Unit testing

Put your existing unit tests to work.

Your repository already contains useful knowledge about expected behaviour. Run supported unit tests as part of a reviewed quality plan, with the exact source revision, native results and incomplete work available for inspection.

Start with tests your team already recognises.

Repository inspection reads supported configuration and selected test files at a pinned commit. The setup proposal shows what was discovered and what remains outside the inspection. The existing-test onboarding path selects a small baseline by default, giving your team a bounded starting point to review before approving execution and its cost.

Preserve the result your framework produced.

Supported Jest, Vitest and declared command adapters retain native test evidence. The adapter approach requires its runtime and tools to be installed in the qualified runner image. Missing tools, partial reports and skipped work remain visible. Where coverage is declared, the report preserves the available native counts and identifies incomplete evidence.

  • Review the detected suites and exact tested source.
  • Keep failures and incomplete results attached to their run.
  • Combine unit checks with approved API, property and mutation methods.

Use a baseline to plan the next checks.

A baseline can show how the selected existing tests behaved. It cannot establish that every requirement was tested or grant release readiness on its own. An evaluation reviews your framework, project layout, environment and desired scope so the first result leads to a useful next decision. Additional methods can challenge behaviours the current suite leaves unchecked.

Questions about this testing method

01Does every language work automatically?

Support depends on the available native engine or declared adapter and its qualified toolchain. An arbitrary command alone does not establish complete language or framework support.

02Can passing unit tests approve my release?

They contribute evidence for their tested scope. Required methods, current source identity and outstanding obligations still matter, and your team retains the release decision.

Meet your AI testing workhorse

Bring your toughest code.
Set your highest bar.

See how the AI testing team would challenge your next release. We’ll scope the methods, automation and evidence around your software.

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