Happy Path Testing – Still Relevant in 2026?
Just read this interesting piece on happy path testing. It argues that even with AI generating tons of edge & negative cases, solid happy path coverage remains the foundation – quick to execute, builds confidence, and catches 80%+ of real defects fast. Do you still prioritize happy paths first, or has GenAI made them less critical? What's your current approach?
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I still think solid happy path testing coverage is essential, even with all the GenAI hype around edge and negative cases. Happy paths are quick to execute, easy to automate, and catch the majority of real-world defects early — they build confidence in core flows before getting into the weeds. In our projects we still start with happy paths first, then layer in AI-generated edge cases and exploratory checks. GenAI speeds up creation, but it hasn’t replaced the need for a reliable foundation; it just expands what we can cover faster and more thoroughly.