Code LLaMA is now on Perplexity’s LLaMa Chat! Try... asking it to write a function for you, or explain a code snippet: 🔗 This is the fastest way to try AI at Meta’s latest code-specialized LLM. With our model deployment expertise, we are able to provide you with this model less than 24 hours of it’s release. What’s next? We’ll integrate code LLaMA into Perplexity, all in service of providing you with the best answers to your most technical questions!show more

Introducing LLaMa Chat: The fastest way to chat with... AI at Meta/Meta's Llama2! Try it here: feedback appreciated! This is our first step towards building a blazing-fast LLM inference completely in-house, for everyone to try. What's next? We'll be hooking up the bigger LLAMAs and eventually deploying our own in-house LLMs. All of this in service of building the best and fastest answer engine. Come join us, we're hiring!show more

Today we’re releasing Code Llama, a large language model... built on top of Llama 2, fine-tuned for coding & state-of-the-art for publicly available coding tools. Keeping with our open approach, Code Llama is publicly-available now for both research & commercial use. More ⬇️show more

Tired of manual prompt tweaking? Watch the latest Llama... tutorial on how to optimize your existing GPT or other LLM prompts for Llama with `llama-prompt-ops`, the open-source Python library! In this video, Partner Engineer Justin Lee demonstrates installation, project setup, migrating your first prompt, and analyzing performance gains. Watch now to discover: ✨ Why systematic prompt optimization is crucial for migrating from GPT to Llama. 💻 A live code walkthrough of `llama-prompt-ops` in action for a customer service classification task. Watch the full tutorial here:show more

Sonnet as the main model, Opus as an advisor,... and Haiku for subagents Save this and try it with one of your sessions Install: npx claude-code-templates@latest --setting model/sonnet-opus-advisor-haiku-subagents This command installs the settings required to configure your Claude Code sessions with this model distribution Select the appropriate configuration scope: User, Project, or Localshow more

Cursor - the AI-focused VSCode fork - is mind-blowing.... The ability to reference files and documentation endpoints is absolutely insane. You can chat with your code, generate code, even lint code errors! Best of all - you can just add your own OpenAI token.show more

You can now route each request to the "fastest"... ⚡ or "cheapest" 💸 provider with Hugging Face Inference Providers in Copilot Chat on Visual Studio Code!🤗 For each model, you can explicitly choose "cheapest" when price matters - or "fastest" when throughput is the priority. thanks to Simon Brandeis for shipping this!show more

This isn’t a 3D model file. It’s 100% code... Our world-famous Mars Cat avatar has been reconstructed entirely as Three.js source code No GLB at runtime. No model download. No textures or UV atlas. Just code, rendered directly in the browser It was created with IMG2THREEJS by Nick. An incredible open-source project with over 15,000 stars on GitHub And our Mars Cat is now featured on the home page gallery See it live below ↓. Grab the code. Add it to your game New to Three.js? It’s one of the most popular open-source JavaScript libraries for building interactive 3D experiences and games on the webshow more

🐾 Meet Blobby, the VS Code Pet! Thank you... to everyone who submitted a name and helped us choose our new coding companion. 💙 Want to code with Blobby by your side? Open GitHub Copilot Chat in VS Code and enter: /vscode-pet 🏆 We’ll be reaching out to the contest winners directly with the next steps. Welcome to VS Code, Blobby! 🐾✨show more

My project has 39,205 lines of code, and Cursor... can't answer questions about it. Cursor's context seems to be capped at around 10,000 tokens. Unfortunately, this is not enough for any decent-sized project. If you have a large codebase, check out Augment Code. This thing is faaaast! I'm currently using their Visual Studio Code plugin, but you can also use them on JetBrains, Neovim, and even Vim. (I'm a Neovim fan, but Copilot's implementation for Neovim is nowhere as good as Augment Code.) Augment Code was gracious enough to sponsor this post. After you install their extension and run it for the first time, it will index your entire codebase. This is why it can answer questions as fast as it does, regardless of the size of your codebase. Augment Code supports chat and completions like every other AI coding assistant, but its killer feature is "Next Edit." When you make a change, two things happen: 1. The model analyzes the change to determine the ripple effects across your *entire* codebase. 2. The model suggests everything you need to update to ensure everything works correctly. This is pretty wild!show more

Many of you asked for code & weights for... π₀, we are happy to announce that we are releasing π₀ and pre-trained checkpoints in our new openpi repository! We tested the model on a few public robots, and we include code for you to fine-tune it yourself.show more

one of my favorite ways to use claude code... skills right now - combining remotion with claude-in-chrome for motion video creation. the workflow is addictive. the clip you see here was produced with minimal prompting effort let me know if you would like me to write a full break down of this process. you describe to claude code what you want, claude code writes the remotion components, opens the remotion studio (via browser) with claude-in-chrome, sees the actual rendered output, and iterates on it in real time. need the arrows pointing to the center of the bubbles instead of the edge? just say it. need the layout shifted to the center? say it. claude sees the preview, adjusts the code, re-renders. then when you're happy you tell claude code to render the final video. but skills are what make this possible. remotion knowledge + browser automation + the taste to iterate visually. no copy pasting screenshots back and forth. no "can you try moving it 10px to the right" over chat. it just looks and fixes. this is the kind of workflow that makes you realize how much further claude code can go beyond just writing code in a terminal. i didn't touch any code while working on the clip you see if you haven't tried combining skills together like this - start experimenting. the skills combos is where the magic is at.show more

Announcing Stack Auth Payments! 💸💸 This is the fastest... way to integrate payments into your app, with just a few lines of code. All payment information will be right where it belongs — next to your user data. Sick of split brains? Just create the price plans you want, and we will deal with the billing & webhooks. Usage-based billing is also supported! Lots of love to our open-source contributors, who helped make this happen — especially Moritz, who was invaluable in this project!show more

Code Interpreter in ChatGPT is incredible! Took me 5... mins to make this game. You can make your own game assets with any AI generator and then ask GPT-4 with Code Interpreter to write code. If you have any problems you can ask it to fix the errors. 1. Write this prompt: "write p5.js code for Asteroids where you control a spaceship with the mouse and shoot asteroids with the left click of the mouse. If your spaceship collides with an asteroid, you lose. If you shoot down all asteroids, you win! I want to use my own textures for the spaceship and for asteroids." 2. Go to Openprocessing website create and save sketch (you'll need to save it before uploading any texture files). Copy paste code from GPT-4 3. Generate texture files and remove backgrounds, for example in Clip Drop 4. Replace names of files with your filenames 5. Run the program 6. If something doesn't work ask GPT-4 to fix it (you can copy an error and paste in GPT-4) like you would ask a human programmer 7. To learn a bit of programming write these prompts to GPT-4: "Act as my programming teacher. Tell me an algorithm of Asteroids game in detail and make names of functions and explain what each of these functions will do. Don't write the code just yet." and then " Can you describe the algorithm overall for a 10-year-old child"show more

I’m excited to announce the launch of @Span_Platform’s AI... Code Detector! 🚀 We all know how transformative AI coding assistants have been, but it's still hard to know what's AI vs. not & what impact it's ultimately having on quality, velocity, and security. Now you can with Span—powered by our machine learning model, span-detect-1, which detects AI-generated code with an industry-best 95% accuracy. We can’t wait to see how this helps engineering leaders who want to lead with hard data, not hype. Try it out today—completely free.show more

Those building AI coding agents will eventually hit the... same wall: No matter how smart the model is, the moment you ask it to write production-ready code with the latest libraries, it starts hallucinating. Everyone is building coding agents these days, but most of them run into the same issue: They're coding with outdated documentation. The root cause isn't the model. It's the retrieval layer. If you are building an AI agent that needs information from specific domains such as code, law, academia, and finance Sign up, connect it to your agent, and you'll see the difference immediately.show more

Not relying on a LLM in your code editor?... That doesn't make you smarter. All the opposite actually. You're actively refusing to increase your productivity and buy your time back for the sake of outdated habits. Because at the very least, a LLM helps you write tons of boilerplate/mundane code. If you don't want to pay, there are free alternatives to GitHub Copilot. You have no excuse. Don't be that grumpy developer who thinks being negative about trendy tech is cool.show more