What Is Automated Test Generation?

Automated Test Generation is the use of AI to create unit, integration, and regression tests directly from existing code or requirements, establishing a reliable testing baseline before any changes are made.

Writing comprehensive tests manually is slow and often the first thing skipped under deadline pressure, which is exactly how bugs slip into production. AI-generated tests can build meaningful coverage far faster than a manual effort, and, critically for modernization projects, they can establish a baseline of tests against an old system before it's touched, so changes can be verified against known, correct behavior rather than discovered to have broken something only after users notice.

We use automated test generation both in day-to-day development, to build coverage faster without slowing delivery, and specifically at the start of legacy modernization projects, where it captures how the existing system behaves before any code is changed. This gives a safety net for later refactoring or rearchitecting work, since any deviation in behavior is caught by the test suite rather than by a customer. Generated tests are reviewed by our engineers rather than accepted automatically, ensuring the coverage is meaningful and genuinely reflects the business logic that matters, not just superficial code paths.