AI In QA Testing That Fits Your Repository

A test suite is only as useful as the context it was written with. Applying AI in QA testing well depends on giving the model the team's own context, such as page objects, fixtures, naming conventions, and defect history. QASource builds generation around them, so scripts are written to belong in the client's repository rather than beside it.