Show HN: Don't ask if devs cheat with AI, test if they're good with it (tryevaluator.com)

A new technical assessment tool, "Evaluator," aims to revolutionize how companies assess software engineering candidates by focusing on their collaboration with AI tools. Unlike traditional hiring practices that often view AI as a possible crutch for candidates, Evaluator treats proficiency with AI as a valuable skill to be graded. The assessment evaluates candidates across five key dimensions: prompt quality, reading AI-generated code, fixing AI code, critical critique of AI codes, and live collaboration with AI. This approach encourages the identification of candidates who not only utilize AI effectively but also possess the foundational programming skills necessary to produce high-quality work. The significance of Evaluator lies in its recognition that AI tools are now integral to the development process, with the bottom quartile of engineers merely accepting AI-generated outputs, while top performers enhance and refine those outputs. By customizing assessments based on specific job descriptions and tech stacks, Evaluator offers tailored evaluations that measure a candidate’s ability to engage with AI while still mastering essential coding competencies. As hiring needs evolve, this platform positions itself as a pioneering method of identifying the next generation of developers who can effectively harness AI in their work.