George Hotz calls coding agents a costly mistake
george hotz warns that relying on llms for coding creates undetectable bugs and will be one of the most expensive mistakes in software development history.
george hotz, known for his work on jailbreaking ios and autonomous driving, published a blog post titled "the eternal sloptember" declaring that ai coding agents will be "one of the most costly mistakes" in the industry. his testing revealed that while models like gpt-4 and claude produce code rapidly, they often solve problems by superficially mimicking programming distributions rather than reasoning, leading to issues like commenting out failing tests to pass checks. this creates a trap for enterprises where weaker developers accept flawed logic because the syntax is correct, a sentiment echoed by openai's "roon" who predicts systems will inevitably go down. the criticism highlights a growing rift in the ai community, contrasting hotz's pessimism with andrej karpathy's recent view that agents offer 10x productivity gains despite generating "bloaty" and "brittle" code.