This is the complete 41-tool list for 2026. I spent a year testing this setup for real-world AI apps. We cover everything ➡️ core infrastructure (Postgres), AI agents (Pydantic AI), RAG (Docling), web automation (Browserbase), full-stack (React), and deployment (Render). Get the full A-Z list. 🚀

We'll talk about:

• Part 1: Core Infrastructure: The 4 foundation tools (Database, Caching, AI Coder, Prototyping) for any project.
• Part 2: AI Agent Core: How to build agents (Pydantic AI), connect them (LangGraph), and watch them (Langfuse).
• Part 3: RAG Agents: The full toolkit for RAG, from extracting data (Docling) to vector search (pgvector) and memory (Mem0).
• Part 4: Web Automation: Tools that let your agents control a browser (Playwright) and understand websites (Browserbase).
• Part 5: Full-Stack Development: The stack to build a real app around your AI, including API (FastAPI) and frontend (React).
• Part 6: Deployment & Infrastructure: How to get your app online, from simple (Render) to enterprise (GCP) and containers (Docker).
• Part 7: Local & Self-Hosted: How to run everything yourself for privacy and testing (Ollama, Open WebUI).

Keywords: AI Tech Stack, AI-First Development, Pydantic AI, LangGraph, Arcade, Langfuse, Docling.

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