Harness Engineering: Stop Re-Prompting Your Coding Agent Every Session
Harness Engineering proposes a new approach to improve coding agents by storing project rules in the repository instead of relying on prompts. This method aims to create a more durable context that persists across sessions, allowing agents to learn from past mistakes. By implementing a structured harness, developers can reduce repetitive errors and enhance the overall efficiency of their coding agents.
- ▪The traditional method of prompting coding agents often leads to repetitive explanations and forgotten context.
- ▪Harness Engineering suggests embedding rules directly into the project repository to create a more permanent learning environment for agents.
- ▪Key components of this approach include an instruction document, automated rules, feedback loops, a knowledge store, and drift checks.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3951772) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Yuan Posted on May 26 Harness Engineering: Stop Re-Prompting Your Coding Agent Every Session #productivity #opensource #ai #tooling Every time I started a new agent session, I was re-explaining the same things. The architecture rules. The patterns to avoid. The decisions I'd already made. The approaches that already failed. The agent would forget everything and I'd be back to square one. My first instinct was to write better prompts. Longer, more detailed, more explicit.
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