Video wird geladen...

Video konnte nicht geladen werden

Beim Laden dieses Videos ist ein Problem aufgetreten. Dies könnte an einem vorübergehenden Netzwerkproblem liegen oder das Video ist möglicherweise nicht verfügbar.

I read a lot of open-source code and that’s mostly how I learn to write better code. But it often takes a while to understand different projects their structure, how things are connected and GitHub’s UX isn’t that great for that. built "Gitvizz" to solve that exact problem it... show more

Adithya S K

13,495 subscribers

35,195 Aufrufe • vor 8 Monaten •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

0 Kommentare

Keine Kommentare verfügbar

Kommentare vom Original-Post werden hier angezeigt

Ähnliche Videos

Ever felt lost in your own codebase ? 👉🏻 Meet Gitvizz - instantly turn your codebase into interactive graphs so you can see how everything’s wired Check it out at gitvizz[.]com

Ever felt lost in your own codebase ? 👉🏻 Meet Gitvizz - instantly turn your codebase into interactive graphs so you can see how everything’s wired Check it out at gitvizz[.]com

Adithya S K

24,129 Aufrufe • vor 9 Monaten

This is one of the coolest open-source AI agent projects I've seen in a while: 'Understand Anything' It's a plugin for Claude Code, Codex, OpenCode etc. that analyzes your codebase and turns it into a knowledge base that you can interact with. It explains the codebase to you, rather than showing you the structure. It seems like it's designed for code but I opened my Obsidian vault of podcast highlights in Claude Code, then ran /understand. The result is a knowledge graph that I can search of highlights from 888 podcast episodes and 144K lines of markdown text.

This is one of the coolest open-source AI agent projects I've seen in a while: 'Understand Anything' It's a plugin for Claude Code, Codex, OpenCode etc. that analyzes your codebase and turns it into a knowledge base that you can interact with. It explains the codebase to you, rather than showing you the structure. It seems like it's designed for code but I opened my Obsidian vault of podcast highlights in Claude Code, then ran /understand. The result is a knowledge graph that I can search of highlights from 888 podcast episodes and 144K lines of markdown text.

Dan McAteer

171,686 Aufrufe • vor 13 Tagen

Introducing "codebase to course", a skill that turns any codebase into an interactive coding course So that you can learn coding through your own projects, complete with visualization, plain-English code translations, metaphors, even quizzes... I vibe code a lot but have no idea how the code works under the hood. This is how I think "learning to code" should be in the AI age: Build first, learn later Link below

Introducing "codebase to course", a skill that turns any codebase into an interactive coding course So that you can learn coding through your own projects, complete with visualization, plain-English code translations, metaphors, even quizzes... I vibe code a lot but have no idea how the code works under the hood. This is how I think "learning to code" should be in the AI age: Build first, learn later Link below

Zara Zhang

181,137 Aufrufe • vor 3 Monaten

Introducing Claude Code Templates 🚀 I originally built this to streamline how I set up new projects with Claude Code…just a small tool to make my own workflow smoother. No install, just run: npx claude-code-templates Right now, it configures Commands, Hooks, MCPs, and settings.json for JavaScript/TypeScript and Python projects. It made things so much easier for me that I decided to share it with the community. Open-source and open to ideas — feel free to contribute! Big thanks to the team at Anthropic and everyone behind Claude Code Community 🙌

Introducing Claude Code Templates 🚀 I originally built this to streamline how I set up new projects with Claude Code…just a small tool to make my own workflow smoother. No install, just run: npx claude-code-templates Right now, it configures Commands, Hooks, MCPs, and settings.json for JavaScript/TypeScript and Python projects. It made things so much easier for me that I decided to share it with the community. Open-source and open to ideas — feel free to contribute! Big thanks to the team at Anthropic and everyone behind Claude Code Community 🙌

Daniel San

28,410 Aufrufe • vor 1 Jahr

Open Interpreter is like ChatGPT Code Interpreter, but you can run it locally on your computer, and it is 100% open-source. Write and execute code, analyze data, control your computer, and more. Great work killian Here's how to install and use it: 👇

Open Interpreter is like ChatGPT Code Interpreter, but you can run it locally on your computer, and it is 100% open-source. Write and execute code, analyze data, control your computer, and more. Great work killian Here's how to install and use it: 👇

Matthew Berman

142,901 Aufrufe • vor 2 Jahren

The economy is split into two and I don't understand how that happens. Is it the 1% that's holding it up and making it look better? Or is it a spending problem? How can it be perceived so drastically different?

The economy is split into two and I don't understand how that happens. Is it the 1% that's holding it up and making it look better? Or is it a spending problem? How can it be perceived so drastically different?

Shipwreck

15,507 Aufrufe • vor 1 Monat

You can just tell Claude Code to learn skills and it will. I asked Claude to create an app that uses tldraw and it one shotted it with sqlite db, and then I asked Claude Code to create a skill so that it could read and write on the canvas. 10 minutes later it could do it. Weirrrrdddd times.

You can just tell Claude Code to learn skills and it will. I asked Claude to create an app that uses tldraw and it one shotted it with sqlite db, and then I asked Claude Code to create a skill so that it could read and write on the canvas. 10 minutes later it could do it. Weirrrrdddd times.

Riley Brown

73,418 Aufrufe • vor 6 Monaten

Introducing Bifrost, a tool that uses AI to turn anything from Figma into clean React code automatically. How it works: - Generates usable code for anything in Figma - Drops the code directly into your code editor - Learns how to structure code just like yours 1/4

Introducing Bifrost, a tool that uses AI to turn anything from Figma into clean React code automatically. How it works: - Generates usable code for anything in Figma - Drops the code directly into your code editor - Learns how to structure code just like yours 1/4

kartik

756,101 Aufrufe • vor 3 Jahren

Doing something meaningful for others, building something that improves lives, creating value that lasts, that’s what’s important. It’s easy to talk, to criticize, to signal. But to actually do something.. To build a rocket, fix a car, write code, create a product, solve a real problem, that’s rare. That’s what matters. The world doesn’t need more opinions. It needs more builders. More people who wake up and ask: How can I help? What can I fix? What can I create that makes life better for someone else? If you want purpose, be useful. If you want meaning, build. Everything else is noise.

Doing something meaningful for others, building something that improves lives, creating value that lasts, that’s what’s important. It’s easy to talk, to criticize, to signal. But to actually do something.. To build a rocket, fix a car, write code, create a product, solve a real problem, that’s rare. That’s what matters. The world doesn’t need more opinions. It needs more builders. More people who wake up and ask: How can I help? What can I fix? What can I create that makes life better for someone else? If you want purpose, be useful. If you want meaning, build. Everything else is noise.

News America Party

51,174 Aufrufe • vor 11 Monaten

SDF and liquid glass enthusiasts! I bring you some exciting original research I did into shape-preserving smooth blending while working on Liquid DOM. Read on to learn why it matters, why it's hard, and how I managed to solve it. All the code is open.

SDF and liquid glass enthusiasts! I bring you some exciting original research I did into shape-preserving smooth blending while working on Liquid DOM. Read on to learn why it matters, why it's hard, and how I managed to solve it. All the code is open.

Andrew Prifer ✈️ San Francisco 🌞 July 1-12

52,666 Aufrufe • vor 17 Tagen

$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 Aufrufe • vor 23 Tagen

Open source software is GREAT. But "open source" AI is NOT like software - it's VERY different. Rob Miles cuts through the bullshit: ROB: Oh, hey, Meta. I heard Llama's weights leaked. That's rough, man. Information security's hard. How you holding up? META: Oh, we're great. Yeah, we're fine. We... actually, that was deliberate. We meant to do that. ROB MILES: Oh, really? META: Yeah... well, the second time anyway. It's called open source. Look it up. ROB MILES: Oh. Well, I love free and open source software, but do those principles really apply to network weights? How does that work? META: Open source is good for users because it lets them read the source code and see what the program is really doing and how it works. ROB MILES: Wait, have you found a way to tell how a model works by looking at its weights? META: No. But, it lets developers all over the world spot bugs in the code and submit patches. ROB: Wait, people are fixing bugs in Llama's weights? META: Well, no. People can fine tune it themselves, though. ROB: ?? Other companies offer fine tuning through APIs. ... So, hang on, if you can't actually read the code and know what it's doing, then network weights are effectively a compiled binary. So, in what sense is this open source? Why not call it like public weights? Why call it open source at all? META: I love open source. ROB: Well, I know a lot of your employees do, but you don't love anything. You're a giant corporation. What's in it for you? META: I love, love open source.

Open source software is GREAT. But "open source" AI is NOT like software - it's VERY different. Rob Miles cuts through the bullshit: ROB: Oh, hey, Meta. I heard Llama's weights leaked. That's rough, man. Information security's hard. How you holding up? META: Oh, we're great. Yeah, we're fine. We... actually, that was deliberate. We meant to do that. ROB MILES: Oh, really? META: Yeah... well, the second time anyway. It's called open source. Look it up. ROB MILES: Oh. Well, I love free and open source software, but do those principles really apply to network weights? How does that work? META: Open source is good for users because it lets them read the source code and see what the program is really doing and how it works. ROB MILES: Wait, have you found a way to tell how a model works by looking at its weights? META: No. But, it lets developers all over the world spot bugs in the code and submit patches. ROB: Wait, people are fixing bugs in Llama's weights? META: Well, no. People can fine tune it themselves, though. ROB: ?? Other companies offer fine tuning through APIs. ... So, hang on, if you can't actually read the code and know what it's doing, then network weights are effectively a compiled binary. So, in what sense is this open source? Why not call it like public weights? Why call it open source at all? META: I love open source. ROB: Well, I know a lot of your employees do, but you don't love anything. You're a giant corporation. What's in it for you? META: I love, love open source.

AI Notkilleveryoneism Memes ⏸️

107,362 Aufrufe • vor 2 Jahren

🚨ETHEREUM UX IS ABOUT TO 100X YOU ARE NOT READY 🚨 EIP-7702 is about to be shipped! I explain how it works and go through every line of code in the evm (revm) that changes because of it 🤓 No better way to really understand it!

🚨ETHEREUM UX IS ABOUT TO 100X YOU ARE NOT READY 🚨 EIP-7702 is about to be shipped! I explain how it works and go through every line of code in the evm (revm) that changes because of it 🤓 No better way to really understand it!

letsgetonchain

83,118 Aufrufe • vor 1 Jahr

"I understand that inflation's going up and I understand that the Reserve Bank needs to monitor that and keep it under control. I don't think the RBA actually can see a face to a name. I want them to see what a real family looks like and see how it hurts." - Mark Endersby #abc730

"I understand that inflation's going up and I understand that the Reserve Bank needs to monitor that and keep it under control. I don't think the RBA actually can see a face to a name. I want them to see what a real family looks like and see how it hurts." - Mark Endersby #abc730

abc730

235,377 Aufrufe • vor 3 Jahren

This library will blow up for a simple reason: It's the best for building a chatbot that doesn't hallucinate and knows how to answer questions. It's open-source, and it literally takes a few lines of code to run. Check the attached video.

This library will blow up for a simple reason: It's the best for building a chatbot that doesn't hallucinate and knows how to answer questions. It's open-source, and it literally takes a few lines of code to run. Check the attached video.

Santiago

107,840 Aufrufe • vor 10 Monaten

How I Built ThinkAI for my client in 3 Weeks Using + Cursor I didn’t write a single line of code for this MVP. Here’s the exact process I followed to build it, FAST and efficiently.

How I Built ThinkAI for my client in 3 Weeks Using + Cursor I didn’t write a single line of code for this MVP. Here’s the exact process I followed to build it, FAST and efficiently.

Prajwal Tomar

235,107 Aufrufe • vor 1 Jahr

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 Aufrufe • vor 1 Jahr

Hey! So, a few people DM'd me asking how Thunderpick works, how to register, how to deposit and that kind of stuff. I decided to make a brief explanatory video to clarify all those things, enjoy! 👌 And if you like it, you can jump into it!

Hey! So, a few people DM'd me asking how Thunderpick works, how to register, how to deposit and that kind of stuff. I decided to make a brief explanatory video to clarify all those things, enjoy! 👌 And if you like it, you can jump into it!

LEC Miku

89,617 Aufrufe • vor 3 Jahren

How well do you still know your codebase? Had Codex build a little RepoGuessr game where you have to guess which file a certain line of code belongs to. You can try it with open source repos at: 👉

How well do you still know your codebase? Had Codex build a little RepoGuessr game where you have to guess which file a certain line of code belongs to. You can try it with open source repos at: 👉

dominik kundel

32,935 Aufrufe • vor 3 Monaten