12 minutes readKey takeaways AI is moving performance testing from scripted runs to continuous analysis of production-like behaviour. The gain is in triage: finding which change caused a regression, not just that one exists. Tooling has converged enough that the differentiator is workflow fit rather than raw capability. AI Performance Testing in 2026: Why This Year Marks… Read more »
5 minutes readKey takeaways Non-functional requirements are testable numbers: response time, availability, throughput. Vague requirements like fast or scalable cannot be verified and get argued about later. Write them with a measurement method attached, not just a target. Every time a website crashes under load, or a feature responds so slowly that users abandon it, you’ve run… Read more »
4 minutes readKey takeaways Unit tests check a piece in isolation; functional tests check behaviour a user would notice. Unit tests are fast and precise, functional tests are slower and closer to real risk. You need both, in different proportions, rather than choosing between them. Testing software is a lot like checking your homework before turning it… Read more »
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