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AI-generated code tends to become unmaintainable due to structural problems: monolithic outputs, implicit circular dependencies, missing contracts, and implementation-only documentation. The core issue is that AI tools generate code without real-time structural feedback, producing what the author calls 'black boxes.' The solution isn't better prompting but enforcing architectural constraints during generation itself — explicit component boundaries, validated dependency graphs, isolated testability, and typed interfaces. Practical advice covers how to prompt with architectural intent, audit existing generated code for implicit coupling, and evaluate AI tools by their post-generation reviewability and structural enforcement.

The Black Box Problem: Why AI-Generated Code Stops Being Maintainable

The Real Question: How Fast Can You Get to Production and Stay in Control

It’s not like AI’s problem- if users don’t know how to use them

Good read. The hardest part is not getting code generated, it is making sure the output still has enough structure and intent to stay maintainable over time.

AI generate tech debt 100% agree.
Is it ok? totally, this is where the dev is supposed to come in -&gt; this works now I refactore it for a maintainable/structured code.
IMHO the real problem is project managers should just stop pushing for “it works” but should push for “it works and is properly coded”.
Problem solved

Lol, there are a difference between artificial intelligence and human stupidity. If llm I given you monolithic code is coz your not explicit enough. If there were a Murphy’s Law for AI-assisted development, it would be: What is not explicitly specified is implemented inconsistently.

I don’t give AI free reign. I have it build components. Components are not only maintainable they are replaceable.