Is vibe coding just for MVPs or can I scale?
Quick Answer
You can scale AI-built apps to significant user bases. However, high-scale applications usually require professional optimization and may need partial rewrites.
Full Explanation
The 'vibe coding is only for MVPs' narrative is partly outdated, but there's nuance here.
What works at scale: Basic CRUD applications, content platforms, simple marketplaces, and most B2B SaaS tools can absolutely scale to thousands or tens of thousands of users on AI-generated code. Modern frameworks and cloud infrastructure handle a lot of complexity automatically.
Where you'll hit limits: High-performance applications (real-time features, heavy computation), complex data processing, applications with unusual security requirements, or anything serving millions of users will eventually need optimisation that AI doesn't automatically provide.
The practical approach: Build with AI, scale until you hit real problems, then invest in fixing those specific problems. Many startups raise funding, acquire customers, and generate revenue on AI-built code before ever needing professional optimisation.
Think of it like starting a restaurant in a food truck. You can serve great food and build a loyal customer base without a full commercial kitchen. If demand grows enough, you might need a bigger kitchen-but you'll have revenue to pay for it by then.
Related Questions
Is AI-generated code production ready?
It can be, but it requires review and testing. AI code is a starting point, not a finished product-treat it like hiring a junior developer who needs supervision.
What happens when my AI-built app breaks?
You debug it the same way any app is debugged-error messages, testing, and iteration. AI tools can often help fix issues they created, or you can hire help for complex problems.
What are the security risks of AI-generated code?
AI code can have security vulnerabilities like any code. Common issues include improper input validation, weak authentication, and exposed API keys. Professional review is recommended for sensitive applications.
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Related Questions
Is AI-generated code production ready?
It can be, but it requires review and testing. AI code is a starting point, not a finished product-treat it like hiring...
What happens when my AI-built app breaks?
You debug it the same way any app is debugged-error messages, testing, and iteration. AI tools can often help fix...
What are the security risks of AI-generated code?
AI code can have security vulnerabilities like any code. Common issues include improper input validation, weak...
Can I hire someone to fix AI-generated code?
Yes, AI-generated code is regular code that any developer can work with. It's often cleaner than average because AI...
How do I handle user data securely?
Use established services for authentication and storage. Minimise the data you collect. Understand privacy laws like...
What happens if my AI tool shuts down?
Most AI tools generate standard code you can export and continue developing elsewhere. The risk is real but manageable...