Building a working app with AI has never been easier. Getting that app into production? That's where most projects quietly die.
A clear pattern has emerged across the AI coding tool landscape. Tools like Cursor, Replit, and Lovable let people build surprisingly functional applications in hours. Demos look great. Local environments work. Then the project hits what developers call the "last mile" and everything stalls.
Where Projects Break Down
The gap between "it works on my machine" and "it's live and serving customers" involves a checklist that AI coding assistants mostly can't handle yet:
- Infrastructure and hosting - Choosing between AWS, Vercel, Railway, or a dozen other options, then configuring them correctly
- SSL certificates and domain setup - The certificate chain, DNS propagation, and redirect rules that make HTTPS work
- Environment variables and secrets management - API keys, database credentials, and other sensitive config that can't be hardcoded
- CI/CD pipelines - Automated testing and deployment workflows that catch bugs before users do
- Monitoring and scaling - Knowing when your app is down or slow before your customers tell you
- Security hardening - Input validation, authentication, rate limiting, and the hundred other things between a demo and a production app
Each of these requires context that AI coding tools don't have: your cloud provider credentials, your team's deployment preferences, your compliance requirements. The tools can generate application code, but they can't navigate the messy reality of your specific infrastructure.
The Tools Are Getting Closer
This isn't a permanent limitation. Replit already offers built-in hosting that eliminates several of these steps. Lovable recently added deployment features. Cursor works inside your existing development environment, so CI/CD pipelines you've already built still function.
The companies closing this gap fastest are the ones that bundle deployment with development. When the same tool that writes your code also handles hosting, SSL, and environment config, the last mile shrinks considerably.
What This Means for Non-Developers
The promise of "vibe coding" - describing what you want and getting a working app - is real for prototypes and internal tools. For customer-facing production software, you still need someone who understands deployment, or you need to pick a platform like Replit or Lovable that handles it for you.
The honest assessment: AI coding tools have compressed the building phase from weeks to hours. The deployment and operations phase hasn't compressed nearly as much. That's where the next wave of tooling competition will play out.