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Why AI Coding Tools Still Struggle With Large Production Systems

One thing I’ve noticed after building multiple AI-assisted projects:

AI removes a lot of friction from coding.

But the larger the project becomes, the more important architecture and long-term thinking become.

Generating code is easy.

Maintaining clarity across a growing system is the hard part.

AI is excellent at:

prototyping
debugging
automation
repetitive coding tasks

But production systems introduce different problems:

edge cases
maintainability
scaling
technical debt
business logic complexity

That’s where experienced developers still have a huge advantage.

I don’t think AI will replace software engineers.

I think engineers who understand how to collaborate with AI will outperform those who don’t.

The real shift is not “AI vs developers.”

It’s:
developers + AI vs developers without AI.

What has your experience been with AI coding tools so far?

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