# Check candidate correctness

> Use Teammately benchmark evidence to compare a candidate behavior change against a baseline before internal human review.

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
- [Check candidate correctness](https://teammately.ai/docs/integrations/check-candidate-correctness.md): Use Teammately benchmark evidence to compare a candidate behavior change against a baseline before internal human review.
- [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.
- [Run a Benchmark Evaluation](https://teammately.ai/docs/benchmark-evaluations/run-evaluation.md): Launch exact active Harness Versions against an immutable Benchmark Version as standard or repeated Run Groups.
- [Compare Harness Versions](https://teammately.ai/docs/benchmark-evaluations/compare.md): Compare two or more saved Harness Versions in a symmetric evidence matrix across Cases, evaluators, and Coverage Facets.
- [Improve](https://teammately.ai/docs/improve.md): Coordinate durable Improvement Sessions from pinned benchmark evidence through Goal Contracts, candidates, evaluations, trajectories, and frontiers.

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