Hi Hunters! 👋 I'm Jianguo, and I'm thrilled to introduce ObjectStack AI today alongside our team. The Problem: As we were exploring AI Agent CLI integrations and trying to get AI to build enterprise apps like CRMs, we hit a massive wall: codebase bloat. If you ask an agent to write traditional backend and frontend code across dozens of screens, it quickly exceeds the context window, leading to hallucinations and broken logic. Our "Aha" Moment: We realized that AI shouldn't be writing raw boilerplate code. It should write schemas. The Solution: That’s why we built ObjectStack. It is an open-source, metadata-driven framework that shrinks the entire business ontology (data objects, views, workflows, permissions) into a format compact enough to fit into a single AI context window. The agent writes the metadata, and our ObjectQL runtime dynamically derives the database, REST API, and UI. We'd love for you to try building an app with our 60-second quickstart command: npm create objectstack@latest my-app I'll be hanging out in the comments all day. What do you think about moving from raw code to schema-driven architectures for AI? Let me know your thoughts! 👇

ObjectStack AI

Build enterprise apps in one AI context window.

Build enterprise apps in one AI context window.