Researchers Make Skill Granularity a Runtime Decision for Coding Agents
Fixed macro execution works only when the skill matches the task; making granularity adaptive turns brittle agent failures into recoverable ones. Developers building coding agents can apply the macro-to-micro fallback pattern to improve reliability without hand-tuning heuristics. The learned router beating a hand-written heuristic on the 12-task study shows the approach scales beyond scripted workflows.
