Matt Pocock profile photo

AI educator

Matt Pocock

AI Hero

Practical developer-focused AI education across LLM fundamentals, AI SDK app development, MCP, Claude Code workflows, agent-ready codebases, evals, TDD, handoffs, and reusable skills such as /teach, /grill-me, /to-prd, /to-issues, /tdd, /triage, and /handoff.

Start with: Use LLM Fundamentals or the AI Engineer Roadmap if you need concepts, the Vercel AI SDK Tutorial or AI SDK v6 Crash Course if you want to build apps, and the AI Skills catalog if you want practical agent workflows like /teach, /grill-me, /tdd, and /triage.

Courses and tutorials

Workshop

AI SDK v6 Crash Course

Intermediate

You want a structured AI SDK v6 course that covers model choice, text and object generation, UI streams, agents, persistence, context engineering, evals, and advanced app patterns.

Free tutorial

LLM Fundamentals

Beginner

You need clear mental models for system prompts, tokens, context windows, tools, and agents before building or using AI systems seriously.

Free tutorial

The AI Engineer Roadmap

Beginner to intermediate

You want a guided path through core AI concepts, model selection, the AI engineering mindset, evals, and techniques for improving LLM-powered apps.

Free tutorial

Vercel AI SDK Tutorial

Beginner to intermediate

You want to build TypeScript LLM apps with Vercel's AI SDK, including streaming, structured outputs, model switching, embeddings, tool calls, and agents.

Free tutorial

Model Context Protocol Tutorial

Intermediate

You want to understand MCP and build TypeScript MCP servers over stdio or HTTP, connect Claude Code to tools, use MCP prompts, and package servers for distribution.

Guide / Claude skill

Learn Anything With My /teach Skill

Beginner to intermediate

You want Claude to act as a personalized teacher that creates a learning mission, finds resources, generates interactive lessons, quizzes you, and keeps progress records.

Free tutorials

AI Hero

Beginner to advanced

Use this when you want Matt Pocock's material for ai coding and related AI skills.

Skills

Notable work

  • AI Hero
  • AI SDK v6 Crash Course
  • LLM Fundamentals
  • AI Engineer Roadmap
  • Vercel AI SDK Tutorial
  • Model Context Protocol Tutorial
  • AI Coding Dictionary
  • AI Skills for Real Engineers
  • /teach skill
  • /grill-me
  • /grill-with-docs
  • /to-prd
  • /to-issues
  • /tdd
  • /triage
  • /handoff

Guides, skills, and tools from Matt Pocock

Skills catalog

AI Skills for Real Engineers

Intermediate

You want a reusable skill system for agentic coding, including /grill-me, /grill-with-docs, /to-prd, /to-issues, /tdd, /triage, /handoff, /prototype, and review workflows.

Dictionary

AI Coding Dictionary

Beginner to intermediate

You want plain-English definitions for agentic coding concepts such as context windows, tools, MCP, handoffs, skills, subagents, feedback loops, and agent-ready work.

Guide

5 Agent Skills I Use Every Day

Intermediate

You want a practical entry point into Matt's everyday agent skills and how they fit into real software work.

Guide

A Complete Guide To AGENTS.md

Intermediate

You want to write project instructions that help coding agents understand commands, conventions, architecture, and working boundaries.

Guide

How To Make Codebases AI Agents Love

Intermediate

You want to improve a codebase so AI agents can navigate it, run checks, make smaller changes, and recover from mistakes more reliably.

Guide / Claude skill

My Skill Makes Claude Code GREAT At TDD

Intermediate

You want an agent workflow that implements behavior with a red, green, refactor loop instead of jumping straight to broad code changes.

Learner questions

Who should learn from Matt Pocock?

Developers and self-directed learners building with AI coding agents should start here when they need ai coding, claude skills, agentic workflows, ai sdk, mcp, llm fundamentals, and personalized learning. The strongest fit is a learner who wants material in these formats: free tutorials, paid workshop, skills, dictionary, guides, posts, cohorts, community.

What should I do first?

Use LLM Fundamentals or the AI Engineer Roadmap if you need concepts, the Vercel AI SDK Tutorial or AI SDK v6 Crash Course if you want to build apps, and the AI Skills catalog if you want practical agent workflows like /teach, /grill-me, /tdd, and /triage. After that, open one related resource below and write down the exact workflow, concept, or implementation pattern you want to apply.

What problem does this help with?

Practical developer-focused AI education across LLM fundamentals, AI SDK app development, MCP, Claude Code workflows, agent-ready codebases, evals, TDD, handoffs, and reusable skills such as /teach, /grill-me, /to-prd, /to-issues, /tdd, /triage, and /handoff. Use this profile when you are comparing educators by topic, level, format, and practical usefulness rather than browsing random AI content.

How do I compare this with other educators?

Compare the skill coverage, the starting recommendation, the educator's own resources, and any videos when available. If you need ai coding, search the directory for that skill and shortlist three profiles before committing to a course, book, or playlist.

More related resources

Resource Kind Level Use when
AI Agents in LangGraph
DeepLearning.AI
Short course Intermediate You want a focused course on building stateful AI agents and agent workflows with LangGraph.
MCP: Build Rich-Context AI Apps with Anthropic
DeepLearning.AI
Short course Intermediate You want a hands-on MCP course for connecting tools, context, and Claude-powered apps.
Hugging Face MCP Course
Hugging Face
Free course Beginner to intermediate You want a free structured MCP path with concepts, assignments, SDKs, and a certificate route.
Building Coding Agents with Tool Execution
DeepLearning.AI
Short course Intermediate You want to understand how coding agents use tools, inspect code, run commands, and iterate on software tasks.
Claude Code: A Highly Agentic Coding Assistant
DeepLearning.AI
Short course Beginner to intermediate You want a structured Claude Code course before using it on a serious codebase.
Qwen Code September 3 weekly update
Qwen
Coding agent release notes Beginner to advanced You want Qwen's September 3, 2026 practical guide to its latest coding-agent workflows, including learning-oriented output styles, scheduled tasks, a browser terminal, safer workspace writes, skills, MCP stability, and current vision-model support.
Anthropic Model Hardware Standard preview
Anthropic
Agent interoperability standard Intermediate to advanced You want Anthropic's August 27, 2026 research preview of a model-agnostic standard for connecting agents to lab and manufacturing hardware through programmable interfaces and protocols such as MCP, with safety evaluation built into the rollout.
Automation's Early Footprint
Cohere
Open research and dataset Intermediate You want an evidence-based map of what public agent tools actually automate, built from Cohere's September 3, 2026 open Agentic Task Ecosystem dataset of roughly 696,000 tools across 123,000 MCP servers.
OpenAI Tool search
OpenAI
Guide Intermediate to advanced Your agent has a large function, namespace, or MCP catalog and you want GPT-5.4 or later models to load only the tool definitions needed at runtime, reducing context use while preserving prompt-cache efficiency.
Automating repetitive work at OpenAI with Codex
OpenAI
Practical guide Intermediate You want an August 25, 2026 field guide to capturing recurring engineering and evaluation work in reviewable notebooks, keeping approval boundaries explicit, and feeding lessons from earlier agent runs into the next run.
How to Choose the Best AI Model (Live, in Your Editor)
OpenRouter
Model selection guide Intermediate You want a practical six-step workflow for shortlisting models from live data, testing them on your own prompts, measuring cost per completed task, and choosing or routing from inside a coding assistant.
Codex for Builders
OpenAI
Official training Intermediate You want OpenAI's practical Codex overview for real development workflows, including the CLI, IDE, GitHub, GPT-5-Codex, MCP, and code-review patterns.