Originally published on labitcode.com.
In the early wave of generative AI, the software industry embraced "vibe coding" — prompting an LLM in an open chat window, hitting apply, and tweaking code until the test suite or browser stopped throwing errors.
For weekend prototypes and disposable scripts, vibe coding feels like magic. But when applied to production monoliths, distributed microservices, or long-lived codebases, it quickly degenerates into an unmaintainable tangle:
Context Rot & Compounding Hallucinations: As chat conversations grow beyond 15–20 iterations, the LLM loses track of earlier decisions and starts reverting fixes or introducing regressions.
Lost Architectural Intent: When code is generated directly from conversational prompts, the reasoning vanishes once the chat window closes.
