Stop Writing Glue Code: Build AI-Perceivable Modules with apcore

AI Agents are only as good as the tools they can use. But why is it so hard to connect our code to an LLM? Right now, the ecosystem is fragmenting. Everyone is building custom MCP servers or manually writing massive JSON schemas just to let an AI call a simple Python function. In this post, I'll introduce apcore, a new framework designed to solve the root cause of the "AI Integration" problem. The Problem: The "Documentation Gap" Traditional modules are built for code to call, not AI. AI Agents need Schema and Intent. When we manually map our functions to JSON schemas for OpenAI or Anthropic, we create a maintenance nightmare. The Solution: apcore apcore is a universal module development framework that enforces a "Schema-First" approach. Every module you build becomes inherently AI-Perceivable. It’s not just a wrapper—it's a complete protocol with identical SDKs in Python and TypeScript. [ Application Layer ] Django / Flask / NestJS / Tiptap ... | [ Core Layer ] apcore (Capability Regi