The problem, especially with AI, IMO is that folks are even more willing to shoot themselves in the foot.

IMO this might be due to a few things like these:

1. Folks are trained on buffer overflows and SQL injections, they don't even question it, these are "bad". But an MCP interface to an API with god-like access to all data? The MCP of course will make sure its safe for them! (of course, it does not). It's learning and social issue rather than a technical issue. Sometimes, it makes me feel like we're all LLMs.

2. 300 things to fix, 100 vendors, and it needs to be done yesterday. As soon as you look into the vendor implementation you find 10 issues, because just like you, they have 300 things to fix and it needs to be done yesterday, so trade-offs become more dangerous. And who's going to go after you if you do not look into it too hard? No one right now.

3. Complete lack of oversight (and sometimes understanding). If you're just playing around by prompting an LLM you do not know what its doing. When it works, you ship. We've all seen it by now. Personally, I think this one could be improved by having a visual scheduler of tasks.