In traditional software development, designers and engineers anticipate what people might need, build those features, and then ship them. When integrated into an application, AI code generation upends this sequence. People can just describe what they want and the app writes the code needed to do it on demand.
Reve's recent launch of Effects illustrates this transition. Want a specific film grain look for your image or video? Just describe it in plain language or upload an example. Reve's AI agent will write code that produces the effect you want and figure out what parameters should be adjustable. Those parameters then become sliders in an interface built for you in real-time.
Instead of having to find the menu item for an existing filter (if it even exists) in traditional software, you just say what you want and the system constructs it right then and there.
When applications can generate capabilities on demand, the definition of "what this product does" becomes more fluid. Features aren't just what shipped in the last release, they're also what users will ask for in the next session. The application becomes a platform for creating its own abilities, guided by user intent rather than predetermined roadmaps.