Matt Pocock

@mattpocockuk • 311,838 subscribers

I teach devs for a living. Author of Total TypeScript and AI Hero. Ex-@vercel. Used to be a voice coach.

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Live Cam

Matt Pocock

Shorts

Feels like you could start being productive in Effect | TypeScript for the AI Era with only 10-15 functions, but I have no idea yet which of the 500 or so of them I should choose. Still, my investigations continue.

I was today years old when I learned you can do CMD-SHIFT-L to select all occurrences of a piece of text in VSCode. How many hours have I wasted repeatedly hitting CMD-D 😬

gql.tada is just nuts. Instant type inference from graphql strings. It's like tRPC for GraphQL.

Videos

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/grill-me and /grill-with-docs are changing No more "one question at a time" - now it asks questions in rounds Faster, less token spend, but still keeps dependencies between questions clear. Shipping in v1.2

My skills repo has 160K stars, 7.5m downloads... ...and no tutorial. So, here it is. Watch me walk through the essential skills: - /grill-with-docs - /to-spec - /to-tickets - /implement - /code-review It's the whole flow, end-to-end. Enjoy:

I poured my 10 years of teaching experience into a skill. It's called /teach, and it can teach you anything. Here's how it taught me to solve a Rubik's cube:

/grill-me is my most popular skill ever. I get 5-10 messages a day about how it’s changed people’s workflows for the better But… I’ve stopped using it for code. Here’s the improved version:

I built my own software factory, and I open-sourced it. It's called Sandcastle. Here's how to use it:

Anthropic has given us a "dedicated monthly credit" Which, in effect, slashes AFK usage limits of Claude Code by ~5-20X Here's how it affects you:

Yesterday, I shipped v1 of mattpocock/skills, including: - /ask-matt: ask me how best to use the skills, from right in your agent - Model-invoked vs User-invoked skills - /writing-great-skills, which encodes my skill-writing best practices Enjoy:

My Ralph Wiggum breakdown went viral. It's a keep-it-simple-stupid approach to AI coding that lets you ship while you sleep. So here's a full explanation, example code, and demo.

For weeks, folks have been asking me to make a video building a feature with Claude Code in a real codebase So here you go: - From idea to AFK agent to QA - Every single step explained - No slop allowed

Cursor shipped a /thermo-nuclear-code-review for the TOUGHEST AI code review possible. But is it any good? Let's dive in:

Here's my AI coding workflow and all the skills I'm using: Idea -&gt; /write-a-prd -&gt; PRD PRD -&gt; /prd-to-issues -&gt; Kanban Board Kanban -&gt; ralph​.sh -&gt; Ralph Loop Ralph Loop -&gt; Manual QA Links below to skills

Two new skills this week! - /handoff compacts your current session to a markdown file - /prototype helps you prototype anything - UI or backend And a bunch more updates. Here's the changelog:

My 'grill-me' skill went viral. mattpocock/skills is up to 9K stars. Quote tweets of it are doing numbers. It's the most useful skill I've written, and I use it even outside of coding:

Never run claude /init It'll burn tokens, go out of date in days, and bloat your system prompt. Here's why:

You asked for it, so here it is: a deep-dive on my new /handoff skill. It's an alternative to /compact that gives you WAY more flexibility with your context window. - Think of an idea, handoff to another agent to implement - Grill, handoff to prototype, handoff BACK Enjoy:

claude --worktree is so good I'm making it my new default. Don't know why you should care? Couldn't follow the Anthropic announcement? (way too technical IMO) Here's a demo:

Folks say that the stuff you learn from the /teach skill doesn't stick. "Did AI really teach you how to solve a Rubik's cube?" Yes. Here's the proof: (don't expect any great speed, but I can do it)

Frontend is WAY harder for AI than backend. That's because it's flying blind. It can't test the code in the environment where it's running - the browser. Here's how to hook up AI to your browser:

Things people get wrong with my grill-* skills: - Being too passive - Not grilling in parallel - Not prototyping - Going into the dumb zone - Grilling too hard - Grilling too large a topic - Using too dumb a model - Clearing the context too soon Here's the breakdown:

Here's my AI coding workflow and all the skills I'm using: Idea -> /write-a-prd -> PRD PRD -> /prd-to-issues -> Kanban Board Kanban -> ralph.sh -> Ralph Loop Ralph Loop -> Manual QA Links below to skills