@0xMovez: A senior Google engineer just dropped a 19-page PDF on "Loop Engineering" for LLM and agentic systems. Act → Observe → …
Summary
A senior Google engineer released a 19-page PDF on 'Loop Engineering' for LLM and agentic systems, outlining an iterative feedback loop where the LLM proposes code transformations, observes compiler feedback, learns from it, and repeats until improvements stop.
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Cached at: 06/24/26, 06:20 AM
A senior Google engineer just dropped a 19-page PDF on “Loop Engineering” for LLM and agentic systems.
Act → Observe → Learn → Repeat
• Act: the LLM proposes a code transformation (tile this loop, parallelize that one).
• Observe: a compiler runs it and reports back - is it valid? faster? slower? by how much?
• Learn: the LLM reads that feedback and adjusts its next move.
• Repeat until it stops finding improvements.
The agent gets smarter purely from grounded feedback inside its own context window.
This 19-page PDF totally changed the way I’m building agentic systems today.
Read it now, then explore the article below.
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