Why AI Features Require a New Testing Strategy

As AI features become integral to software products, traditional QA processes fail to account for the non-deterministic nature of language models. This article exposes critical gaps in standard testing pipelines when applied to AI-generated code, revealing that specialized tools like eval suites and golden datasets are not optional but essential. Development teams must rethink their entire QA approach as AI integration becomes the norm rather than the exception.