Map AI coding agent refusals to prevent unsafe automated changes

Executive Summary

Teams running coding agents lack visibility into what agents silently refuse, creating a hidden safety net that can fail. Product maps an agents refusal surface, tests gaps, and enforces per-repo agent policies via CI and telemetry. Claude Code recently added a refusal list for destructive commands, showing vendors are starting to expose refusal surfaces. Meanwhile developers are running coding agents daily and shipping agent-built changes, increasing operational and compliance risk. This creates an urgent need for tooling that maps what agents wont do and enforces consistent policies in CI, because incremental agent adoption is moving autonomous changes into production faster than teams can audit manually. Combine repository-aware refusal mapping, automated test harnesses that enumerate agent behaviors, and CI hooks that enforce org policies. Aggregate anonymized refusal telemetry into a proprietary signal layer to recommend policy templates and detect gaps before agents run in production. Cites Claude Code adding refusal lists and the reddit report of a throwaway repo revealing unexpected gaps as direct evidence that refusal-lists matter and are inconsistently implemented.