Из ленты dev.to devops — кратко, чтобы не потерять.
I’ve been running field tests against live open-source issues to study a specific question: When AI coding agents make repairs, where do they lose the actual truth of the repo? Not “does the AI write code?” Not “can it pass a test?” More specifically: Can the agent identify the boundary that actually broke before it starts changing files? So far, the strongest failure classes I’m seeing are things like: provider/config contract drift retrieval/source-context truth loss dev/build behavior divergence build artifact metadata losing source truth generated output being treated as stronger evidence than it really is One example: in an AI app, search results came back successfully, but the retrieved truth never survived into usable model context because a response-shape boundary collapsed. Anothe
Полный текст и контекст у первоисточника: https://dev.to/scarab-systems/what-kinds-of-repo-truth-boundaries-do-ai-coding-agents-miss-1aij