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- **Identifying flaky tests**: Query for flaky tests in your repository and get prioritized recommendations for which to fix first.
- **Analyzing CI performance**: Get aggregated statistics on pipeline durations, failure rates, and trends over time.
- **Triaging test failures**: Understand which tests are failing, their ownership, and historical patterns.
- **Reviewing code coverage**: Get coverage summaries for branches or commits, including patch coverage and breakdowns by service or code owner.
- **Reviewing code coverage**: Get coverage summaries for branches, commits, or pull requests, including patch coverage, per-file line data, and breakdowns by service or code owner.
- **Measuring DORA metrics**: Query deployment frequency, change lead time, change failure rate, and recovery time by service or team.
- **Checking test optimization settings**: See which Test Optimization features are active for a service, including Test Impact Analysis, Early Flake Detection, and Auto Test Retries.
- **Retrying failed CI jobs**: Queue a retry for a failed GitHub Actions or GitLab job without leaving the agent session.
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`get_datadog_code_coverage_commit_summary`
: Fetch aggregated code coverage summary metrics for a repository commit, including total coverage, patch coverage, and service/codeowner breakdowns.

`get_datadog_code_coverage_pr_summary`
: Fetch aggregated code coverage summary metrics for a pull request, including total coverage, patch coverage, and service or codeowner breakdowns.

`get_datadog_code_coverage_files`
: Fetch per-file code coverage line data for a repository commit, branch, or pull request, including executable lines, covered lines, and added lines for each file.

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`get_datadog_test_optimization_settings`
: Retrieve which Test Optimization features are enabled for a service, including Test Impact Analysis (ITR), Early Flake Detection (EFD), Auto Test Retries (ATR), Failed Test Replay, Code Coverage collection, and PR Comments.

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