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Google launched a brand new AI tool. It's called CodeWiki, and it might be the biggest upgrade GitHub has had in years. And all you do is paste your GitHub repo in, and it turns your entire project into an interactive guide. It also generates diagrams, explanations, walkthroughs, everything... show more

Prasenjit

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837,724 просмотров • 5 месяцев назад •via X (Twitter)

Образование Новости и политика Наука и технологии

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What the f*ck is this GitHub repo, 33k+ stars in less than a month. It's called OpenHuman, and the newest feature is why it's exploding, Super Context. > The moment you open a new chat, it runs a context pass first > Gathers what's relevant about you, your screen, your work > Then answers turn one like it's turn ten, already grounded It lives at the OS level, speaks in your voice across your whole system, connects to 118 apps you already use. Runs locally, never leaves your machine, and keeps learning you the longer you use it. It was #31 trending on GitHub for ten days straight and now it's the #1 repo on GitHub. > Repo:

What the f*ck is this GitHub repo, 33k+ stars in less than a month. It's called OpenHuman, and the newest feature is why it's exploding, Super Context. > The moment you open a new chat, it runs a context pass first > Gathers what's relevant about you, your screen, your work > Then answers turn one like it's turn ten, already grounded It lives at the OS level, speaks in your voice across your whole system, connects to 118 apps you already use. Runs locally, never leaves your machine, and keeps learning you the longer you use it. It was #31 trending on GitHub for ten days straight and now it's the #1 repo on GitHub. > Repo:

Defileo🔮

204,784 просмотров • 19 дней назад

Turn any GitHub repo into a visual, interactive diagram in one click 🤯 Just replace `github` with `gitdiagram` in the URL… or go to: → - It maps your entire repo - Shows all files - Reveals every dependency 100% open-source and free. Repo in 🧵↓

Turn any GitHub repo into a visual, interactive diagram in one click 🤯 Just replace `github` with `gitdiagram` in the URL… or go to: → - It maps your entire repo - Shows all files - Reveals every dependency 100% open-source and free. Repo in 🧵↓

Charly Wargnier

14,163 просмотров • 7 месяцев назад

GPT Engineer github: Specify what you want it to build, the AI asks for clarification, and then builds it. GPT Engineer is made to be easy to adapt, extend, and make your agent learn how you want your code to look. It generates an entire codebase based on a prompt.

GPT Engineer github: Specify what you want it to build, the AI asks for clarification, and then builds it. GPT Engineer is made to be easy to adapt, extend, and make your agent learn how you want your code to look. It generates an entire codebase based on a prompt.

AK

349,145 просмотров • 3 лет назад

Introducing `gut` - an AI agent for git 🤖🧑‍💻 This is a really neat CLI-based tool from Clelia Bertelli that lets you ask about and execute git commands through natural language! Describe what you want to do in English (e.g. a complex rebase), and it’ll let you review and auto-execute each command while explaining what it does. It’s a neat, minimal helper tool for anyone ramping up on version control tools like git + GitHub. Powered by LlamaIndex 🦙 workflows and Groq Inc To use it: `pip install gut-ai` Repo:

Introducing `gut` - an AI agent for git 🤖🧑‍💻 This is a really neat CLI-based tool from Clelia Bertelli that lets you ask about and execute git commands through natural language! Describe what you want to do in English (e.g. a complex rebase), and it’ll let you review and auto-execute each command while explaining what it does. It’s a neat, minimal helper tool for anyone ramping up on version control tools like git + GitHub. Powered by LlamaIndex 🦙 workflows and Groq Inc To use it: `pip install gut-ai` Repo:

Jerry Liu

17,065 просмотров • 1 год назад

Google just announced a new browser called Disco 🪩 It turns your tabs into apps. Disco is a fresh way to experience the internet. It starts with an AI assistant that helps you browse. And when you have multiple tabs open, Disco can combine them into an interactive app. It's like vibe-coding a browser experience made just for you. All created in real time. What do you think, is this the future of the internet?

Google just announced a new browser called Disco 🪩 It turns your tabs into apps. Disco is a fresh way to experience the internet. It starts with an AI assistant that helps you browse. And when you have multiple tabs open, Disco can combine them into an interactive app. It's like vibe-coding a browser experience made just for you. All created in real time. What do you think, is this the future of the internet?

Vitto Rivabella

74,982 просмотров • 7 месяцев назад

MICROSOFT PUT THE ENTIRE SOURCE CODE OF WINDOWS INTO A SINGLE GIT REPO -- 300 GIGABYTES, 3.5 MILLION FILES AND MADE IT CLONE IN SECONDS 31 minutes from the Microsoft engineer who actually did it, bending the tool you use for a 50-file side project to hold the biggest codebase on the planet. -> The moment it lands, every excuse dies. You've heard "Git doesn't scale, use something else" your whole career. They ran git status on the largest repo alive and it came back instantly. The secret wasn't a different tool. It was understanding what git actually stores and realizing you never need the whole thing on disk. Pull only the files you touch. Ignore the 3.4 million you never will. Knowing the commands was never the ceiling -> understanding how git stores and moves things is what lets you do what everyone swears is impossible. And as AI agents spin up repos that balloon overnight, knowing how git scales is what keeps you from drowning in your own history. Everyone treats git like it maxes out at a hobby project. One team quietly proved it can hold an operating system. Bookmark & Watch it today ↓

MICROSOFT PUT THE ENTIRE SOURCE CODE OF WINDOWS INTO A SINGLE GIT REPO -- 300 GIGABYTES, 3.5 MILLION FILES AND MADE IT CLONE IN SECONDS 31 minutes from the Microsoft engineer who actually did it, bending the tool you use for a 50-file side project to hold the biggest codebase on the planet. -> The moment it lands, every excuse dies. You've heard "Git doesn't scale, use something else" your whole career. They ran git status on the largest repo alive and it came back instantly. The secret wasn't a different tool. It was understanding what git actually stores and realizing you never need the whole thing on disk. Pull only the files you touch. Ignore the 3.4 million you never will. Knowing the commands was never the ceiling -> understanding how git stores and moves things is what lets you do what everyone swears is impossible. And as AI agents spin up repos that balloon overnight, knowing how git scales is what keeps you from drowning in your own history. Everyone treats git like it maxes out at a hobby project. One team quietly proved it can hold an operating system. Bookmark & Watch it today ↓

slash1s

255,565 просмотров • 1 месяц назад

"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."

"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."

Patrick OShaughnessy

24,818 просмотров • 5 месяцев назад

🚨BIGGEST ANNOUNCEMENT OF MY LIFE: I've been working on something big these last few months It's called Creator Buddy, and it's the best AI content tool you'll ever use It's an AI content coach that will help you create WAY better content on X It's jam packed with awesome AI tools that will help you create content that attracts you a massive audience: • AI coach that reviews all your old content to let you know what's working • AI content repurposing tool that helps you take a tweet and turn it into videos, blogs, and other forms of content • Brain dumping tool that takes what's on your mind and turns it into content • A bookmarking tool that's like X bookmarks except actually useful This is the most important project of my life and I can't wait for you to try it out The biggest challenge I see for content creators on X is they struggle to find their voice. They struggle to figure out what their niche should be or what they should talk about Creator Buddy solves this It's not an AI tool that creates you content. It's an AI tool that helps you discover who you are and what makes you unique and interesting. I'm launching Creator Buddy in the next month or so and want you to test it out. Beta testing begins in the next week and the first wave of users will be my subscribers on X I'll also be choosing 10 random people who like/RT this post to beta test it early Second wave will be through my newsletter (link in bio) Third wave will be to my reply guys (make sure to reply early and often) Creator Buddy is going to be the single greatest AI content creation tool and I can't wait for you to use it!

🚨BIGGEST ANNOUNCEMENT OF MY LIFE: I've been working on something big these last few months It's called Creator Buddy, and it's the best AI content tool you'll ever use It's an AI content coach that will help you create WAY better content on X It's jam packed with awesome AI tools that will help you create content that attracts you a massive audience: • AI coach that reviews all your old content to let you know what's working • AI content repurposing tool that helps you take a tweet and turn it into videos, blogs, and other forms of content • Brain dumping tool that takes what's on your mind and turns it into content • A bookmarking tool that's like X bookmarks except actually useful This is the most important project of my life and I can't wait for you to try it out The biggest challenge I see for content creators on X is they struggle to find their voice. They struggle to figure out what their niche should be or what they should talk about Creator Buddy solves this It's not an AI tool that creates you content. It's an AI tool that helps you discover who you are and what makes you unique and interesting. I'm launching Creator Buddy in the next month or so and want you to test it out. Beta testing begins in the next week and the first wave of users will be my subscribers on X I'll also be choosing 10 random people who like/RT this post to beta test it early Second wave will be through my newsletter (link in bio) Third wave will be to my reply guys (make sure to reply early and often) Creator Buddy is going to be the single greatest AI content creation tool and I can't wait for you to use it!

Alex Finn

337,313 просмотров • 1 год назад

$THIS MIGHT BE THE #1 OPEN-SOURCE REPO FOR CLAUDE CODE RIGHT NOW. IT GIVES CLAUDE A MEMORY AND SLASHES YOUR TOKEN COST ON EVERY QUESTION The repo is safishamsi/graphify, a free open-source skill that turns any codebase into a knowledge graph Claude Code can read instantly. Instead of grepping through your files every session, Claude gets a map of how everything connects The problem it fixes: Every time you ask Claude Code about a big repo, it does the same thing, greps through dozens of files like a brute-force Ctrl+F, blows through your context window, and sometimes still misses the answer hiding in a file nobody searched. Claude Code has no memory of how your project is structured. Every session starts from zero What it does: It maps your entire codebase into a knowledge graph, capturing not just which files exist, but which functions depend on which, which modules are central, and which files cluster around the same concern. Claude queries the map instead of scanning files How it works, three passes: 1. Code structure, free and local. Tree-sitter parses your files and pulls out classes, functions, imports and call graphs. No LLM, no tokens, just your actual code mapped deterministically 2. Audio and video, if you have them. Transcribed locally and folded into the graph 3. Docs, papers, images. Here an LLM does semantic analysis, figuring out what each document means and where it fits. Only the meaning gets sent up, never your raw source It saves you money: Normally a question about a big repo makes Claude spawn explore agents that scan file after file, eating your context window and your token budget before you get an answer. With the graph already built, Claude queries the map instead of re-reading the codebase every time. Same answer, a fraction of the tokens. The graph only gets built once, then a hook rebuilds it after each commit for free, so you never pay that scanning cost again. The bigger the repo, the bigger the gap The best parts: it's a skill, so once installed Claude knows when to use it without you memorizing commands. It works on non-code folders too, point it at docs or notes and it can spin up an Obsidian vault How to add it to your Claude: 1. Install Claude Code if you haven't: npm install -g Paul Jankura-ai/claude-code 2. Add the skill: claude skill add safishamsi/graphify 3. Open your project folder and run /graphify . to build the graph 4. Optional, make it automatic: graphify hook install so the graph rebuilds after every commit That's it. Ask Claude about your repo and it reads the map instead of burning tokens on a file hunt Bookmark this$

THIS MIGHT BE THE #1 OPEN-SOURCE REPO FOR CLAUDE CODE RIGHT NOW. IT GIVES CLAUDE A MEMORY AND SLASHES YOUR TOKEN COST ON EVERY QUESTION The repo is safishamsi/graphify, a free open-source skill that turns any codebase into a knowledge graph Claude Code can read instantly. Instead of grepping through your files every session, Claude gets a map of how everything connects The problem it fixes: Every time you ask Claude Code about a big repo, it does the same thing, greps through dozens of files like a brute-force Ctrl+F, blows through your context window, and sometimes still misses the answer hiding in a file nobody searched. Claude Code has no memory of how your project is structured. Every session starts from zero What it does: It maps your entire codebase into a knowledge graph, capturing not just which files exist, but which functions depend on which, which modules are central, and which files cluster around the same concern. Claude queries the map instead of scanning files How it works, three passes: 1. Code structure, free and local. Tree-sitter parses your files and pulls out classes, functions, imports and call graphs. No LLM, no tokens, just your actual code mapped deterministically 2. Audio and video, if you have them. Transcribed locally and folded into the graph 3. Docs, papers, images. Here an LLM does semantic analysis, figuring out what each document means and where it fits. Only the meaning gets sent up, never your raw source It saves you money: Normally a question about a big repo makes Claude spawn explore agents that scan file after file, eating your context window and your token budget before you get an answer. With the graph already built, Claude queries the map instead of re-reading the codebase every time. Same answer, a fraction of the tokens. The graph only gets built once, then a hook rebuilds it after each commit for free, so you never pay that scanning cost again. The bigger the repo, the bigger the gap The best parts: it's a skill, so once installed Claude knows when to use it without you memorizing commands. It works on non-code folders too, point it at docs or notes and it can spin up an Obsidian vault How to add it to your Claude: 1. Install Claude Code if you haven't: npm install -g Paul Jankura-ai/claude-code 2. Add the skill: claude skill add safishamsi/graphify 3. Open your project folder and run /graphify . to build the graph 4. Optional, make it automatic: graphify hook install so the graph rebuilds after every commit That's it. Ask Claude about your repo and it reads the map instead of burning tokens on a file hunt Bookmark this

Yarchi

55,345 просмотров • 1 месяц назад

Andrej Karpathy (Founding Member of OpenAI): "you literally have to put in 10,000 hours" to get good at AI he gave out his 10,000 hours of learning. for free. this GitHub repo is the only guide you need to build your own ChatGPT from scratch. This will teach you more than most AI courses at universities teach in a year. Watch this video and save the build below no matter what. It will be the most productive thing to do this entire weekend.

Andrej Karpathy (Founding Member of OpenAI): "you literally have to put in 10,000 hours" to get good at AI he gave out his 10,000 hours of learning. for free. this GitHub repo is the only guide you need to build your own ChatGPT from scratch. This will teach you more than most AI courses at universities teach in a year. Watch this video and save the build below no matter what. It will be the most productive thing to do this entire weekend.

Avid

101,202 просмотров • 18 дней назад

Good Products are Opinionated. “Every great founder I’ve seen up close, or even from afar, is highly opinionated and they’re almost dictatorial in how they run things. Also, early-stage teams are opinionated. And the products they build are opinionated. Opinionated means they have a strong vision for what it should and should not do. If you don’t have a strong vision of what it should and should not do, then you end up with a giant mess of competing features. jack Dorsey has a great phrase: “Limit the number of details and make every detail perfect.” And that’s especially important in consumer products. You have to be extremely opinionated. All the best products in consumer-land get there through simplicity. You could argue the recent success of ChatGPT and similar AI chatbots is because they’re even simpler than Google. Google looked like the simplest product you could possibly build. It was just a box. But even that box had limitations in what you could do. You were trained not to talk to it conversationally. You would enter keywords and you had to be careful with those keywords. You couldn’t just ask a question outright and get a sensible answer. It wouldn’t do proper synonym matching, and then it would spit you back a whole bunch of results. That was complicated. You’d have to sift through and figure out which ones were ads, which ones were real, were they sorted correctly, and then you’d have to click through and read it. ChatGPT and the chatbot simplified that even further. You just talk to it like a human—use your voice or you type and it gives you back a straight answer. It might not always be right, but it’s good enough, and it gives you back a straight answer in text or voice or images or whatever you prefer. So it simplifies what we looked at as the simplest product on the Internet, which was formerly Google, and makes it even simpler. And you just cannot make a product that’s simple enough. To be simple, you have to be extremely opinionated. You have to remove everything that doesn’t match your opinion of what the product should be doing. You have to meticulously remove every single click, every single extra button, every single setting. In fact, things in the settings menu are an indication that you’ve abdicated your responsibility to the user. Choices for the user are an abdication of your responsibility. Maybe for legal or important reasons, you can have a few of these, but you should struggle and resist against every single choice the user has to make. In the age of TikTok and ChatGPT, that’s more obvious than ever. People don’t want to make choices. They don’t want the cognitive load. They want you to figure out what the right defaults are and what they should be doing and looking at, and they want you to present it to them.”

Good Products are Opinionated. “Every great founder I’ve seen up close, or even from afar, is highly opinionated and they’re almost dictatorial in how they run things. Also, early-stage teams are opinionated. And the products they build are opinionated. Opinionated means they have a strong vision for what it should and should not do. If you don’t have a strong vision of what it should and should not do, then you end up with a giant mess of competing features. jack Dorsey has a great phrase: “Limit the number of details and make every detail perfect.” And that’s especially important in consumer products. You have to be extremely opinionated. All the best products in consumer-land get there through simplicity. You could argue the recent success of ChatGPT and similar AI chatbots is because they’re even simpler than Google. Google looked like the simplest product you could possibly build. It was just a box. But even that box had limitations in what you could do. You were trained not to talk to it conversationally. You would enter keywords and you had to be careful with those keywords. You couldn’t just ask a question outright and get a sensible answer. It wouldn’t do proper synonym matching, and then it would spit you back a whole bunch of results. That was complicated. You’d have to sift through and figure out which ones were ads, which ones were real, were they sorted correctly, and then you’d have to click through and read it. ChatGPT and the chatbot simplified that even further. You just talk to it like a human—use your voice or you type and it gives you back a straight answer. It might not always be right, but it’s good enough, and it gives you back a straight answer in text or voice or images or whatever you prefer. So it simplifies what we looked at as the simplest product on the Internet, which was formerly Google, and makes it even simpler. And you just cannot make a product that’s simple enough. To be simple, you have to be extremely opinionated. You have to remove everything that doesn’t match your opinion of what the product should be doing. You have to meticulously remove every single click, every single extra button, every single setting. In fact, things in the settings menu are an indication that you’ve abdicated your responsibility to the user. Choices for the user are an abdication of your responsibility. Maybe for legal or important reasons, you can have a few of these, but you should struggle and resist against every single choice the user has to make. In the age of TikTok and ChatGPT, that’s more obvious than ever. People don’t want to make choices. They don’t want the cognitive load. They want you to figure out what the right defaults are and what they should be doing and looking at, and they want you to present it to them.”

Naval

468,780 просмотров • 7 месяцев назад

Microsoft has launched a powerful new data analysis tool! Introducing Data Formulator, a 100% open-source LLM-powered, no-code tool that transforms data in a snap and creates stunning visualizations. Key features include: 🤖 AI-powered data transformation 🖱️ Interactive drag-and-drop UI for visualizations 💬 Seamless blend of UI & natural language inputs But that’s not all: You can even create charts beyond your initial dataset. Data Formulator automatically identifies extra computation needs, generates fields for you, and outputs the final visualization. Find the GitHub repo in the next tweet! _____ Find me → Akshay 🚀 ✔️ For more insights and tutorials on AI and Machine Learning.

Microsoft has launched a powerful new data analysis tool! Introducing Data Formulator, a 100% open-source LLM-powered, no-code tool that transforms data in a snap and creates stunning visualizations. Key features include: 🤖 AI-powered data transformation 🖱️ Interactive drag-and-drop UI for visualizations 💬 Seamless blend of UI & natural language inputs But that’s not all: You can even create charts beyond your initial dataset. Data Formulator automatically identifies extra computation needs, generates fields for you, and outputs the final visualization. Find the GitHub repo in the next tweet! _____ Find me → Akshay 🚀 ✔️ For more insights and tutorials on AI and Machine Learning.

Akshay 🚀

280,449 просмотров • 1 год назад

> Launching: @TheRepolyze - a free, open-source AI-powered tool that helps you deeply understand any public GitHub repository in seconds. > Just paste the repo URL and instantly get: • Clear, actionable insights into the codebase • Beautiful architecture & dependency diagrams • Code quality overview, strengths, weaknesses & potential red flags • Exportable PDF/Markdown reports for sharing or reference > Say goodbye to spending hours (or days) manually digging through unfamiliar code - whether you're contributing, reviewing, onboarding, or just exploring open source. > Built for developers, by developers. > Reposts and feedback greatly appreciated - let's get this in front of more devs! ❤️ > If you find it useful, please star the repo on GitHub to show support & help it grow

> Launching: @TheRepolyze - a free, open-source AI-powered tool that helps you deeply understand any public GitHub repository in seconds. > Just paste the repo URL and instantly get: • Clear, actionable insights into the codebase • Beautiful architecture & dependency diagrams • Code quality overview, strengths, weaknesses & potential red flags • Exportable PDF/Markdown reports for sharing or reference > Say goodbye to spending hours (or days) manually digging through unfamiliar code - whether you're contributing, reviewing, onboarding, or just exploring open source. > Built for developers, by developers. > Reposts and feedback greatly appreciated - let's get this in front of more devs! ❤️ > If you find it useful, please star the repo on GitHub to show support & help it grow

Manish Kumar

32,858 просмотров • 4 месяцев назад

Notch Clips. every other ad tool ignores the footage sitting in your dropbox and generates new clips from a prompt. notch opens your library instead. it watches every clip you have ever shot and understands what is inside each one. the mood. who is in frame. what they are doing. the quality. so when you ask it to build an ad, it does not start from scratch. it reaches into your past shoots, finds the clip that fits, and slots it into the exact moment that needs it. here is what that looks like. you had thirteen versions of one reaction shot. notch picked the one that worked and left the other twelve. not by filename. not by guessing from a reference image. it watched all thirteen and could tell the difference. that is the whole idea. the right clip was already in your library. every other tool was about to make a worse one. footage you already shot, turned into every ad you still need. drop your site and a few clips you have. notch builds the first ad from them.

Notch Clips. every other ad tool ignores the footage sitting in your dropbox and generates new clips from a prompt. notch opens your library instead. it watches every clip you have ever shot and understands what is inside each one. the mood. who is in frame. what they are doing. the quality. so when you ask it to build an ad, it does not start from scratch. it reaches into your past shoots, finds the clip that fits, and slots it into the exact moment that needs it. here is what that looks like. you had thirteen versions of one reaction shot. notch picked the one that worked and left the other twelve. not by filename. not by guessing from a reference image. it watched all thirteen and could tell the difference. that is the whole idea. the right clip was already in your library. every other tool was about to make a worse one. footage you already shot, turned into every ad you still need. drop your site and a few clips you have. notch builds the first ad from them.

Vinay Jain

406,286 просмотров • 1 месяц назад

What if writing code was as simple as talking to your device? Watch my GPT-4 voice assistant: - take in a complex coding task - write the code - create a PR on my GitHub repo All I had to do was tell it what to do. This is the future of software.

What if writing code was as simple as talking to your device? Watch my GPT-4 voice assistant: - take in a complex coding task - write the code - create a PR on my GitHub repo All I had to do was tell it what to do. This is the future of software.

Mckay Wrigley

1,347,740 просмотров • 3 лет назад

Anyone who has remodeled a home knows what a pain in the behind it is. Michal Cieplinski knows that better than anyone, started: which uses AI to take care of everything. Finding workers to do your kitchen. Arranging it all. Letting you visualize what your remodeled home will look like. And more. Last night I met Hi Jenny's founder and had a fun conversation at HFØ's demo day, where we saw 14 new startups get born.

Anyone who has remodeled a home knows what a pain in the behind it is. Michal Cieplinski knows that better than anyone, started: which uses AI to take care of everything. Finding workers to do your kitchen. Arranging it all. Letting you visualize what your remodeled home will look like. And more. Last night I met Hi Jenny's founder and had a fun conversation at HFØ's demo day, where we saw 14 new startups get born.

Robert Scoble

60,246 просмотров • 21 дней назад

I’m reverse-engineering the Google AI mouse pointer and making it Open Source! It sees your screen. You can freeform paint anything and ask AI to modify it. It understands the app or window you mean. It can click, type, edit, navigate, and even write + execute code. A tiny cursor becoming a real computer-use agent. Made with the help of Cua which is an AMAZING reference for computer use Sorry Google DeepMind but I had to do this heyclicky Started a revolution and we will be the ones to win Also credits to Omkar Satpute for the help Feel free to modify it , update it and make it your own, we gotta beat them at this. Link to the repo in the comments:

I’m reverse-engineering the Google AI mouse pointer and making it Open Source! It sees your screen. You can freeform paint anything and ask AI to modify it. It understands the app or window you mean. It can click, type, edit, navigate, and even write + execute code. A tiny cursor becoming a real computer-use agent. Made with the help of Cua which is an AMAZING reference for computer use Sorry Google DeepMind but I had to do this heyclicky Started a revolution and we will be the ones to win Also credits to Omkar Satpute for the help Feel free to modify it , update it and make it your own, we gotta beat them at this. Link to the repo in the comments:

Milind S

213,009 просмотров • 2 месяцев назад

This is Nouns. A new type of brand. A movement. It's open source. There's no copyright. Anyone can use it and create with it, in any way they want. And if your idea is great, Nouns will fund you to do it. What will you build? ⌐◨-◨

nounish ⌐◨-◨

82,583 просмотров • 3 лет назад

For those of you tired of yet another AI-based IDE: Check out Traycer. It's a Visual Studio Code extension (free forever for anyone working on open-source repositories), and it does something different from everyone else. You write a high-level prompt outlining the changes you want to make to your codebase, and the extension generates a plan for you before you touch the code. (It reminds me of GitHub Copilot Workspaces.) You can review the plan, understand exactly the changes the extension will make to your code, and make any modifications. When you are ready, you execute the plan, and Traycer stages all of the changes so you have a new opportunity to review everything. Only then does Traycer apply the changes. This is ideal for large codebases where you'd rather study the changes the AI plans to make before they make it into your code. Look at the video I recorded to see how it works. Thanks to the Traycer team for collaborating with me on this post!

For those of you tired of yet another AI-based IDE: Check out Traycer. It's a Visual Studio Code extension (free forever for anyone working on open-source repositories), and it does something different from everyone else. You write a high-level prompt outlining the changes you want to make to your codebase, and the extension generates a plan for you before you touch the code. (It reminds me of GitHub Copilot Workspaces.) You can review the plan, understand exactly the changes the extension will make to your code, and make any modifications. When you are ready, you execute the plan, and Traycer stages all of the changes so you have a new opportunity to review everything. Only then does Traycer apply the changes. This is ideal for large codebases where you'd rather study the changes the AI plans to make before they make it into your code. Look at the video I recorded to see how it works. Thanks to the Traycer team for collaborating with me on this post!

Santiago

84,445 просмотров • 1 год назад