Databutton Launches Point and Prompt Feature to Speed App Iteration by 70%.

Databutton announced on LinkedIn a Point and Prompt feature that lets users click any element in their app and fix it using natural language. The company claims early testing shows the feature cuts iteration time by 70%.

The feature works in three steps. Users click an element they want to modify, type a prompt describing the change they want, and see the update applied instantly. The workflow targets the most common friction point in app development: the back-and-forth of testing, spotting issues, and implementing fixes.

Databutton positions the update as the fastest way to fix anything in an app built on its platform. Rather than navigating through code or configuration panels, users can now point directly at the problem and describe the solution. The company demonstrated the feature with Milo AI, its development assistant, in a video walkthrough.

Point and Prompt is designed for rapid iteration rather than complex refactoring. Users working on business apps, dashboards, or internal tools can adjust UI elements, change behavior, or fix bugs without context switching. The feature doesn't replace traditional development workflows but compresses the feedback loop for small fixes and adjustments.

Databutton has been expanding its platform capabilities throughout 2025. The company recently added Gemini 3 support to its Riff platform and opened Riff Automations to teams after initially targeting vertical markets like finance and sales. Point and Prompt extends this push into faster development cycles.

The feature arrives as AI-assisted coding tools face pressure to reduce iteration overhead. Platforms like Lovable, Bolt, and Replit have all introduced natural language editing, but most still require users to describe changes in a chat interface rather than interacting directly with visual elements. Databutton's approach combines spatial selection with prompting, potentially lowering the cognitive load for non-technical users.

The 70% reduction in iteration time comes from internal testing, though Databutton has not yet published methodology or sample size. The metric likely measures the time between identifying an issue and deploying a fix, rather than overall development speed. If accurate, the improvement would be meaningful for teams building internal tools or prototyping customer-facing apps.

Databutton is making the feature available immediately at databutton.com. The company indicated in its announcement that users had been requesting faster iteration tools, suggesting demand for visual editing workflows in its user base. The feature works within Databutton's existing platform, which generates full-stack applications from natural language prompts.

Point and Prompt doesn't change what Databutton can build, but it does change how quickly users can refine what they've built. For teams already using the platform to generate apps from scratch, the feature removes a layer of friction between spotting a problem and fixing it. Whether that translates to sustained productivity gains will depend on how well the feature handles complex prompts and edge cases over time.