Why It Matters?
Even the best ideas choke under messy prototypes. “Vibe coding” with LLMs (letting AI drive solutions by feel instead of understanding) might get you moving fast, but it quietly drains momentum and stability.
The Consequences
- Code bloat that slows performance and increases maintenance costs
- Hidden complexity that makes every change riskier
- Compounding technical debt that’s harder to fix the longer it lingers
- The vicious loop of asking AI to fix the very mess it created—often making it worse
Months of vibe-coded fixes couldn’t solve our Android upload issue, Montana Banana nailed it in two hours. LLM after LLM gave us half-baked solutions that broke something else. Lesson learned: when it’s go-time, you need a pro.
Jessica
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