The Digital Press

A developer discusses the challenges and evolving workflows when using AI coding assistants like ChatGPT and Claude, especially around hallucinated code and quality assurance.

Why it matters: AI-generated code can include errors like hallucinated features, requiring careful review and additional testing hooks.

The big picture: Developers are adapting by splitting tasks, running multiple AI agents, and integrating architecture oversight to manage AI limitations.

The stakes: Over-reliance on AI-generated code without thorough validation risks introducing flawed libraries and security issues.

Commenters say: Users highlight trade-offs between speed and quality, emphasize the need for human QA, and debate best practices for AI-assisted development.