How to Use Task Master AI (Real-World Tutorial)

Description

What if your AI coding assistant wasn't just a pair programmer, but a full-on project manager? In this video, I take a deep dive into Task Master AI, a powerful tool for AI project management that aims to solve one of the biggest problems in AI development: context decay. Unlike other tools, Task Master uses a Model Control Protocol (MCP) server to manage your project's state. This means the AI can query for specific tasks without flooding its context window, allowing it to maintain focus and "remember" the entire plan. I put it to the test on a real-world project: migrating my 500+ article Astro blog from MDX files to Astro DB. Join me as I go through the full workflow: - Installation & Setup - Parsing a Product Requirements Document (PRD) - The core expand (for task breakdown), next, and update commands - A major debugging "hiccup" that almost stopped the project - My professional takeaways on this powerful methodology Is Task Master the AI project manager you've been missing? Let's find out. Task Master on GitHub: https://github.com/eyaltoledano/claude-task-master *Timecodes (Chapters)* 00:00 - Intro 01:03 - Project Overview 01:57 - Installation & Setup 03:04 - Parsing the PRD 03:45 - How Task Master Works (MCP) 04:51 - The Core Workflow 06:15 - My Real-World Experience 08:08 - Hiccup 1: The .env File Mystery 08:31 - Hiccup 2: The Missing CLI 08:36 - Purr-fessional Takeaways 10:01 - Outro Don't forget to like, subscribe, and feed your cat!