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Matt Pocock (TypeScript wizard, ex-Vercel): "Opus 5 got addicted to writing tests that just repeat the code back to itself." in a 22-min talk at AI Engineer Paris, Matt walks through how to stop AI PRs from turning your repo into a slop cannon: 5:30 → the tests AI... writes that pass forever and catch nothing 8:31 → deep modules: how codebase design makes those tests impossible 11:41 → why coding standards belong in a separate review agent, not your implementer 15:34 → your AI reviewer shouldn't comment. it should commit the fixes 17:20 → one-way vs two-way doors: which PRs a human actually needs to review 20:38 → retro skill: turn every review comment into a check so you never write it twice how to build agents that learn by watching you work – pinned article↓show more

Shoopy

1,427 subscribers

174,215 Aufrufe • vor 18 Tagen •via X (Twitter)

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35 Kommentare

Profilbild von Squizer

Squizervor 18 Tagen

the reviewer-should-commit-not-comment point is underrated. most AI review setups still route fixes back through a human typing the same patch by hand, which defeats half the point of having a reviewer agent

Profilbild von Shoopy

Shoopyvor 18 Tagen

spot on, reviewer that comments instead of committing just creates more work

Profilbild von Anders Abjorn | sales → AI

Anders Abjorn | sales → AIvor 18 Tagen

Tests that echo the code are a quiet fail. I ask for a case that would break if the function lied. Mirror tests feel green and teach nothing.

Profilbild von Shoopy

Shoopyvor 18 Tagen

"mirror tests feel green and teach nothing" is a great way to put it

Profilbild von Anders Abjorn | sales → AI

Anders Abjorn | sales → AIvor 18 Tagen

Yeah, I believe so. 😊

Profilbild von Daniel Nim

Daniel Nimvor 18 Tagen

The idea of making the reviewer fix things instead of just leaving comments is huge!

Profilbild von Shoopy

Shoopyvor 18 Tagen

right? half my review time used to be reading bot comments i then fixed myself

Profilbild von half_cto

half_ctovor 18 Tagen

I wonder what has he built? Ohh right he's just talking, thats enough.

Profilbild von Shoopy

Shoopyvor 18 Tagen

fair to judge the ideas, not the guy. the reviewer-commits-fixes part works regardless of who said it

Profilbild von half_cto

half_ctovor 18 Tagen

yeah you are right, i'm just puzzled what have people been doing if this is something new? I get dude is "announcing skills" for "real engineers" though is he one? If i would like to be influencer there is a lot to learn from him, can't deny that.

Profilbild von Shoopy

Shoopyvor 17 Tagen

full 3-layer system in one image ↓

Profilbild von Alexey Samoylov

Alexey Samoylovvor 18 Tagen

That guy has a slop skill set and nothing more. He knows very little about the AI pull request review.

Profilbild von Shoopy

Shoopyvor 18 Tagen

what would you do differently? genuinely curious what's working for you on AI PR review

Profilbild von Alexey Samoylov

Alexey Samoylovvor 18 Tagen

I got my own AI review solution with the "bring your own agent" approach. It writes summaries and comments, performs issues classification, does the PR gating on the github/azure/gitlab.

Profilbild von Abdul Ahad

Abdul Ahadvor 18 Tagen

@grok from this video explain step by step the whole process so i can replicate it

Profilbild von Crio Songo

Crio Songovor 18 Tagen

These points hit exactly the pain points of current AI coding. I'm gonna go watch this full talk right now.

Profilbild von Shoopy

Shoopyvor 18 Tagen

the part at 15:34 is the one to steal first, reviewer commits instead of commenting

Profilbild von Akos

Akosvor 18 Tagen

this was happening with older models too - 4.8. we also figured out what was the problem and created domain specific review agents which fixed the entire set of the problems!

Profilbild von Shoopy

Shoopyvor 18 Tagen

domain-specific reviewers is the move. how many did you end up with, one per area of the codebase?

Profilbild von chuplung

chuplungvor 18 Tagen

this talk is way more useful than most ai coding advice

Profilbild von Shoopy

Shoopyvor 18 Tagen

glad it landed, practical > theoretical every time

Profilbild von ࣪˖ sofi z,

࣪˖ sofi z,vor 18 Tagen

Couldn't agree more

Profilbild von Shoopy

Shoopyvor 18 Tagen

thanks

Profilbild von soooz

sooozvor 18 Tagen

5 is the slide number. The permission story is still the footnote.

Profilbild von Shoopy

Shoopyvor 18 Tagen

true, permissions get the headlines but the tests are the silent risk

Profilbild von qwinsi

qwinsivor 18 Tagen

Thx for sharing this broski, saved

Profilbild von Shoopy

Shoopyvor 18 Tagen

appreciate it

Profilbild von CryptoNinjas

CryptoNinjasvor 18 Tagen

Watching that exact part now and circular test generation is way too common lately.

Profilbild von Shoopy

Shoopyvor 18 Tagen

circular tests are everywhere now. green CI, zero coverage of what the code actually does

Profilbild von GratefulPle₿ 🏴‍☠️⚡️

GratefulPle₿ 🏴‍☠️⚡️vor 18 Tagen

Ex vercel? Wasn’t it ex-voice coach now building hobby apps with ai?

Profilbild von Shoopy

Shoopyvor 18 Tagen

both actually. voice coach before he got into typescript, then vercel. the talk still slaps either way

Profilbild von Konrad

Konradvor 18 Tagen

what happend to him

Profilbild von Shoopy

Shoopyvor 18 Tagen

reviewed one too many AI PRs lol

Profilbild von Alex Martossy

Alex Martossyvor 17 Tagen

Saying Matt is ex-Vercel is like how Lex Fridman is ex-MIT.

Profilbild von Gaetan Semet

Gaetan Semetvor 18 Tagen

Thanks @mattpocockuk for this good video. Couple remarks: - "coding standards belong in a separate review agent" => yes, this confirms recent changes in all major "SDD" frameworks, converging to way I called "The Canonical Implementation Loop". You have a Coder agent and a Reviewer Agent. - "AI reviewer shouldn't comment. it should commit the fixes" => ok for the review once the PR is created, but I won't say that for the in-loop reviewer (I called "Task Inspector"). If you start an implementation loop in the reviewer, it can starts drifting from its goal of findings all the missed acceptance criteria and do it properly. It can "try" to do the fix if it is very small issue, to avoid restarting a new coder to fix the issue, but things like incomplete feature, it should sent the task back to the coder agent.

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"The one thing that's going to be truly future proof is judgment. What is the biggest challenge when you have a thousand AI engineers writing code? AI slop. In an era when you can do everything, the question is which of these things matter. On the engineer side, it is evaluating the code. Which of this code is even valuable? You can have AI engineers writing beautiful code that could be wrong, that could have bugs in it, that could be vulnerable. Someone needs to review it. Make sure to have a human review at some point, especially critical code that is in the core of your system. On the product side is judgment around what needs to be built and evaluating. And similarly in design, you have to have judgment around, does it make sense in the broader design system. I think this judgment is the number one thing that humans are going to bring in an era of infinite productivity."

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24,818 Aufrufe • vor 8 Monaten

ANTHROPIC LEAKED 6 RULES THAT RUN 8 LOOPS AT ONCE - AND ONE ENGINEER DOES THE WORK OF A TEAM one engineer with this system replaces an entire team - and costs the company 8 times less You → Opus 5 plan → Fable 5 ×8 execute → Fable 5 review → you: 5 min Opus 5 takes your intent and breaks it into subtasks - a bad plan multiplied across every loop gives the same number of disasters - the plan is the only thing you read carefully one repo - isolated worktrees for each loop - nobody stands on anyone's file - parallel PRs ship while you do nothing the agent runs the tests and fixes until green PR - a red build never reaches your eyes one CLAUDE.md for the whole fleet - without it you get different opinions from every loop and one merge hell the average engineer closes 3-4 tasks a day - this system closes a full sprint overnight with zero working hours Fable 5 pre-reviews every PR before it reaches you - you spend 5 minutes - your throughput is now measured in diffs read per hour bookmark and paste into Claude Code - your first fleet can start tonight

ANTHROPIC LEAKED 6 RULES THAT RUN 8 LOOPS AT ONCE - AND ONE ENGINEER DOES THE WORK OF A TEAM one engineer with this system replaces an entire team - and costs the company 8 times less You → Opus 5 plan → Fable 5 ×8 execute → Fable 5 review → you: 5 min Opus 5 takes your intent and breaks it into subtasks - a bad plan multiplied across every loop gives the same number of disasters - the plan is the only thing you read carefully one repo - isolated worktrees for each loop - nobody stands on anyone's file - parallel PRs ship while you do nothing the agent runs the tests and fixes until green PR - a red build never reaches your eyes one CLAUDE.md for the whole fleet - without it you get different opinions from every loop and one merge hell the average engineer closes 3-4 tasks a day - this system closes a full sprint overnight with zero working hours Fable 5 pre-reviews every PR before it reaches you - you spend 5 minutes - your throughput is now measured in diffs read per hour bookmark and paste into Claude Code - your first fleet can start tonight

Sprytix

37,904 Aufrufe • vor 2 Monaten

My friend makes $850,000/year as an Anthropic AI engineer. No MIT. No Stanford. No PhD. I asked him how he broke into AI from scratch. He sent me a course that was never supposed to get out. A developer teaching to build self-improving AI agents from scratch. You will learn exactly how AI agents like Claude Code and OpenClaw are actually built. You won't find anything better about becoming an AI engineer in 2026 than this video. I watched it last night. Halfway through, I realized I could land a role at a top AI lab in months, not years. Bookmark this and read the article below.

My friend makes $850,000/year as an Anthropic AI engineer. No MIT. No Stanford. No PhD. I asked him how he broke into AI from scratch. He sent me a course that was never supposed to get out. A developer teaching to build self-improving AI agents from scratch. You will learn exactly how AI agents like Claude Code and OpenClaw are actually built. You won't find anything better about becoming an AI engineer in 2026 than this video. I watched it last night. Halfway through, I realized I could land a role at a top AI lab in months, not years. Bookmark this and read the article below.

Roan

70,905 Aufrufe • vor 3 Monaten

My friend applied to 200 tech jobs in two years. No MIT. No Stanford. Last month SpaceXAI offered him $750,000. I asked him how he broke in from zero. He sent me the exact video that got him in. A 1 hour course on "Complete AI Engineering in 2026". Matt Pocock shows you how to architect & build AI agents like Grok Bot from scratch. The exact AI-assisted coding workflow that lets agents ship code while you sleep. I watched it last night. Halfway through, I realized I could break into an AI lab in days, not years. Bookmark this and read the article below.

My friend applied to 200 tech jobs in two years. No MIT. No Stanford. Last month SpaceXAI offered him $750,000. I asked him how he broke in from zero. He sent me the exact video that got him in. A 1 hour course on "Complete AI Engineering in 2026". Matt Pocock shows you how to architect & build AI agents like Grok Bot from scratch. The exact AI-assisted coding workflow that lets agents ship code while you sleep. I watched it last night. Halfway through, I realized I could break into an AI lab in days, not years. Bookmark this and read the article below.

Roan

36,220 Aufrufe • vor 1 Monat

Obsidian CEO actually released the skill that lets your AI agent run your entire vault for you. It's called obsidian-skills. Install it into Claude Code, Codex, or OpenCode, and your agent can read, create, search, and organize notes directly, plus handle Markdown, Bases, and Canvas files without you touching a thing. This is the missing piece for an AI second brain. Your notes live in Obsidian, and now the agent actually knows how to work them. Want the full picture? We broke down how to build a complete AI second brain from scratch in the article below.

Obsidian CEO actually released the skill that lets your AI agent run your entire vault for you. It's called obsidian-skills. Install it into Claude Code, Codex, or OpenCode, and your agent can read, create, search, and organize notes directly, plus handle Markdown, Bases, and Canvas files without you touching a thing. This is the missing piece for an AI second brain. Your notes live in Obsidian, and now the agent actually knows how to work them. Want the full picture? We broke down how to build a complete AI second brain from scratch in the article below.

Simplifying AI

68,025 Aufrufe • vor 2 Monaten

AI isn't just changing the tools designers use. It's changing how they build, ship, and stand out. In this episode of Design Review, Stephen Haney, founder of AI-native design tool Paper, joins YC's Aaron Epstein to demo the agent-first workflow that's making Paper one of the fastest-growing design tools since Figma. Using live redesigns of user-submitted websites as examples, they break down the most common AI design tells, show how to fix them in seconds, and explain why the biggest risk for founders isn't moving too slow, it's shipping something that looks like everyone else. 01:04 - What is Paper and why build it? 03:17 - What makes Paper agent-native 05:11 - Demo: Shaders, image generation, and brand design 11:32 - Design-to-code and the new agent stack 16:48 - Design Review: Legion Health 24:11 - How to avoid AI design slop 28:26 - Design Review: Sytex 32:42 - The biggest tells of AI-generated design 37:39 - Design Review: Moreta 41:11 - Can AI learn taste? 43:56 - How Paper uses agents internally 46:52 - Building a community around Paper 49:15 - Lessons from Steven’s first startup 53:30 - What’s next for design and Paper

Y Combinator

119,049 Aufrufe • vor 2 Monaten