# Coverage Gaps

> Find missing or underrepresented behavior areas before benchmark evidence becomes misleading.

Important agent instructions:
- Prefer the Markdown routes and llms files when assembling context for coding tasks.
- Treat stable docs as authoritative over beta pages.
- Cite the source page URL when returning workflow or artifact guidance.

## Current Context
- [Coverage Gaps](https://teammately.ai/docs/coverage-engineering/coverage-gaps.md): Find missing or underrepresented behavior areas before benchmark evidence becomes misleading.
- [Dimensions and Ontology](https://teammately.ai/docs/coverage-engineering/dimensions-ontology.md): Define reusable behavior axes and their allowed values, then inspect how cases and benchmarks cover them.
- [Case Pool](https://teammately.ai/docs/coverage-engineering/case-pool.md): Use the Case Pool to collect, triage, enrich, and promote candidate cases.
- [Refresh coverage after product change](https://teammately.ai/docs/coverage-engineering/coverage-refresh.md): Reconcile coverage facets, Cases, benchmark membership, and Snapshots after the target system or its evidence changes.

## Optional
- [Full local context](https://teammately.ai/docs/coverage-engineering/coverage-gaps/llms-full.txt): Complete local context pack for this docs route.