Hey Product Hunt! 👋 I'm thrilled to share **Katichai** with you today. As a CTO and architect, I've watched AI code generation tools transform how we build software. But here's the reality: they're creating a new class of technical debt. I kept seeing the same patterns—duplicate logic that should reuse existing functions, unnecessary abstraction layers, and code that drifts from our architectural patterns. Traditional linters catch syntax errors, but they can't see the bigger picture. That's why I built Katichai. It's a context-aware code review tool that understands your entire codebase, not just the diff. It uses semantic embeddings to find duplicate logic even when implementations differ, enforces framework-specific patterns (Spring, Next.js, FastAPI, Gin), and flags AI-generated boilerplate before it becomes technical debt. The approach evolved from simple static analysis to a hybrid system combining AST parsing, vector embeddings, and intelligent LLM classification. You can use your own OpenAI or Anthropic keys, or run it completely locally with Ollama—your code never leaves your machine. The impact? Teams catch architectural violations early, reduce duplication by 30-40%, and maintain consistency even as AI-generated code becomes the norm. It's like having a senior engineer review every PR, but at the speed of automation. I'd love for you to try it and share your feedback. This is just the beginning, and your input will shape where we take it next. Let's build better code together! 🚀

Katich AI

Context-aware AI code review tool

Context-aware AI code review tool