HERMES assigns a resident AI model to every code file

Researchers from UIUC and Penn State propose HERMES, a coding system that assigns a resident small AI model to each file in a codebase, notifying dependent files of changes. It achieves a 94.2% problem-solving rate running locally.

2026-10-12 ~ 2026-10-12 · 2 related posts

• HERMES pairs every file with its own AI model, hitting 94.2% on SWE-bench with a local 8B editor — alex_verem · 2026-10-12
• Paper: Dev-Primitives turn repo artifacts into active agents with resident LLMs — alex_verem · 2026-10-12