TYPESCRIPT

Modern browser automation from Microsoft. Auto-wait, role-based selectors, cross-browser, fast in CI.

Type-safe SQL builder and ORM for TypeScript. Zero runtime overhead, honest schema migrations, bring-your-own-DB.

Billing infrastructure for SaaS. Pricing tables, credit-based metering, checkout, and customer portal - all in TypeScript.

Production-tested patterns for orchestrating AI agent teams - from fan-out parallelism to hierarchical delegation. Covers CrewAI, LangGraph, AutoGen, OpenAI Agents SDK, Google ADK, and custom approaches with real code.

AI agents that reflect on failures, accumulate skills, and get better with every session. Reflection patterns, memory architectures, skill extraction, and working code examples for building agents that actually learn.

Structured data extraction from any LLM using Pydantic models. Automatic retries, validation, and streaming. 3M+ monthly downloads. Available in Python, TypeScript, Go, Ruby, and Rust.

Step-by-step guide to building an MCP server in TypeScript - from project setup to tool definitions, resource handling, testing, and deployment.

Agents forget everything between sessions. Here are the patterns that fix that: CLAUDE.md persistence, RAG retrieval, context compression, and conversation summarization.

How to go from idea to deployed SaaS product using Claude Code as your primary development tool. Project setup, feature building, deployment, and iteration.

Convex and Supabase both work for AI-powered apps. Here is when to use each, based on building production apps with both.

AI agents fail in ways traditional debugging cannot catch. Here are the tools and patterns for finding and fixing broken agent loops, tool failures, and context issues.

MCP servers and function calling both let AI tools interact with external systems. They solve different problems. Here is when to reach for each.

The TypeScript patterns that show up in every AI project. Streaming responses, type-safe tool definitions, structured output, retry logic, and more.

A practical comparison of the five major AI agent frameworks in 2026 - architecture, code examples, and a decision matrix to help you pick the right one.

A practical guide to using Claude Code in Next.js projects. CLAUDE.md config for App Router, common workflows, sub-agents, MCP servers, and TypeScript tips that actually save time.

Everything you need to know about Model Context Protocol - how it works, how to install servers, how to build your own, and the best ones.

A step-by-step guide to building AI agents that actually work. Choose a framework, define tools, wire up the loop, and ship something real.

A step-by-step guide to building Model Context Protocol servers in TypeScript. Project setup, tool registration, resources, testing with Claude Code, and production patterns.

Transformers.js lets you run machine learning models in the browser with zero backend. Here is how to use it for text generation, speech recognition, image classification, and semantic search.

AI agents use LLMs to complete multi-step tasks autonomously. Here is how they work and how to build them in TypeScript.