Feature Overview

Datadog Code Coverage gives you a unified view of your code coverage across lines, files, branches, and both mono- and multi-repo environments. By detecting untested changes early and enforcing consistent coverage thresholds through automated PR gates, you can maintain reliable, high-quality code even as development accelerates. Coverage insights surface directly in your pull requests, helping you quickly address gaps and uphold consistent testing standards across every repo.

Gain unified visibility into test coverage across every repository

Visualize coverage across lines, files, services, codeowners, and both mono- and multi-repo codebases to quickly identify untested areas
Detect missing tests with line-level annotations that pinpoint exactly where coverage gaps exist
Track coverage trends across branches and commits to monitor how code quality evolves over time

Code coverage dashboard showing overall coverage, patch coverage, and coverage trends

Enforce consistent testing standards with automated PR quality gates

Apply overall and patch coverage thresholds to automatically block untested code from merging
Standardize testing requirements across repositories to reduce variability and ensure consistent quality
Surface coverage results directly in PR comments so developers receive instant feedback on what needs to be fixed

Pull request quality gate configuration showing code coverage rules and settings

Improve test reliability with context-driven insights

Automatically generate tests for uncovered code with Bits AI Dev Agent, using repository context
Quickly understand whether untested code aligns with critical systems or frequently executed paths
Proactively strengthen your test suites by identifying gaps before they lead to production issues