Discover how companies with large developer teams achieved $38M in revenue and a 426% ROI over 3 years.
Balance quality and speed with CloudBees Smart Tests. Cut through test complexity and costs, resolve failures quickly, and deliver quality software at the speed your business demands.
Within weeks, our customers ship new features up to 2x faster than before. Catching bugs quickly and early in the development cycle means your customers get a better product and customer experience while you stay ahead of your competition.
By focusing engineering efforts on high-impact areas, our customers see significant reductions in both computing costs and wasted engineering time. This eliminates hours spent waiting for long-running tests or troubleshooting low-impact test failures.
Our AI-powered test prioritization delivers feedback to developers up to 80% faster by running the most relevant tests first. Teams detect issues sooner while maintaining comprehensive test coverage, allowing developers to fix problems immediately.
Our intelligent test analytics engine automatically categorizes tests by performance characteristics, helping teams quickly identify flaky tests, long-running tests, and consistently reliable tests. Engineering leaders and devs have access to the same data.
Quickly identify and resolve test failures through intelligent classification and contextual insights. View failure histories, patterns, and detailed session data in one place. Automated notifications alert code owners fostering collaboration and ownership.
Not all tests are created equal: transform your testing pipeline with automated test binning and intelligent scheduling that maximizes CI/CD throughput. Get faster feedback on critical changes while maintaining confidence in your test quality and coverage.
Up to
Test execution time reduction
Up to
Annual release velocity
Up to
Cloud instances saved per test hour
“Dealing with hundreds of test cases is a huge pain point for developers. Every week, they’re hit with a flood of issues and have to go through each one, asking, ‘Is this a new problem?’ or ‘Is this something we’ve seen before?’ Then comes the painstaking task of figuring out what’s actually happening.”
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