# Coverage Engineering

> Design the behavior space a benchmark must represent and connect reusable project facets to benchmark coverage work.

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 Engineering](https://teammately.ai/docs/coverage-engineering.md): Design the behavior space a benchmark must represent and connect reusable project facets to benchmark coverage work.
- [Benchmark snapshots](https://teammately.ai/docs/coverage-engineering/benchmark-snapshots.md): Freeze a benchmark into a version so every run measures the same cases and judgment rules.
- [Benchmarks](https://teammately.ai/docs/coverage-engineering/benchmarks.md): Create and manage benchmark sets that measure important AI product behavior.
- [Boundary Cases](https://teammately.ai/docs/coverage-engineering/boundary-cases.md): Use edge and ambiguous cases to sharpen policies, applicability logic, and rubrics.
- [Candidate and In-Use Cases](https://teammately.ai/docs/coverage-engineering/candidate-and-in-use-cases.md): Distinguish examples under consideration from cases that actively support benchmark evidence.
- [Case Construction Patterns](https://teammately.ai/docs/coverage-engineering/case-construction-patterns.md): Define reusable mechanisms for constructing cases and steer how benchmarks use or avoid them.
- [Case Pool](https://teammately.ai/docs/coverage-engineering/case-pool.md): Use the Case Pool to collect, triage, enrich, and promote candidate cases.
- [Coverage Gaps](https://teammately.ai/docs/coverage-engineering/coverage-gaps.md): Find missing or underrepresented behavior areas before benchmark evidence becomes misleading.
- [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.
- [Create a benchmark](https://teammately.ai/docs/coverage-engineering/create-a-benchmark.md): Create the durable Benchmark workspace in which you will define coverage, select Cases, and create reproducible Snapshots.
- [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.
- [Plan Benchmark Coverage](https://teammately.ai/docs/coverage-engineering/plan-benchmark-coverage.md): Apply project Coverage Facets to one benchmark, inspect representation, and turn important gaps into concrete case or contribution work.
- [Project Topics](https://teammately.ai/docs/coverage-engineering/project-topics.md): Maintain source-grounded subject areas, editable groups, and Atlas relationships used to organize project and benchmark coverage.
- [Dimensions and ontology](https://teammately.ai/docs/concepts/dimensions-and-ontology.md): Learn how dimensions and ontology values define the coverage space for a Teammately project.
- [Coverage Management](https://teammately.ai/docs/coverage-management.md): Manage benchmark coverage from setup through representation, Coverage Stories, case review, Case Foundry, and contribution requests.
- [Benchmark Datasets](https://teammately.ai/docs/benchmark-datasets.md): Select benchmark Cases, inspect representation, and freeze immutable Snapshots for reproducible evidence.
- [Weave](https://teammately.ai/docs/concepts/weave.md): Construct deliberate challenge sets from coverage structure, canonical cases, variants, multimodal materials, and supported worlds.

## Related
- [Case Segmentation](https://teammately.ai/docs/coverage-engineering/case-segmentation.md): Segment cases into meaningful behavior groups so benchmark coverage is explainable.
- [Generate a dimension schema](https://teammately.ai/docs/coverage-engineering/generate-dimension-schema.md): Ask Teammately for coverage-dimension proposals, then accept only the dimensions and ontology values that describe meaningful behavior.
- [Synthesize cases](https://teammately.ai/docs/coverage-engineering/synthesize-cases.md): Generate candidate cases to fill coverage gaps before adding them to benchmarks or curated datasets.

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