. The key is using the compiler as a reward signal — no need for...

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Summary

Google engineers propose the Loop Engineering method, using LLMs to generate code transformation proposals, leveraging compiler feedback as an automatic reward signal to achieve a code optimization iteration loop without human annotation.

This Loop Engineering paper from a Google engineer The core cycle is Act→Observe→Learn→Repeat: the LLM proposes code transformation schemes, the compiler runs and provides feedback, then iterates. The key is using the compiler as a reward signal — no need for human annotation, no need for RLHF, passing compilation + performance improvement is automatic reward. The path for an agent to do low-level optimization is much clearer than writing business code. Pdf https://t.co/J3ZLKOtTn2
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Cached at: 06/26/26, 08:07 AM

This Loop Engineering released by Google engineers

The core loop is Act→Observe→Learn→Repeat: The LLM proposes code transformations, the compiler runs and feeds back results, then iterates.

The key is using the compiler as a reward signal—no human annotation needed, no RLHF required. A successful compile plus performance improvement is the automatic reward.

The path for an agent to do low-level optimization is far clearer than writing business code.

Pdf https://t.co/J3ZLKOtTn2

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@freeman1266: https://x.com/freeman1266/status/2064702757773496552

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