AI Won't Solve Coding: Why Critical Software Still Needs Human Oversight

The author challenges the notion that AI has solved coding, arguing that maintenance, reliability, security, and scalability remain key challenges. While AI excels in low-risk scenarios like personal projects or proof of concepts, critical industries such as healthcare, finance, and automotive require accountability—something AI cannot provide. The author highlights that AI’s probabilistic nature makes it ill-suited for logical tasks like coding, despite its ability to generate syntax. They caution against over-reliance on AI, citing examples like Anthropic’s flawed Claude Code, and urge leaders to prioritize reliability over velocity.