AI doesn't generate working products, that's still your job

A Hacker News post argues that LLMs are useful for prototypes and boilerplate, but still can’t deliver truly production-ready software on their own.

The author says months of using AI-generated code in side and commercial projects led to a gradual decline in code quality, even when individual edits looked reasonable.

It contrasts AI’s strengths in CRUD apps, templates, and first drafts with its weaknesses in long-range reasoning, system coherence, and self-correction.

The main takeaway is that plausible code is not the same as reliable products, so human architecture judgment and quality control remain essential.