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this post was submitted on 08 Jul 2026
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The major issue I'm seeing with junior (and even intermediate) developers is that they trust that the AI will always do things the correct way and don't question its approach, and they don't develop proper debugging skills and just rely on the AI to attempt it.
To get decent quality output out of an AI model, you need to have critical thinking skills, at least basic knowledge of the overall architecture for whatever you're trying to build, and enough knowledge to question the model when it does something wrong.
Blindly trusting AI is why so many old security issues are coming back - stored/reflected XSS, SQL injection, exposing databases directly to the internet with no password, things like that. Newer frameworks mostly got rid of them, and now AI is bringing them back. It's a fun time for red teams at least.
I'm a developer since 20 years and been trying out vibing godot and I expected it to have troubles with Godot but at least getting basic programming paradigms right but it has been more the other way around. I'm constantly policing it for hardcoding or creating unmaintainable messes where the base classes have exceptions for each child instead of them owning their own logic.