With tools like Cursor, Copilot, and AI coding agents, the way developers work is changing fast. In many real-world tasks, developers now use AI to generate code, debug issues, refactor functions, and build features faster. So this raises a question. Should companies still focus on traditional technical interviews (algorithms, whiteboard coding, etc.), or should they start testing how well developers use AI tools? For example, give candidates a feature and evaluate things like: how they structure prompts how efficiently they use AI how many iterations it takes to reach a working solution how well they review and improve AI-generated code Two developers might both use AI, but one could build a clean feature in 10 minutes while another burns credits with bad prompts and messy output. In the future, is the real skill writing code, or knowing how to collaborate with AI to build software faster? Or does relying too much on AI risk creating engineers who can’t actually code? Curious what people here think. submitted by /u/IcyBottle1517
Originally posted by u/IcyBottle1517 on r/ArtificialInteligence