Why Vibe Coded Projects Fail at Scale
Why Vibe Coded Projects Fail at Scale
Vibe coding - describing what you want in natural language and letting AI generate the code - is the fastest way to build a prototype. It is also the fastest way to create technical debt that kills your project at 10,000 lines.
The Honeymoon Phase
In the first few weeks, vibe coding feels like magic. You describe a feature, the AI generates it, you test it, ship it. No architecture discussions, no design documents, no bikeshedding over naming conventions. You move faster than you ever have.
The code works. It passes the tests. Users like the feature. Everything feels great.
Where It Breaks
Around the time your codebase hits 5,000-10,000 lines, patterns emerge that make vibe coding progressively harder.
Inconsistent abstractions. Each AI-generated module solves its immediate problem without awareness of how other modules solved similar problems. You end up with three different approaches to error handling, two different patterns for database access, and no shared utilities because each generation started from scratch.
Hidden coupling. When you tell AI to "make the dashboard show real-time updates," it might wire up a direct connection between components that should be decoupled. The feature works, but now you cannot change one without breaking the other.
Context limits hit hard. As the codebase grows, the AI cannot hold the full picture in context. It generates code that conflicts with conventions established in files it has not seen. Each new feature introduces subtle inconsistencies.
The Transition
The projects that survive the vibe coding phase do something specific: they stop and write architecture documentation before scaling further. Not waterfall-style design documents, but lightweight specs that establish patterns.
Define your error handling approach. Document your data flow. Establish naming conventions. Then use AI as an implementation tool within those constraints rather than as a freeform generator.
This is the difference between vibe coding and structured AI-assisted development. Both use AI to write code. One has guardrails.
Fazm is an open source macOS AI agent. Open source on GitHub.