Getting Started
Test Optimization significantly slashes testing timelines by 50% to 90% and reduces resource expenses by up to 70%, enhancing both automated and manual testing.
It intelligently cherry-picks essential tests linked to code changes across various test types, employing machine learning for precise coverage without compromising quality.
This functionality is adaptable, seamlessly functioning within pull requests, nightly test runs and extensive test cycles (automated or manual).
The Three Pillars of Testing Efficiency
Optimizing your test suite significantly slashes CI/CD compute usage and infrastructure bills. Additionally, by automating the "what to test" decision, you eliminate repetitive manual regression and free your QA team for high-value strategic tasks.
By isolating tests to specific code changes, SeaLights makes debugging effortless. When a test fails, you know exactly which change caused it, removing the guesswork and "noise" of massive regression suites so you can fix issues in minutes, not hours.
SeaLights slashes operational overhead by pruning redundant test executions. By optimizing your test suite, you reduce CI/CD compute usage and environment wear-and-tear, significantly lowering infrastructure bills while maintaining full quality assurance.
Use Cases By Persona
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