Vibe Coding Lessons from a Real Project
My Vibe Coding Lessons began with one bold goal. I wanted to build a production app using Google AI Studio. I refused to write code myself. Instead, I treated the AI like a teammate. I used Gemini 3.0 Pro to handle development tasks. However, things got messy fast. At first, the AI moved quickly. It rewrote working features without warning. Sometimes the ideas were brilliant. More often, they caused regressions. Therefore, I added strict rules. The AI had to reason before coding. It had to wait for approval. Even then, it sometimes ignored instructions.
Guardrails Matter More Than Prompts
I learned that AI needs governance. It does not naturally respect architecture. Without constraints, it refactored stable code and broke features. As a result, I enforced boundaries. I separated AI output from deterministic business logic. I required structured validation at every step. Testing became another challenge. Since the tool could not run tests, I reviewed everything manually. In addition, I asked it to draft a Cypress-style suite to guide changes. Surprisingly, the AI excelled as a consultant. When I asked it to act like Nielsen Norman Group, the feedback improved. It cited usability principles and suggested practical design fixes.
That shift changed everything. I stopped seeing it as a senior engineer. Instead, I treated it as a powerful but unmanaged contributor. By the end, vibe coding felt like defensive pair programming. “Trust, but verify” became my rhythm. Strong architecture made the
difference. AI accelerated exploration. However, human oversight ensured production quality. Together, the partnership worked.
