AI-GENERATED CODE TESTING

AI ships. Humans check the seams.

When models write features fast, a dedicated engineer exercises the journeys those changes create—edge cases, broken assumptions, and the gaps between prompts and product behavior.

Bring an engineer into your team

What we look at

  • Prompted or assisted changes that touch user-facing journeys
  • Unexpected states after AI-assisted refactors
  • Copy, validation, and recovery paths introduced with generated code
  • Integrations and data flows altered by assisted edits
  • Regression risks around the changed area

What your team receives

  • Reproducible findings with steps and evidence
  • Notes on what the change assumed versus what users encounter
  • Coverage of agreed journeys after assisted releases
  • A clear pass, fail, or blocked result for the release decision
This is human product testing of software that includes AI-assisted changes. It is not a source-code audit, model evaluation, or security review.

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One more human.
One better release.

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