Change-Aware Test Generation
Tests are generated based on the actual code paths affected by your pull request — not random coverage padding.
Relevant unit tests from changed code paths to improve coverage and catch regressions earlier.
Most teams know they need better test coverage, but writing tests for every change is slow, tedious, and often skipped under deadline pressure. The result: regressions sneak in, coverage gaps grow, and confidence in deployments drops.
Codity generates relevant unit tests directly from changed code paths. It doesn’t produce generic boilerplate — it traces the logic of your actual changes and produces tests that target what matters.
Tests are generated based on the actual code paths affected by your pull request — not random coverage padding.
Catch breaking changes by generating tests that validate existing behavior against new modifications.
Test suggestions appear directly in the pull request alongside review comments, keeping everything in one workflow.
Identify untested logic and critical paths that need coverage before merge.
Test generation happens as part of the review — not as a separate step. Your team doesn’t need to context-switch.
Codity adapts to your project’s testing patterns, naming conventions, and frameworks instead of producing generic output.
Instead of blanket coverage, Codity targets the specific code paths your PR introduces or modifies.

Install Codity on your GitHub or GitLab repository in seconds.
Our AI analyzes your code changes with full codebase context.
Receive review comments, security alerts, and test suggestions in seconds.
Linters scan. Bots nitpick. Codity reasons. It sees cross-file dependencies, historical patterns, and architectural intent without you wiring rules for days.
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