Accelerate CI with autonomously-written Java unit tests
Add 100% autonomous AI-driven Java unit testing to your CI pipeline with Cover Pipeline for GitHub Actions
Introducing Cover Pipeline for GitHub Actions
Diffblue Cover Pipeline for GitHub makes unit test automation easier for teams to adopt and scale
Diffblue Cover autonomously writes and maintains unit test suites so developers don’t have to.
Get a rapid uplift of test coverage to accelerate CI adoption
Inadequate test coverage or the absence of unit tests can impede true CI implementation.
Diffblue’s cutting-edge reinforcement learning AI platform eliminates this obstacle with a seamless integration with your GitHub Actions workflow, autonomously generating and maintaining unit tests to raise your test coverage with ease.
Catch regressions and find bugs early
Diffblue Cover equips developers with an unparalleled level of unit test coverage, code quality insights, and robust regression detection capabilities.
This empowers teams to swiftly identify and resolve defects, ensuring code behavior remains consistent after fixes are implemented.
Spend less time debugging errors or resolving merge conflicts. Spend more time writing high-quality code.
Mitigate risks in refactoring legacy code
Refactoring legacy or poorly-understood code without sufficient unit test coverage often leads to new regressions.
This can make application modernization and cloud migration projects risky and error-prone, which often results in extended cycle times.
The Diffblue Cover-GitHub integration ensures you have the code coverage you need for fast, safe and effective Java modernization.
Achieve application quality at scale with AI
On first use, Diffblue Cover generates a comprehensive test suite for your entire project. When pull requests are submitted, Diffblue Cover automatically updates these tests to align with the new code behavior.
Your development team can now efficiently detect regressions and unexpected behavior changes, maintaining the integrity and reliability of your codebase.
There’s no need to review unit test code line-by-line as you would with code suggestion tools, and Cover’s reinforcement learning produces more accurate code as opposed to LLM-based AI tools.
Getting started is easy
Download a free 14-day trial today
