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Why AI-vibe-coded apps often collapse once they reach real production

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A growing trend sees founders using AI agents to build and launch software products in days, often without writing any code themselves. However, these products frequently run into serious problems once real users arrive, including hard-to-trace bugs and features that require rewriting large portions of existing code. The core issue is that AI-assisted speed addresses code generation but does nothing to solve domain modeling, architectural decisions, or technical debt. Experts argue that the genuine bottleneck in building software was never writing speed, but rather understanding the problem deeply enough to design something sustainable. Vibe coding can validate an idea quickly, but without proper domain modeling upfront, most such products stop evolving within months of going live.

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