Research & Reports
The rise of AI-native application development
A look at how AI is reshaping who builds software and how — from code assistants to full prompt-to-application platforms.
Software creation is going through a shift as significant as the move from desktop to web. The through-line is AI moving from assisting code to generating whole applications.
Three waves
- Autocomplete and code assistants that speed up engineers.
- AI that scaffolds features and files inside existing projects.
- Prompt-to-application platforms that build and run real apps end to end.
What "AI-native" means
AI-native development treats natural language as a primary interface to software creation, with real code as the durable output. The goal isn't to remove engineers — it's to widen who can build, and to let engineers spend their time on the hard, novel parts.
What to watch
- Ownership: does the platform give you real, exportable code?
- Reliability: is generated software verified before you see it?
- Integration: can it connect to the tools you already use?
For a practical take, read when to use AI builders.