Vibe Coding FAQ
Frequently asked questions about AI-assisted development — answered by the Garnet Grid engineering team.
General Questions
Q: Will AI replace software developers?
No. AI changes what developers do, not whether developers are needed. The role shifts from writing syntax to designing systems, reviewing AI output, making architectural decisions, and ensuring quality. History shows that productivity tools create more demand for software, not less — just as Excel didn't eliminate accountants, AI won't eliminate developers.
Q: Is vibe coding just for beginners?
The opposite — experienced developers get the most from AI tools because they can evaluate output quality, catch subtle bugs, and provide better context. A senior engineer using AI can produce 3-5x more output than without it, while maintaining quality standards that a beginner using AI couldn't achieve.
Q: Can I use vibe coding for production applications?
Yes, with discipline. Major companies ship AI-assisted code to millions of users daily. The key is maintaining the same code review, testing, and quality standards you would for human-written code. AI generates the first draft; human judgment ensures production readiness.
Technical Questions
Q: Which AI model is best for coding?
It depends on the task. Claude excels at complex reasoning and architectural planning. GPT-4o is strong at broad language coverage and creative solutions. For speed-critical code completion, purpose-built code models (like those in Copilot) often outperform general models. Most developers use multiple models for different tasks.
Q: How do I handle confidential code?
Options include local models (Ollama with Llama, MLX with Qwen), enterprise tiers with data privacy guarantees (Copilot Enterprise, Cursor Business), and self-hosted inference servers. Many regulated industries now use hybrid approaches — cloud AI for public code, local AI for sensitive code.
Q: What about code licensing?
AI-generated code doesn't carry any specific license — it's treated as your work product. However, AI may occasionally reproduce patterns from training data that are under specific licenses. GitHub Copilot includes a filter for this. For enterprise use, choose providers with IP indemnification.
Practical Questions
Q: How long does it take to become productive with vibe coding?
Most developers report meaningful productivity gains within 1-2 weeks. Mastering advanced techniques (context management, agentic workflows, custom rules) takes 1-2 months. The learning curve is less about the tools and more about developing a new mental model for human-AI collaboration.
Q: What's the ROI of AI coding tools?
Studies consistently show 30-50% reduction in development time for common tasks. At $20/month for a tool subscription, even saving 2 hours per month makes AI tools among the highest-ROI investments a developer can make.