Short answer
Vibe coding is legitimate when it’s guided by strong engineering discipline. It’s fast for prototyping, but production readiness still needs validation, tests, and clear guardrails.
What makes it reliable
- Clear scope and acceptance criteria
- Human review and QA
- Controlled data inputs and tool access
Common pitfalls
- Over-trusting AI output without validation
- Ignoring edge cases and data quality
- Shipping without monitoring and fallback plans
How we make it production-ready
We add guardrails, test flows, and ensure predictable behavior before launch. The speed comes from AI, the reliability comes from process.
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