CaffeineAI, the AI-powered app-building platform, is facing questions from its community over how it can better support both non-technical creators and serious developers. A recent social media discussion highlighted issues including template quality, code ownership, GitHub integration, multi-canister architectures, and user tracking.
Kristofer Lund, a key voice in the conversation, said that non-technical users need robust templates as a starting point so they don’t have to set up things like user management from scratch. He highlighted that CaffeineAI already allows apps to access “audited modules” for services such as email and Stripe payments, and he hopes to see smaller prebuilt canister components in the future. He emphasised, however, that this is a personal wish rather than a formal roadmap commitment.
Some users expressed frustration with current limitations. Ajki called for full two-way GitHub integration so that code could be edited outside of CaffeineAI. Without this, they argued, the AI can get stuck on problems that would be trivial for a human to fix, making the platform risky for production-ready apps.
@Oscar_ivs added that they are stuck with their Caffeine app despite identifying the problem and specifying which code to replace, noting that the AI either makes partial fixes or no change at all. This has left them blocked for weeks.
Lund responded that major changes are coming to how Caffeine interprets prompts, which should allow more detailed instructions and reduce dead ends. Combined with export and import functions, these changes mean users can always recover and continue building. He estimated the updates could arrive within six to eight weeks, though the timeline is tentative due to necessary testing.
The discussion also covered multi-canister architectures, which enable more complex app structures beyond the basic frontend/backend split. When asked if this is on the active roadmap, Lund said it is not currently a priority. He explained that CaffeineAI is mainly focused on helping non-developers build apps easily, while advanced users can still create ICP apps using traditional development methods. He noted that a single canister can already achieve a lot, citing Odin.fun as an example, and suggested that precompiled canisters could eventually act as “plugins,” though there is no timeline for that feature.
Another topic raised was user tracking. Markus_B30 questioned how CaffeineAI will handle analytics if every user is counted as a developer, since analytics typically rely on GitHub accounts. Lund responded that such metrics are largely vanity numbers within the small cryptosphere, and what truly matters is real adoption and genuine use of apps built on the platform.
The conversation reflects a platform balancing accessibility and ambition. Users appreciate CaffeineAI’s simplicity but are pushing for tools and integrations that make it viable for advanced projects. With upcoming updates to prompts, export/import functions, and potential new canister modules, the community will be watching closely to see how these changes affect workflows and adoption.
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