Start your journey into AI-assisted engineering by building an command-line agent from scratch. Learn key AI terminology, prompting strategies, how to manage the context window, and generating images with AI.
Discover how AI-assisted tools like Cursor and Claude code can boost your productivity. Whether you’re doing quick component refactors, generating a project plan, or running end-to-end tests in the background, leveraging these tools can help you get your job done faster.
The Model Context Protocol (MCP) standardizes how applications provide communicate with large language models (LLMs). Building an MCP server from scratch is a great way to understand the fundamentals, discover ways to integrate AI in common workflows, and future-proof your career.
Machine Learning is foundational to AI, and hands-on experience training your own model strengthens your understanding. TensorFlow.js makes it easy to train custom models with JavaScript, right in your browser.