Function-Aware Fill-in-the-Middle Enhances Coding Agent Training
July 13, 2026
Mid-training Qwen2.5-Coder-Instruct (7B/14B) and Qwen3-8B on 2.6B tokens using program dependency graph analysis improves agentic reasoning. The method masks functions via a complexity-inferability criterion to better model the action-observation-continuation loop required for tool use.
HOW THIS AFFECTS YOU
●
builderYou can improve coding agent performance by training on structural code patterns rather than just text sequences.
●
researcherThis method provides a way to formalize agentic loops during pre-training via dependency-aware masking.