Blog/Learning AI

Learning AI

Browse 22 articles in learning ai.

Learning AI Articles

22 articles · Page 2 of 2

Watercolor illustration of developers at a cafe terrace with MCP plug-and-socket diagram on whiteboard — Sage & Olive style

Part 3: MCP Servers vs. Connectors vs. Apps

All Claude Apps are Connectors. All Connectors are MCP Servers. Understanding this hierarchy — and when to build vs. use managed integrations — saves weeks of unnecessary engineering.

Watercolor illustration of developers at a cafe terrace with rocket deployment diagram on screen — Dusty Blue style

Learning AI·20 min read

Part 4: All 7 Extension Points in One Production Codebase

50+ skills, multiple MCP servers, scoped rules, safety hooks — here's how all 7 Claude extension points compose in a real NestJS monorepo with 17 projects. What works, what fights, and what we'd do differently.

AI agent memory architecture with semantic search vectors

Learning AI·20 min read read

Build your own AI agent memory system — what breaks when real users show up?

Build a complete memory system for customer-facing AI agents — session context, persistent recall, semantic search. Then learn what breaks when real customers start returning.

Developer building AI agent tools at a whiteboard

Learning AI·20 min read read

Build your own AI agent tool system — what breaks when you add the 20th tool?

Build a complete tool system for customer-facing AI agents from scratch — registry, execution, auth, monitoring. Then learn what breaks when real customers start calling.

Team of developers collaborating on multi-agent AI architecture

Learning AI·20 min read

Multi-Agent AI Systems: Build an Agent Orchestrator Without a Framework

Build a multi-agent system from scratch — delegation, planning loops, and inter-agent communication — before reaching for LangGraph or CrewAI.

Engineer debugging a real-time streaming architecture on a monitor

Learning AI·20 min read

Streaming AI Responses: SSE, WebSockets, and the Architecture Behind ChatGPT's Typing Effect

Build three streaming implementations from scratch — SSE, WebSocket, and HTTP/2 — and learn why token-by-token rendering is harder than it looks.

Illustration of two people reviewing an improvement chart together at a standing desk

Learning AI·20 min read

How to Evaluate AI Agents: Build an Eval Framework from Scratch

Build a working AI agent eval framework in TypeScript and Python. Covers LLM-as-judge, rubric scoring, regression testing, and CI integration.

Illustration of a diverse team collaborating around a whiteboard with code diagrams

Learning AI·20 min read

MCP Explained: Build Your First MCP Server in TypeScript and Python

Build a working MCP server from scratch in TypeScript and Python. Hands-on tutorial covering tools, resources, transports, and testing.

Illustration of a person writing thoughtfully at a desk with sticky notes and a warm lamp

Learning AI·25 min read

Prompt Engineering from First Principles: 12 Techniques Every AI Developer Needs

Master 12 essential prompt engineering techniques with real TypeScript examples. From zero-shot to ReAct, build better AI agents from first principles.

Illustration of a person organizing knowledge on a corkboard with connected notes

Learning AI·18 min read

RAG from Scratch: Build a Retrieval-Augmented Generation Pipeline

Build a working RAG pipeline from scratch in TypeScript and Python. Covers embeddings, chunking, vector search, and generation with real, runnable code.

1 2

Learn Agentic AI

One lesson a week — practical techniques for building, testing, and shipping AI agents. From prompt engineering to production monitoring. Learn by doing.

500+ engineers subscribed