Who's to blame when AI writes buggy code? A veteran engineer explains accountability in the age of AI.

A podcast transcript explores a crucial question emerging in software engineering: who is accountable when AI writes the code? Hugo Venturini, a veteran engineer with experience at Meta and as a CTO, discusses the shifting responsibilities in development as AI tools become more integrated. The conversation covers how traditional roles like code reviewer or QA engineer are evolving when AI is involved in the generation and review process. The core issue is establishing a clear chain of accountability, ensuring that human engineers remain ultimately responsible for the final product, even when leveraging AI assistants. This shift requires building cultures of transparency and psychological safety so teams can discuss and take ownership of AI-generated outputs. The takeaway is that AI is a powerful tool, but responsibility for the code that ships still rests firmly with the humans who build and deploy it.