Build Autonomous Agents

The complete engineering handbook for building production-grade AI systems. From RAG pipelines to Multi-Agent swarms — written by Vivek, AI engineer with 4+ years building LLM applications.

What is OpnCrafter?

OpnCrafter is a free technical learning platform built by Vivek, a software engineer who has spent the last 4+ years building real-world AI systems — from lightweight RAG APIs to production multi-agent pipelines. The site exists for one reason: when I started learning AI engineering, I couldn't find guides that went deep enough. Most tutorials show you how to run a "Hello World" with the OpenAI API and call it a day. OpnCrafter fills the gap with end-to-end, production-focused content.

Every guide on this site covers a real technology I have personally worked with — whether that's deploying a LangGraph agent to AWS ECS, building a generative UI dashboard with Vercel AI SDK, or benchmarking vector databases for a production RAG system. You'll find working code, architecture diagrams, comparison tables, and the kind of specific advice that only comes from doing the thing yourself.

Who Is This For?

OpnCrafter is built for developers who already know how to code and want to get serious about AI engineering. Whether you're a backend developer who just got assigned an "AI feature" at work, a solo builder launching an AI SaaS, or a machine learning engineer who wants to understand production deployment — there's a track here for you.

• Backend developers — learn the OpenAI Assistants API, function calling, and how to deploy agents to AWS ECS
• Frontend engineers — understand Generative UI, streaming React Server Components, and the Vercel AI SDK
• ML engineers — go deep on fine-tuning, quantization, LLMOps, and AI observability
• Indie builders — learn how to price AI SaaS products, integrate Stripe, and avoid getting bankrupted by token costs

What Will You Learn?

The curriculum spans 17 topic tracks and 122 guides. You can follow a structured path or jump directly to the guide you need:

• Foundations — how LLMs work, prompt engineering, context management, and the basics of the OpenAI API
• Agent frameworks — LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, and PydanticAI compared side-by-side
• RAG pipelines — vector databases, chunking strategies, hybrid search, semantic caching, and RAG evaluation
• Generative UI (10-part course) — the only free course that teaches you to build AI-native React interfaces with streaming and RSC
• Production & deployment — Dockerizing agents, serverless deployment, AWS ECS, LLMOps, and AI observability
• AI security — prompt injection, OWASP LLM Top 10, PII redaction, and red teaming your own models