Show HN: Boffin – Staff-engineer layer for AI coding agents
Boffin Boffin (npm: boffinit) is a staff-engineer control layer for AI coding agents: it feeds the agent the architectural constraints for the exact file it is editing and makes it verify the result -- DuckDB case study: a guided refactor landed at +17 / -17 lines with 2,104 assertions passing. You ask for a 15-line fix; the agent comes back with a 500-line renovation. Boffin gives the agent the architectural constraints that apply to the file it is about to touch, then makes it verify the result.
- ▪Boffin Boffin (npm: boffinit) is a staff-engineer control layer for AI coding agents: it feeds the agent the architectural constraints for the exact file it is editing and makes it verify the result -- DuckDB case study: a guided refactor l
- ▪You ask for a 15-line fix; the agent comes back with a 500-line renovation.
- ▪Boffin gives the agent the architectural constraints that apply to the file it is about to touch, then makes it verify the result.
2 outlets in our directory ran this story, first to last over 3 hours. All of the coverage we found sits in one bucket: centre. That one-sidedness is itself worth noticing.
- ▪ Show HN: CMEM – Persistent Memory for AI Coding Agents — Hacker News: Show HN
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Opening excerpt (first ~120 words) tap to expand
Boffin Boffin (npm: boffinit) is a staff-engineer control layer for AI coding agents: it feeds the agent the architectural constraints for the exact file it is editing and makes it verify the result -- DuckDB case study: a guided refactor landed at +17 / -17 lines with 2,104 assertions passing. You ask for a 15-line fix; the agent comes back with a 500-line renovation. Boffin gives the agent the architectural constraints that apply to the file it is about to touch, then makes it verify the result. It is not another AGENTS.md and not a prompt pack. Those formats usually ship one static instructions block for the whole repository; Boffin routes only the constraints relevant to the current edit. Powered by ParselFire Core.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.