This may not be a popular opinion but I’ll say it anyways. I’ve done a lot of this and am sharing anecdotal information.

The claims that AI writes inefficient code may often be right. If and when it’s an observed problem, you can use AI to improve performance.

The claim that AI writes insecure code is probably also correct. You’ll want better safeguards here based on your product. The infrastructure you choose to deploy on can help as well - the LLM can help you design for this.

The claims that AI will delete your database are unlikely and an indication that permissions were too loose. You can also sandbox the code which runs. Again, AI can help you design this.

This is not an endorsement to blindly deploy code you haven’t verified.

My feedback is to be as optimistic as possible. Learn where the edges are. Find ways to patch them systematically. And let your confidence grow or shrink from your own experience.

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