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Introducing: PlayerZero The world's first Engineering World Model that puts debugging, fixing, and testing your code on autopilot. We've raised $20M from Foundation Capital, Matei Zaharia (Databricks), Peter Bailis (Workday), Guillermo Rauch (Vercel), Dylan Field (Figma), Drew Houston (Dropbox), and more PlayerZero frees up 30% of your engineering bandwidth...

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Animesh Koratana

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2,762,917 Aufrufe • vor 7 Monaten •via X (Twitter)

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47 Kommentare

Profilbild von Animesh Koratana
Animesh Koratanavor 7 Monaten

We're also giving away a curated collection of 200+ Claude Code Skills our team uses daily — the workflows that made us faster engineers while building PlayerZero. Repost and comment "100X" to get access.

Profilbild von Animesh Koratana
Animesh Koratanavor 7 Monaten

It's state of the art. Across 26,400 real PRs, PlayerZero predicted bugs before code shipped to production 64% of the time. For comparison: → Claude Code: 11% → Cursor BugBot: 16% Its not an incremental improvement, its a new paradigm.

Profilbild von Animesh Koratana
Animesh Koratanavor 7 Monaten

For the last 7 years, I've been working on one question: can a machine truly understand software? Not just read or write it. But understand it like your best senior architect. Through my research at Stanford AI from '18–'21, deployment at OpenAI on GPT-2, and now through applied AI at PlayerZero. (the answer is yes)

Profilbild von Animesh Koratana
Animesh Koratanavor 7 Monaten

Book a demo today:

Profilbild von litquidity
litquidityvor 7 Monaten

@matei_zaharia @pbailis @rauchg @zoink @drewhouston Software engineers looking at AI do their job better than them

Profilbild von Abhishek Agarwal
Abhishek Agarwalvor 7 Monaten

@matei_zaharia @pbailis @rauchg @zoink @drewhouston I was discussing with our CTO why nobody has built this yet. We still take an embarrassingly long time to do RCAs. Congrats on the launch!

Profilbild von Animesh Koratana
Animesh Koratanavor 7 Monaten

@matei_zaharia @pbailis @rauchg @zoink @drewhouston Thanks Abhishek. About time, someone built it!

Profilbild von Avid
Avidvor 7 Monaten

@matei_zaharia @pbailis @rauchg @zoink @drewhouston this is so awesome. finally shipping fast and debugging faster will be the reality

Profilbild von Animesh Koratana
Animesh Koratanavor 7 Monaten

@matei_zaharia @pbailis @rauchg @zoink @drewhouston Love this!

Profilbild von Avid
Avidvor 7 Monaten

@matei_zaharia @pbailis @rauchg @zoink @drewhouston I appreciate it

Profilbild von Andrew Yeung
Andrew Yeungvor 7 Monaten

@matei_zaharia @pbailis @rauchg @zoink @drewhouston insane offer "If we can't increase your engineering bandwidth by at least 20% within one week, we'll donate $10,000 to an open-source project of your choice."

Profilbild von Anish Moonka
Anish Moonkavor 7 Monaten

@matei_zaharia @pbailis @rauchg @zoink @drewhouston been testing this for a few days and it genuinely caught stuff I would've shipped blind

Profilbild von Damian Player
Damian Playervor 7 Monaten

@matei_zaharia @pbailis @rauchg @zoink @drewhouston yuuuuuge! 30% of time back for engs is wild..

Profilbild von amrit
amritvor 7 Monaten

@matei_zaharia @pbailis @rauchg @zoink @drewhouston congrats on launch, v hard problem to solve

Profilbild von SumitM
SumitMvor 7 Monaten

@matei_zaharia @pbailis @rauchg @zoink @drewhouston This is interesting ... Debugging faster is great !! If it actually works at scale, this can save a lot of engineering time !!

Profilbild von Santiago
Santiagovor 7 Monaten

@matei_zaharia @pbailis @rauchg @zoink @drewhouston Congrats on the launch. Congrats on the rise!

Profilbild von Rohan Paul
Rohan Paulvor 7 Monaten

@matei_zaharia @pbailis @rauchg @zoink @drewhouston debugging is 70% of the bottleneck. If this works well, the value will be huge. Going to try it out now. Congrats on the launch.

Profilbild von AshutoshShrivastava
AshutoshShrivastavavor 7 Monaten

@matei_zaharia @pbailis @rauchg @zoink @drewhouston The gap has always been there. Most AI tools help you write code faster, but nothing serious handles what happens after it ships. Good to see that changing.

Profilbild von Chubby♨️
Chubby♨️vor 7 Monaten

@matei_zaharia @pbailis @rauchg @zoink @drewhouston very cool!

Profilbild von OneManSaas
OneManSaasvor 7 Monaten

@matei_zaharia @pbailis @rauchg @zoink @drewhouston How does PlayerZero handle debugging distributed systems where the issue spans multiple services? Traditional debugging tools fall apart when you're trying to trace problems across microservices - curious if your world model can actually connect those dots.

Profilbild von Nandkishor
Nandkishorvor 7 Monaten

Congratulations @akoratana on the launch. This is exactly what we’ve been looking for. As a DevOps engineer, it allows me to focus more on system design, reliability, and building scalable infrastructure rather than spending time debugging calls at 2 AM. It’s also going to help significantly in resolving issues faster when they occur next time.

Profilbild von Animesh Koratana
Animesh Koratanavor 7 Monaten

@matei_zaharia @pbailis @rauchg @zoink @drewhouston Thanks! That's the future we see for every builder in the world :)

Profilbild von Connor Heyward-Fox
Connor Heyward-Foxvor 7 Monaten

@matei_zaharia @pbailis @rauchg @zoink @drewhouston congrats on the launch - looks like a great solution! question: how does the context graph handle conflicting signals? when slack says one thing but CI history says another, does it surface both or pick a winner?

Profilbild von Animesh Koratana
Animesh Koratanavor 7 Monaten

@matei_zaharia @pbailis @rauchg @zoink @drewhouston Code is the source of truth, other sources can be context. Maybe your docs say it should operate one way, but if the code doesn't actually match the docs, you want your production engineer to go off of what's actually in prod.

Profilbild von Connor Heyward-Fox
Connor Heyward-Foxvor 7 Monaten

@matei_zaharia @pbailis @rauchg @zoink @drewhouston that makes sense. code as source of truth, everything else as context that might explain why the code is the way it is. clean hierarchy.

Profilbild von AndreWGMI
AndreWGMIvor 7 Monaten

@matei_zaharia @pbailis @rauchg @zoink @drewhouston 90% faster resolution is crazy, but does it actually learn org-specific context or is that just marketing speak?

Profilbild von Animesh Koratana
Animesh Koratanavor 7 Monaten

@matei_zaharia @pbailis @rauchg @zoink @drewhouston Yup. Org-specific, learns your own context from your own codebase

Profilbild von vas
vasvor 7 Monaten

@matei_zaharia @pbailis @rauchg @zoink @drewhouston Congrats on the launch!

Profilbild von Animesh Koratana
Animesh Koratanavor 7 Monaten

@matei_zaharia @pbailis @rauchg @zoink @drewhouston Thanks Vas!

Profilbild von Animesh Koratana
Animesh Koratanavor 7 Monaten

@pbailis @rauchg @zoink @drewhouston UPDATE: Too many of y’all wanted this and X won't let us DM fast enough! Here's the link, it's available for everyone now: 200+ Claude Code Skills for Developers ⬆️

Profilbild von PlayerZero
PlayerZerovor 7 Monaten

@matei_zaharia @pbailis @rauchg @zoink @drewhouston So excited to launch this into the world

Profilbild von Tech with Mak
Tech with Makvor 7 Monaten

@matei_zaharia @pbailis @rauchg @zoink @drewhouston This is huge! You only realize how big this problem is once things start breaking in prod 😅

Profilbild von Alvaro Cintas
Alvaro Cintasvor 7 Monaten

@matei_zaharia @pbailis @rauchg @zoink @drewhouston Big congrats on the launch!

Profilbild von Ram
Ramvor 7 Monaten

@matei_zaharia @pbailis @rauchg @zoink @drewhouston Thanks @akoratana and playerzero team. You solved one of the biggest pain point.

Profilbild von Shruti
Shrutivor 7 Monaten

@matei_zaharia @pbailis @rauchg @zoink @drewhouston Reducing resolution time by 90% is no small feat. Congrats on the raise.

Profilbild von Alexey Grigorev
Alexey Grigorevvor 7 Monaten

@matei_zaharia @pbailis @rauchg @zoink @drewhouston 100x Congratulations on the launch!

Profilbild von Animesh Koratana
Animesh Koratanavor 7 Monaten

@matei_zaharia @pbailis @rauchg @zoink @drewhouston Thanks Alexey.

Profilbild von Nandkishor
Nandkishorvor 7 Monaten

@matei_zaharia @pbailis @rauchg @zoink @drewhouston

Profilbild von Abraham Wolke
Abraham Wolkevor 7 Monaten

@matei_zaharia @pbailis @rauchg @zoink @drewhouston Hey, if you're reading this we built a public code graph API that anyone can build things like this on top of -> DM me and I'll set u up

Profilbild von Daniel Ch
Daniel Chvor 7 Monaten

@matei_zaharia @pbailis @rauchg @zoink @drewhouston Looks like a gamechanger!!

Profilbild von AI Panda
AI Pandavor 7 Monaten

@matei_zaharia @pbailis @rauchg @zoink @drewhouston Feels like a real shift toward actually understanding production systems.

Profilbild von Om
Omvor 7 Monaten

@matei_zaharia @pbailis @rauchg @zoink @drewhouston This is huge 🔥 Debugging now finally getting the upgrade it deserves. Excited to see this in action ..

Profilbild von Masters Mind
Masters Mindvor 7 Monaten

@powerbeastt @matei_zaharia @pbailis @rauchg @zoink @drewhouston PlayerZero isn’t just AI coding — it’s AI that understands your whole production system. Connects tickets, PRs, Slack threads, and CI/CD into one context graph. Cuts debugging time, predicts edge cases, and boosts engineering bandwidth. 🚀

Profilbild von pika capital
pika capitalvor 7 Monaten

@litcapital @matei_zaharia @pbailis @rauchg @zoink @drewhouston Let me know if you are still taking any Angel checks 👀👀👀

Profilbild von David Ch
David Chvor 7 Monaten

@matei_zaharia @pbailis @rauchg @zoink @drewhouston wow.. no way this doesn't go into the history books keeping an eye on this, congrats guys!

Profilbild von 𝗿𝗮𝗺𝗮𝗸𝗿𝘂𝘀𝗵𝗻𝗮— 𝗲/𝗮𝗰𝗰
𝗿𝗮𝗺𝗮𝗸𝗿𝘂𝘀𝗵𝗻𝗮— 𝗲/𝗮𝗰𝗰vor 7 Monaten

@matei_zaharia @pbailis @rauchg @zoink @drewhouston Debugging is the biggest issue in the agentic world. Game changer. Congrats to you & your teams for the launch.

Profilbild von Rez Karim
Rez Karimvor 7 Monaten

@matei_zaharia @pbailis @rauchg @zoink @drewhouston Congrats Animesh. PlayerZero just automated the one thing vibe coded apps especially need, testing and debugging all the AI generated code.

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AI is changing the software engineering craft. Anders Hejlsberg (Anders Hejlsberg) - creator of C#, TypeScript and industry legend - on why code review needs to get more enjoyable in response: #1 - AI is shifting the craft from writing code, to reviewing code: "In a sense, we're all turning into project managers. We can have an army of junior programmers, called agents, that will just spit out reams of code but someone's got to have the big picture and review all of that. And so, increasingly, our craft is going from one of writing the code, to one of reviewing the code and building the architecture of the code and overseeing the work. It's a different kind of craft. It's a different kind of enjoyment. I've always liked writing the code. To me that was the fulfilling part, seeing it work. In a way, AI robs a little bit of that, because I am less interested in reviewing code." #2 - The code review experience should be improved: "I think we could also make the process of reviewing code much more interesting than it is today. I mean, today, you see a list of diffs in alphabetical order and now it's up to you to make heads or tails of it. There are more pedagogical ways of presenting that. And you could have commentary generated by the AI that tells you what the changes are and whatever, and then tries to guide you along. So that symbiotic relationship, I think we need to work on that more and to keep the enjoyment in there."
2:04

AI is changing the software engineering craft. Anders Hejlsberg (Anders Hejlsberg) - creator of C#, TypeScript and industry legend - on why code review needs to get more enjoyable in response: #1 - AI is shifting the craft from writing code, to reviewing code: "In a sense, we're all turning into project managers. We can have an army of junior programmers, called agents, that will just spit out reams of code but someone's got to have the big picture and review all of that. And so, increasingly, our craft is going from one of writing the code, to one of reviewing the code and building the architecture of the code and overseeing the work. It's a different kind of craft. It's a different kind of enjoyment. I've always liked writing the code. To me that was the fulfilling part, seeing it work. In a way, AI robs a little bit of that, because I am less interested in reviewing code." #2 - The code review experience should be improved: "I think we could also make the process of reviewing code much more interesting than it is today. I mean, today, you see a list of diffs in alphabetical order and now it's up to you to make heads or tails of it. There are more pedagogical ways of presenting that. And you could have commentary generated by the AI that tells you what the changes are and whatever, and then tries to guide you along. So that symbiotic relationship, I think we need to work on that more and to keep the enjoyment in there."

The Pragmatic Engineer

39,073 Aufrufe • vor 5 Monaten

I'm sharing with you one of the best papers I've read on Harness Engineering it takes apart Claude Code (Opus 5.5), Codex, Gemini CLI and more, and boils all of them down to one line: agent = model + harness what you walk away with: > what a harness actually is > how today's coding agents are built under the hood > the patterns every one of them repeats > where the whole category is heading > their checklist for building your own the model gets the headlines. the harness decides whether the agent works loop and graph engineering on top of it - in my article below
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I'm sharing with you one of the best papers I've read on Harness Engineering it takes apart Claude Code (Opus 5.5), Codex, Gemini CLI and more, and boils all of them down to one line: agent = model + harness what you walk away with: > what a harness actually is > how today's coding agents are built under the hood > the patterns every one of them repeats > where the whole category is heading > their checklist for building your own the model gets the headlines. the harness decides whether the agent works loop and graph engineering on top of it - in my article below

Mr. Buzzoni

84,277 Aufrufe • vor 23 Tagen

We are truly overwhelmed with gratitude for each and every one of you who took the time out of your incredibly busy days and navigated through the Lagos traffic just to support Violet Charm at our very first pop-up event. It means so much to us that you chose to spend your precious time with us, and your presence brought so much warmth, energy, and joy to the day. This milestone is just the beginning of what we hope will be a beautiful journey, and while this was our first pop-up, it certainly won’t be the last. We are inspired by your encouragement and are committed to learning, growing, and improving every step of the way. Next year, we promise to come back bigger, better, and more exciting, all because of your unwavering support. Thank you from the depths of our hearts for believing in us and being part of this special moment ,we couldn’t have done it without you, and we can’t wait to create even more unforgettable memories together. Full video on my instagram
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We are truly overwhelmed with gratitude for each and every one of you who took the time out of your incredibly busy days and navigated through the Lagos traffic just to support Violet Charm at our very first pop-up event. It means so much to us that you chose to spend your precious time with us, and your presence brought so much warmth, energy, and joy to the day. This milestone is just the beginning of what we hope will be a beautiful journey, and while this was our first pop-up, it certainly won’t be the last. We are inspired by your encouragement and are committed to learning, growing, and improving every step of the way. Next year, we promise to come back bigger, better, and more exciting, all because of your unwavering support. Thank you from the depths of our hearts for believing in us and being part of this special moment ,we couldn’t have done it without you, and we can’t wait to create even more unforgettable memories together. Full video on my instagram

Isabella Esther Georgewill

56,275 Aufrufe • vor 10 Monaten

In two years, every new tech company will run on a CRM you can vibe code to fit your business. This CRM will not be built from scratch on a coding platform though. It will be built on top of managed infrastructure with complete data capture, indices designed for LLMs to understand the whole picture, clean APIs, curated UI frameworks designed for selling, enterprise-grade security, and come with 24/7 support. You’ll instruct the agent using natural language and it will write the code + run it for you. That’s what we’re building at Lightfield and today we’re announcing step two of our plan - code execution. You can now ask your agent to build programs, artifacts, and run complex analysis instantly. It does this by writing and running Python in a high performance sandbox using full customer memory — including every email, meeting, and note that Lightfield has captured — and reasoning across every relationship to deliver high quality work. Ask your agent to build a competitive battle card before a call tomorrow. It pulls positioning, objections, and win/loss patterns from real conversations. Ask it to flag every open deal where your champion's engagement has dropped or sentiment has shifted. It reads across every conversation and tells you where to focus. Ask it to build a pipeline review with charts and graphs for your board. It produces the whole thing in minutes. Here’s what we did with it this week: → We asked our agent to grade our sales team on discovery, rapport, and closing. It gave a structured scorecard with specific examples from real conversations. → Our GTM team asked the agent to build a plan to expand one of our enterprise customers. It pulled competitive threats, upsell paths, stakeholder mapping, and a phased execution plan — in minutes. → We used it to find every feature request from the last quarter that our engineering team has since shipped, and draft a personalized follow-up to each customer using their original words. It closed loops across dozens of accounts that would have taken days to track down manually This is the first step towards building any custom GTM workflow in natural language on top of what Lightfield knows about your business - a world model built from every single interaction your team has had with customers.
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In two years, every new tech company will run on a CRM you can vibe code to fit your business. This CRM will not be built from scratch on a coding platform though. It will be built on top of managed infrastructure with complete data capture, indices designed for LLMs to understand the whole picture, clean APIs, curated UI frameworks designed for selling, enterprise-grade security, and come with 24/7 support. You’ll instruct the agent using natural language and it will write the code + run it for you. That’s what we’re building at Lightfield and today we’re announcing step two of our plan - code execution. You can now ask your agent to build programs, artifacts, and run complex analysis instantly. It does this by writing and running Python in a high performance sandbox using full customer memory — including every email, meeting, and note that Lightfield has captured — and reasoning across every relationship to deliver high quality work. Ask your agent to build a competitive battle card before a call tomorrow. It pulls positioning, objections, and win/loss patterns from real conversations. Ask it to flag every open deal where your champion's engagement has dropped or sentiment has shifted. It reads across every conversation and tells you where to focus. Ask it to build a pipeline review with charts and graphs for your board. It produces the whole thing in minutes. Here’s what we did with it this week: → We asked our agent to grade our sales team on discovery, rapport, and closing. It gave a structured scorecard with specific examples from real conversations. → Our GTM team asked the agent to build a plan to expand one of our enterprise customers. It pulled competitive threats, upsell paths, stakeholder mapping, and a phased execution plan — in minutes. → We used it to find every feature request from the last quarter that our engineering team has since shipped, and draft a personalized follow-up to each customer using their original words. It closed loops across dozens of accounts that would have taken days to track down manually This is the first step towards building any custom GTM workflow in natural language on top of what Lightfield knows about your business - a world model built from every single interaction your team has had with customers.

Keith Peiris

27,634 Aufrufe • vor 8 Monaten

Head of Claude Code: "85% of our engineers are running dozens or hundreds of agents. The way you do it is graph engineering." In 40 minutes he explains how a single engineer now does the work of a whole team, how far this has gone inside Anthropic and where it goes next. This is something you can't skip if you don't want to be left behind. Watch it, then read the full guide on graph engineering below.
35:35

Head of Claude Code: "85% of our engineers are running dozens or hundreds of agents. The way you do it is graph engineering." In 40 minutes he explains how a single engineer now does the work of a whole team, how far this has gone inside Anthropic and where it goes next. This is something you can't skip if you don't want to be left behind. Watch it, then read the full guide on graph engineering below.

Anatoli Kopadze

1,733,188 Aufrufe • vor 3 Monaten

Head of Claude Code: "85% of our engineers are running dozens or hundreds of agents. The way you do it is graph engineering." In 40 minutes he explains how a single engineer now does the work of a whole team, how far this has gone inside Anthropic and where it goes next. This is something you can't skip if you don't want to be left behind. Watch it, then read the full guide on graph engineering below.
35:31

Head of Claude Code: "85% of our engineers are running dozens or hundreds of agents. The way you do it is graph engineering." In 40 minutes he explains how a single engineer now does the work of a whole team, how far this has gone inside Anthropic and where it goes next. This is something you can't skip if you don't want to be left behind. Watch it, then read the full guide on graph engineering below.

0xRafy

83,051 Aufrufe • vor 2 Monaten

Head of Claude Code: "85% of our engineers are running dozens or hundreds of agents. The way you do it is graph engineering." In 40 minutes he explains how a single engineer now does the work of a whole team, how far this has gone inside Anthropic and where it goes next. This is something you can't skip if you don't want to be left behind. Watch it, then read the full guide on graph engineering below.
36:36

Head of Claude Code: "85% of our engineers are running dozens or hundreds of agents. The way you do it is graph engineering." In 40 minutes he explains how a single engineer now does the work of a whole team, how far this has gone inside Anthropic and where it goes next. This is something you can't skip if you don't want to be left behind. Watch it, then read the full guide on graph engineering below.

Codez

22,107 Aufrufe • vor 2 Monaten

New short course: Collaborative Writing and Coding with OpenAI Canvas! Explore new ways to write and code with OpenAI Canvas, a user-friendly interface that allows you to brainstorm, draft, and refine text and code in collaboration with ChatGPT. In the short course, created with OpenAI, and taught by , a research lead at OpenAI, you’ll learn to use Canvas to enhance your workflows. Canvas lets you go beyond simple chat interactions. It provides a side-by-side workspace where you and ChatGPT can edit and refine text or code collaboratively. This makes brainstorming, drafting, and iterating as you write feel more natural and effective. As the first major update to ChatGPT’s visual interface since its launch in 2022, Canvas gives a new, innovative approach to collaboration with AI. For instance, after writing the first version of your code, Canvas can review it and give suggestions for improvement. It can also help with debugging by adding logging, identifying problems to fix, and writing comments. In addition, you'll also learn what it takes to train the model for an interface like Canvas. In this video-only short course, you’ll: - Learn how to ask for in-line feedback and control the iteration of your work by directly editing selected areas of your text or code from the model’s output. - Learn how to access quick automation tools in a shortcut menu that allows you to modify your writing tone and length, enhance your code, and restore previous versions of your work. - Learn how to use Canvas as a research assistant tool with an example of asking the model to reason through the screenshot of a plot to write a research report, in which you can ask questions within the created report. - Ask the model to write Python code to replicate the graph seen on a screenshot image. - Go behind the scenes of how you can create a video game, such as Space Battleship, from scratch, edit it, and display it in one self-contained HTML file. - Get a real-world application example of creating a SQL database from the image of its architecture. - Understand the model training and design processes that power Canvas! Please sign up here:
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New short course: Collaborative Writing and Coding with OpenAI Canvas! Explore new ways to write and code with OpenAI Canvas, a user-friendly interface that allows you to brainstorm, draft, and refine text and code in collaboration with ChatGPT. In the short course, created with OpenAI, and taught by , a research lead at OpenAI, you’ll learn to use Canvas to enhance your workflows. Canvas lets you go beyond simple chat interactions. It provides a side-by-side workspace where you and ChatGPT can edit and refine text or code collaboratively. This makes brainstorming, drafting, and iterating as you write feel more natural and effective. As the first major update to ChatGPT’s visual interface since its launch in 2022, Canvas gives a new, innovative approach to collaboration with AI. For instance, after writing the first version of your code, Canvas can review it and give suggestions for improvement. It can also help with debugging by adding logging, identifying problems to fix, and writing comments. In addition, you'll also learn what it takes to train the model for an interface like Canvas. In this video-only short course, you’ll: - Learn how to ask for in-line feedback and control the iteration of your work by directly editing selected areas of your text or code from the model’s output. - Learn how to access quick automation tools in a shortcut menu that allows you to modify your writing tone and length, enhance your code, and restore previous versions of your work. - Learn how to use Canvas as a research assistant tool with an example of asking the model to reason through the screenshot of a plot to write a research report, in which you can ask questions within the created report. - Ask the model to write Python code to replicate the graph seen on a screenshot image. - Go behind the scenes of how you can create a video game, such as Space Battleship, from scratch, edit it, and display it in one self-contained HTML file. - Get a real-world application example of creating a SQL database from the image of its architecture. - Understand the model training and design processes that power Canvas! Please sign up here:

Andrew Ng

128,180 Aufrufe • vor 1 Jahr