Tech
Hardening an AI coding agent: the failures, and the code that fixed them
At Univoco we build retrieval-augmented assistants over a customer's own documentation. One of them is a coding agent that writes code for a proprietary document layout engine.
The useful thing about that engine is that there is effectively nothing about it on the public internet. The model cannot have learned it. Everything the agent knows comes from a private documentation index and the tools we give it to search that index.
That makes it an unusually clean laboratory. When memorisatio...
Read the full discussion on Dev.to
This article was aggregated from Dev.to. Click to join the conversation.
View on Dev.to