Your AI-generated code might work perfectly, but that doesn't mean engineers will approve it.
Tammuz Dubnov (AI Product Development Expert & CTO) explains why vibe coding becomes more complicated when moving from small standalone apps to real production software.
With AI coding tools, a product manager can build a feature, test it, and see that everything works.
But when engineers review the pull request, they might discover something very different.
The code is five times longer than necessary.
It doesn't reuse existing components.
It's difficult to maintain.
And suddenly, a feature that looked ready to ship becomes a software engineering problem.
Tammuz also explains that some product managers successfully use AI to make small, targeted changes to existing codebases.
The real difference isn't whether AI can generate working code. It's whether that code fits into a production system.
Would you approve AI-generated code if it works but isn't maintainable?
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