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I’ve been using AI tools like GPT-4, GitHub Copilot, and Blackbox AI to speed up coding, and they’re awesome for saving time. Of course, no one just blindly trusts AI-generated code review and testing are always part of the process.
That said, I’m curious: how reliable do you find AI code in real-world projects? For example, I used Blackbox AI to generate some React components. It got most of the UI right, but I caught some subtle bugs in state handling during review that could’ve caused issues in production.
So, where do you think AI-generated code shines, and where does it still need a lot of human oversight? Do you trust it more for certain tasks, like boilerplate or UI, compared to complex backend logic?
submitted by /u/Secret_Ad_4021
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