Factory's Forward Deployed Engineering Model for Droid
Source
AI Engineer
Author
AI Engineer
Date
Terms in this piece · Glossary
AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
agent harness — The scaffolding around a model that turns it into a working agent — the loop, the tools it can call, and the rules for when to stop.
Why it matters
It gives a practitioner-level playbook for deploying coding agents inside large, security-constrained codebases — customer-owned harnesses that stay model-independent and can run air-gapped, plus a scoring model for whether a codebase is even ready for higher autonomy. Useful if you're deciding how far to push AI agentAn AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.Full definition → autonomy before the workflow collapses.
Key quotes
“We we like to say this is built, not bought, right?”
Eno Reyes
“The future is here, it's just not evenly distributed.”
Eno Reyes
“If your code base isn't agent ready, you won't see any of the success of the most capable AI systems in the world today, right?”
Eno Reyes
“So if you can frame any problem as the set of verification uh systems that need to validate it, then you can solve that problem with AI today.”
