Technical hiring is abandoning live coding tests as AI makes cheating trivial, shifting focus to code review, debugging, and architectural thinking instead.

What happened: The article argues that traditional programming tests and live coding interviews have become obsolete because AI tools can now generate large amounts of code instantly, making it easier to cheat than to demonstrate genuine skill. The author proposes replacing these tests with five new evaluation pillars: cultural fit, algorithmic design (using pseudo-code), architectural thinking, code review ability, and debugging skills.

Why it matters: As AI handles boilerplate code generation, the human role is shifting from pure creation to editing and auditing. The ability to review, critique, and verify code—rather than write it from scratch—is becoming the critical differentiator for engineers. Candidates who cannot debug flawed code or understand architectural tradeoffs risk becoming a liability rather than an asset, even if they can technically write syntax.

What to watch: The author notes a stark trend: LLMs are becoming the ultimate coders for routine boilerplate work, pushing hiring back toward a model where only true engineers—those who can design algorithms, manage data flow, and handle distributed system complexity—remain valuable. The traditional distinction between engineers, developers, and coders is collapsing in favor of engineers alone.