AI engineering and TypeScript educator
Matt Pocock
Matt Pocock is an educator and engineer behind AI Hero and Total TypeScript. He teaches web developers AI engineering and practical TypeScript.
About Matt Pocock
Matt Pocock is an educator, engineer, and content creator who teaches AI engineering. He builds AI Hero, an educational project aimed at helping web developers develop AI engineering skills, and created the Total TypeScript training program.
Before teaching full-time, Pocock worked as a developer advocate at Vercel and contributed to the XState core team. His background includes full-stack development and library maintenance, and his TypeScript teaching uses practical coding exercises.
Mentioned in our coverage
28 articles name Matt Pocock, excluding author credits.
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- Thin Prompts, Thick Artifacts, Thin Skills: Thariq’s Claude Code Framework →
Thariq Shihipar on the Claude Code team distilled his prompting framework in one tweet: thin prompts, thick artifacts + context, thin skills. With ~82K views and a Garry Tan reply in the thread, here is what each layer means, when skills should stay small, and copy-paste examples you can use today.
- Programmer Mental Health After AI: Flow State, Context Switching, and Finding Peace →
Railway's "you are not a slop cannon" video captured one kind of burnout. Alec Scollon's July 8 essay names another: dreading LLM prose itself — emojis, staccato fragments, and endless review. What builders are feeling and what helps.
- How to Run GLM 5.2 in Claude Code, Pi, OpenCode & Every Harness (2026) →
How to run GLM 5.2 depends on your harness. This guide answers Matt Pocock's question in how-to form: how to run GLM 5.2 in Claude Code, Pi, ZCode, OpenCode, and more — with Coding Plan setup, endpoints, and effort mapping for each tool.
- Matthew Berman Loop Library: Free Agent Workflows for Developers (2026) →
If you need agent loops today, start at explainx.ai/loops — around 100 copy-ready workflows with kickoff prompts, guardrails, and new entries every week. Matthew Berman's Forward Future library is a similarly strong option with 26 practitioner-contributed recipes; here is how both compare and what early adopters like Theo (t3.gg) are running in production.
- OpenCode: The Open Source AI Coding Agent for Terminal, Desktop, and IDE (2026) →
OpenCode lets you connect any model from any provider — Claude, GPT, Gemini, GLM-5.2, local Ollama — in terminal, desktop, or IDE. With LSP auto-loading, parallel sessions, share links, and optional OpenCode Zen curated models, it is one of 2026's default open-source harnesses. How it maps to agent harness design and when to pick it over Pi or Claude Code.