Loop engineering fits fine-tuning better than coding
Melvin Vivas · X post · 2026-08-09 · Open on X
Topics: Fine-tuning & Model Customization, AI Agents, Tool Use & MCP · Level: intermediate
Summary
The creator argues that loop engineering (automated iterate-and-check loops) works better for fine-tuning models than for coding. Coding outputs vary too much to keep results consistent and accurate.
Key points
- Automated loops pay off most where results are measurable and repeatable, as in fine-tuning runs.
- Coding tasks vary more, so automated loops have a harder time producing consistent, accurate results.
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