Context-driven testing rejects the notion that there's a universal "best practice" for QA. Instead, it holds that the value of any testing approach depends entirely on the context you're operating in. What works at a regulated bank with 50 QA engineers is actively harmful at a startup with one contractor and no formal QA process.
And right now, that distinction matters more than ever.
AI is creating a false sense of coverage. Teams are generating thousands of test cases with LLMs and mistaking volume for coverage.
Without proper context, you end up with beautifully written test cases that miss the actual risk entirely.
In startup environments especially: apply heavyweight process to every feature and you'll be ignored. Test everything equally and you'll miss what actually matters to your customers.
