Curated guides, tutorials, and industry insights for AI engineers building with MCP, RAG, LangGraph, CrewAI, and beyond.
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| Topic | Description |
|---|---|
| RAG | Retrieval-Augmented Generation patterns, vector DBs, production tips |
| MCP | Model Context Protocol servers, integrations, best practices |
| LangGraph | Agent orchestration, state management, workflows |
| CrewAI | Multi-agent systems, role-based agents |
| Claude Code | AI-assisted development, agentic coding |
| Industry Insights | Engineering practices, platform comparisons, ecosystem trends |
| Interview Prep | Real questions, experiences, career guidance |
📚 Resource Collections
Deep dives into platforms, tools, and methodologies:
| Resource | What It Covers |
|---|---|
| Google’s Engineering Practices | Code review at scale, team velocity, mentoring through review |
| Oracle AI Developer Hub | Converged AI database, agent memory, production RAG |
| Production RAG Series | Building RAG systems that work in production |
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