Stop Engineering Prompts: How an Eval-First Harness Let Us Ship 25 Algorithm Versions Autonomously
The article discusses the development of an AI harness that enables the autonomous shipping of algorithm versions. This harness allows for rapid iterations on a color quantization pipeline for a LEGO-style pixel mosaic tool. The author emphasizes that the harness, rather than prompt engineering, is key to maintaining quality while increasing output speed.
- ▪The AI harness allows for autonomous iterations on algorithms while incorporating human intuition.
- ▪Twenty-five versions of the color quantization pipeline were shipped in just 13 days.
- ▪The project is a side endeavor, with the author contributing as a product manager without coding skills.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3923686) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } BMBrick Posted on May 24 Stop Engineering Prompts: How an Eval-First Harness Let Us Ship 25 Algorithm Versions Autonomously #ai #llm #mcp #devops tl;dr — Agents are good at small fixes and terrible at "make this algorithm better" because every change looks good in isolation and silently regresses elsewhere.
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