🤖 AI & ML Platforms

March 21, 2026 · View on GitHub

Deep technical tutorials for AI agents, LLM frameworks, vibe-coding tools, and production AI infrastructure.

Snapshot (auto-updated)

  • repository-wide tutorials: 191
  • AI/agent + developer-tooling coverage: largest cluster in the catalog
  • canonical structure status: all tracks publish full chapter sets

Start Here by Goal

GoalRecommended Starting TutorialNext Tutorials
Build autonomous AI agentsLangChainLangGraph → CrewAI → Claude Flow → Devika → BabyAGI
Understand AI coding agentsClineRoo Code → OpenCode → Sweep → Tabby → Stagewise → OpenHands → Kiro
Autonomous AI software engineersOpenHandsDevika → SWE-agent → Mini SWE-agent → Aider
Task-driven autonomous agentsBabyAGIAutoGen → CrewAI → LangGraph
Build vibe-coding productsDyadbolt.diy → VibeSDK → HAPI → Kiro
Build Taskade AI / Genesis workflowsTaskadeTaskade Docs → Taskade MCP → Taskade Awesome Vibe Coding
Run spec-driven AI delivery workflowsOpenSpecClaude Task Master → Codex CLI
Build RAG systemsLlamaIndexHaystack → RAGFlow
Run LLMs in productionOllamavLLM → LiteLLM
Build MCP integrationsMCP Python SDKFastMCP → MCP Servers → MCP Quickstart Resources → Create Python Server → MCP Docs Repo → Create TypeScript Server → Awesome MCP Servers → Composio → Daytona → GenAI Toolbox → awslabs/mcp → MCP Inspector → MCP Registry → MCP Specification → MCP TypeScript SDK → MCP Go SDK → MCP Rust SDK → MCP Java SDK → MCP C# SDK → MCP Swift SDK → MCP Kotlin SDK → MCP Ruby SDK → MCP PHP SDK → MCP Ext Apps → MCPB → use-mcp → MCP Use → MCP Chrome → Firecrawl MCP Server

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