I’ve been using AI-assisted coding tools to build products faster, and the productivity gains are real.
Getting from idea → working prototype is no longer the bottleneck.
What caught me off guard was everything that happens after the MVP:
- Authentication and authorization
- Rate limiting
- Database migrations
- Monitoring and observability
- Error handling and retries
- Infrastructure scaling
- Secrets management
- Security reviews
- CI/CD pipelines
- Cost optimization
The AI-generated code wasn’t necessarily the problem.
The challenge was that production systems are defined by reliability, maintainability, and operational concerns, not just feature completeness.
AI tools can generate a feature.
They can’t automatically make decisions about architecture, operational trade-offs, security boundaries, or long-term maintainability.
My biggest takeaway:
Vibe coding is great for discovering what to build. Engineering is still required to keep it running.
Has anyone else experienced this transition from “working prototype” to “production-ready system”? What was your biggest challenge?
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