Building AI Agents with TypeScript and JavaScript

AI agents are transforming software development by moving beyond simple chatbots to autonomous systems that can plan, use tools, and make decisions. This text-based guide shows you how to build these intelligent systems from scratch using the web's most popular programming languages. By following along with our structured written lessons, you will transition from writing basic scripts to engineering robust, self-directing AI agents. You will understand how to connect large language models to external data sources and APIs, enabling them to execute complex workflows independently. What you'll learn: Understand the core architecture of autonomous AI agents and how they differ from traditional software; Implement foundational prompt engineering patterns and structured JSON outputs using TypeScript; Connect agents to external APIs and tools to allow them to take real-world actions; Integrate vector databases and retrieval-augmented generation (RAG) to give your agents long-term memory; Design robust error-handling and decision-making loops to handle unpredictable LLM responses. The course begins with essential AI agent terminology, foundational concepts, and environment setup. You will then progress through structured text lessons and code snippets that guide you through agent loops, tool integration, memory management, and deploying production-ready TypeScript workflows. This course is designed for JavaScript and TypeScript developers who want to enter the generative AI space. No prior machine learning or AI experience is required, though a basic familiarity with coding in JavaScript or TypeScript is recommended. Start reading today to build the next generation of intelligent, agentic software.