Caffeine builds and updates full-stack web apps through conversation, with draft and live versions running on the Internet Computer.
Caffeine
Explore features, practical uses and pricing below.
Caffeine is a conversational builder for full-stack web applications. You describe the interface and behavior you need, review the result, and request changes in the same conversation. It is intended for people who want to create software through natural language rather than starting with a code editor.
Suitable projects include internal trackers, booking workflows, community tools and small business applications. It can also create websites, but its defining feature is generating the application behind the page. A team should begin with a clear account of what users will enter, what data must persist and who may change it.
The product guide says Caffeine apps run on the Internet Computer, with backend code in Motoko. Its documented frontend uses React and TypeScript, while app data uses the network's persistence model. Internet Identity supplies authentication. This is a specific application architecture rather than a choice of any backend language or database.
Projects have separate draft and live versions. According to the publishing guide, AI changes first appear in draft, where you can test before pushing them to the live URL. Version history identifies the current draft and the published build, helping you see whether new changes have reached users.
Caffeine also supports exporting source code to GitHub or downloading a ZIP. That provides a route for developer review or work outside the builder. Export should not be confused with a promise that externally edited code can already be imported back into the project.
A small studio could describe an app with an equipment list, booking dates and a staff dashboard. The initial prompt should state whether staff can edit only their own reservations and who can administer equipment. These rules are more useful than asking for an attractive booking page without explaining its behavior.
After generation, the team can try the draft with sample equipment and conflicting bookings. They should inspect permissions, empty states and what happens when an item is unavailable. Requesting one correction at a time makes it easier to determine whether a change solved the intended problem.
Once the flow is satisfactory, publish it and check the live URL using an ordinary user account. Future changes can be reviewed in draft before publication. Keep important operational records outside temporary draft data, which the documentation says can be cleared when an expired draft is restored.
The capability guide excludes native iOS and Android apps, external databases such as PostgreSQL, and conventional cloud deployment stacks. Mobile-browser access is different from producing a native app. Check required integrations and architecture before investing in a project; a working interface cannot overcome an unsupported requirement.
Complex builds still need careful testing and may need smaller changes or developer involvement. Review authentication and business rules yourself. Vendor claims about infrastructure protection do not establish that every generated application's logic is correct.
The pricing page lists a free remix option with welcome credits and paid plans for broader creation and use. Builds consume credits, and live-app persistence depends on maintaining the relevant subscription. Compare current publishing, collaboration, credit and hosting terms before treating a prototype as an ongoing business system.