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I recreated Meta’s new AI Glasses on my Quest, and the complete source code is available! 👓 Hey everyone! I’ve received a lot of feedback and messages about my latest project, where I used the Quest to recreate the features shown during Meta’s keynote. To answer your questions I...

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Quentin Valembois

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15,977 Aufrufe • vor 9 Monaten •via X (Twitter)

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Here’s a cool project I worked on today: Recreating Meta’s new AR glasses on my Quest. 😎 This project reproduces the new wristband using microgestures to navigate through the UI. I also built my own hand tracking implementation for the pinch and twist mechanism, which controls the volume just like in the keynote. This was pretty fun to do, but also helped me think about how future experiences could be designed for this new device! Next steps: taking picture 📷 and contextual AI ✨!
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Here’s a cool project I worked on today: Recreating Meta’s new AR glasses on my Quest. 😎 This project reproduces the new wristband using microgestures to navigate through the UI. I also built my own hand tracking implementation for the pinch and twist mechanism, which controls the volume just like in the keynote. This was pretty fun to do, but also helped me think about how future experiences could be designed for this new device! Next steps: taking picture 📷 and contextual AI ✨!

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Skills shopping cart for Claude Code In this video I show how I add Railway Skills to a “shopping cart”. After selecting the Skills I need, I copy a single command and they’re added directly to my project. I built to make the composition of Claude Code components as flexible as possible. You can install settings, hooks, subagents, and anything new that gets added to Claude Code will appear on the site. It’s fully open source and community-maintained. If you want to contribute, you’re welcome to fix or update components, download and use the existing ones, or simply support the project by leaving a star on GitHub. Repo:

Daniel San

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I built a mobile app to check Paddle revenue (because they don't have one): 👉 - Use your Paddle API key (read-only and scoped) - Live data with beautiful and useful graphs built with native Swift UI. - Multi-account supported, unified revenue metrics. - Data stay on device, no server (api requests are sent directly from your phone) - Home widgets - I made it free to download on App Store (once it's approved) - Buy the source code for $19 and customize it however you want (save 5hrs of prompting if you try to do it yourself). Some interesting facts about this side project: - I vibe coded with 100% claude code remotely on my Mac Mini (with my AI assistant setup) in less than 24 hours. - I have read 0 line of code in this project and never opened Xcode myself. - My AI assistant designed the app with GPT Image 2, built the app with Swift UI, test it on simulator (via screenshots), send the test build to TestFlight for me to test, and invited me to the app store connect account so I can test on my phone, then the AI submitted the app to App Store and currently waiting for approval. - For the website, I ask it to come up with a domain name, I bought it via manually and give it access via Cloudflare API, the AI design and create a static website with GitHub, test it with lighthouse CLI, deploy via GitHub pages, config the domain DNS, deploy the website. - Then I sign up an account with Polar payment, create an API key and ask the AI to setup a store, add payment, link with the account, and add the payment to the website. The entire process happened in the last 24 hours with me only talking to the AI via Telegram. This is such a fun side project not only to create an app that I wish exists, but also to push the limit of what I can use AI for, and so far I'm very impressed. I'll create so much more apps! It feels like I have unlocked a super power.

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I tested a new coding assistant on 34,568 lines of code. (Cursor could not achieve what this tool did.) AI models are improving every day: - Faster inference - Longer context lengths But are AI coding assistants advancing at the same rate? Can they truly understand your entire project? I tested Augment Code on my ai-engineering repo with ~35k lines of code. Augment Code is a powerful AI Assistant built for developers working with large, evolving codebases—needing an assistant that understands the full context of their projects. In the video demo below, I asked it to: - Merge two projects. - Answer a global context question. Here’s what happened: - It understood dependencies across both projects. - It merged them intelligently—without breaking anything. - It even created a README file for the merged project. - It answered my global query instantly, pulling from the full codebase. This is the difference between AI autocomplete and an AI engineer that truly understands your repo. Augment Code is powerful because it indexes your entire repo upfront. This way, it can answer questions instantly, no matter how large your project is. Lastly, Augment Code is fully compatible with VSCode, JetBrains, Vim, Slack, and more. Try them now, I have shared a link in the next tweet! Thanks to Augment Code for showing me their powerful AI coding assistant and working with me on this post.
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I tested a new coding assistant on 34,568 lines of code. (Cursor could not achieve what this tool did.) AI models are improving every day: - Faster inference - Longer context lengths But are AI coding assistants advancing at the same rate? Can they truly understand your entire project? I tested Augment Code on my ai-engineering repo with ~35k lines of code. Augment Code is a powerful AI Assistant built for developers working with large, evolving codebases—needing an assistant that understands the full context of their projects. In the video demo below, I asked it to: - Merge two projects. - Answer a global context question. Here’s what happened: - It understood dependencies across both projects. - It merged them intelligently—without breaking anything. - It even created a README file for the merged project. - It answered my global query instantly, pulling from the full codebase. This is the difference between AI autocomplete and an AI engineer that truly understands your repo. Augment Code is powerful because it indexes your entire repo upfront. This way, it can answer questions instantly, no matter how large your project is. Lastly, Augment Code is fully compatible with VSCode, JetBrains, Vim, Slack, and more. Try them now, I have shared a link in the next tweet! Thanks to Augment Code for showing me their powerful AI coding assistant and working with me on this post.

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🔥From no-code to vibe code!✨ Excited to announce that I am joining the bolt.new Hackathon and building New Mom. I just vibe coded this website and AI chatbot today without knowing how to code at all! Bolt brought to life the tool I wished for as a new mom. Now, as a mom of four, I see how vital this support is for new mothers.💜 It’s the ultimate website for new moms, packed with resources for the wild, beautiful journey of motherhood. It also has a 24/7 chatbot bestie, NewMom AI, to answer questions, share tips, and keep the good vibes flowing. Let’s empower new moms together! If you’re a mom, a father, a husband, a good friend, a sister, or a brother who knows someone about to become a mom, please share this post and let this tool help all the new moms in this universe. 😉 Thank you, you’re amazing! ✨ Check out my website and share your honest feedback with me! ✨Tagging Eric Simons KP GREG ISENBERG , I would love to hear your thoughts on this idea. 👋Grant Lee, I finally brought this website live with Bolt! I would love to hear your thoughts about the website. inkko , I’d appreciate your feedback on the design. Thank you all! It is my v1. Still lots to do! Next steps: ➡️connect the website to domain ➡️find real users on Pinterest and Instagram and gather feedback ➡️improve the resources on page to show the latest information (thinking of some scraping tool) ➡️improve the chatbot: Enhance training data Personalize responses Improve emotional intelligence Implement a feedback loop (*not sure how to do these, but I will figure it out with AI😉) Questions: Should I allow users to send 10 messages for free, then require sign-up to continue the chat? I want to know the real number of users who find this tool useful. I won’t be submitting another project for this hackathon. I’ll focus on finding users and paid users for this tool. My goal is to help new mom and make money with it!😉 So, you’ll see me posting about New Mom every day from now on. Let’s go!🔥

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I recorded a video on how you can build a complete RAG application without writing any code. I used Langflow, an open-source project that sits on top of Langchain. Langflow hides all the complexity and makes the process 10x easier. This is a step-by-step tutorial.
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I recorded a video on how you can build a complete RAG application without writing any code. I used Langflow, an open-source project that sits on top of Langchain. Langflow hides all the complexity and makes the process 10x easier. This is a step-by-step tutorial.

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Building with AI gets easier every day. Here is an open-source library that makes integrating AI into an application extremely easy: Star the repository! This library alone can make React the best front-end framework out there! There are a bunch of cool things I like about CopilotKit. Here are 3 of them: 1. It allows you to take any -powered agent and bring it into your application. (This is a brand-new feature!) 2. You can build an AI-powered chatbot in your application. The chatbot will have access to your context and can act on the application. 3. You can build a RAG workflow to process and answer questions from a real-time knowledge base. I recorded a video to show you how simple it is to make some of this happen. A few lines of code, and you are in business. Here is a link to the sample application: CopilotKit is open-source. You can self-host it. You can use it with any LLM. Thanks to the team for showing me their tool and collaborating with me on this post!

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I put together some breathtaking clips from Iran and made an AI song that includes some Persian lyrics. It took a lot of effort to make the AI pronounce Persian correctly. It’s my first project, I’m working on a bigger one. I hope Elon will add a music making function to Grok.

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Knowledge graphs for representing information are unbeatable. After this, you will never build a RAG system without knowledge graphs. It will take you five lines of code to build a knowledge graph with your data. I recorded a video to show you how you can do this. I used Cognee, an open-source library that outperforms any basic vector search approach in terms of retrieval relevance. They are collaborating with me on this post. Cognee is: • Easy to use • Reduces hallucinations • Open-source Here is a link to the repository: They also offer a comprehensive platform and UI with Python notebooks you can utilize to manage your data. Here is the link:
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Knowledge graphs for representing information are unbeatable. After this, you will never build a RAG system without knowledge graphs. It will take you five lines of code to build a knowledge graph with your data. I recorded a video to show you how you can do this. I used Cognee, an open-source library that outperforms any basic vector search approach in terms of retrieval relevance. They are collaborating with me on this post. Cognee is: • Easy to use • Reduces hallucinations • Open-source Here is a link to the repository: They also offer a comprehensive platform and UI with Python notebooks you can utilize to manage your data. Here is the link:

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There's so much focus on "how can AI do my work for me?" I think the more important question is "what work can I now do with AI that I would have never attempted before?" Earlier this year I wrote freestiler, a vector tiling engine for R and Python, with the help of Claude and Codex. I knew what the ideal engine looked like and how it would work at a high level. I didn't know how to put it together, and I don't know Rust, the language I wanted under the hood. Previously I would never have attempted this project as the ROI wasn't there. It would have taken me a year or more to learn the internals of a vector tiling engine and enough Rust to implement one. With Opus-level models, I could take it on. freestiler now powers all my vector tiling pipelines, including the map below rendering 143 million jobs from LODES, and it has 114 GitHub stars. Building this way has required a different set of skills. I don't review the code line by line. I set up adversarial agents to do that and write the test suites. What I review is the architecture, the behavior, and the results. Agent teams surface findings and explain their reasoning; I evaluate and critique. My job isn't to stress over code formatting, but instead to focus on questions like whether the engine is designed right, whether the output is correct, and if the UX makes sense. This means that I haven't "replaced my work." I've taken on entirely new work, with the help of agents, that I would have never done otherwise. It has taken some getting used to shipping code I haven't personally typed. In the old way of working, I built understanding through writing that code. Now I build understanding through managing the project - writing a spec, reviewing structure, evaluating UX. And that's helped me think a whole lot bigger in terms of what I can now do.

Kyle Walker

13,396 Aufrufe • vor 10 Tagen

Open-source Flutter + Google AI Dart SDK project alert 🚨 To try out the new Google AI package announced last week, I built a fun AI photo scavenger hunt application over the weekend! The game is simple: - Choose your hunting location - Gemini generates 5 items that you should find there - Take a photo of the item once you find it - The Gemini Vision Pro model will verify it - Get points - Be proud of your final result 🤩 More details, resources, code 👇 P.S. A new YouTube video about the project is coming out this month. Subscribe to my channel so as not to miss it 👀 #GeminiSprint #BuildWithGemini #flutterdev
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Open-source Flutter + Google AI Dart SDK project alert 🚨 To try out the new Google AI package announced last week, I built a fun AI photo scavenger hunt application over the weekend! The game is simple: - Choose your hunting location - Gemini generates 5 items that you should find there - Take a photo of the item once you find it - The Gemini Vision Pro model will verify it - Get points - Be proud of your final result 🤩 More details, resources, code 👇 P.S. A new YouTube video about the project is coming out this month. Subscribe to my channel so as not to miss it 👀 #GeminiSprint #BuildWithGemini #flutterdev

Mangirdas Kazlauskas

18,212 Aufrufe • vor 2 Jahren

After a sea of stars, an ocean full of life ~ Here's the wip of my next VFX project that I wanted to do for way too long. I plan to release it in the future, so I hope you will like this first preview and that you will look forward to seeing this project completed 💙
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After a sea of stars, an ocean full of life ~ Here's the wip of my next VFX project that I wanted to do for way too long. I plan to release it in the future, so I hope you will like this first preview and that you will look forward to seeing this project completed 💙

Zedkiel

13,901 Aufrufe • vor 7 Monaten

🚨 Just dropped my new video on how to build yourself a unified AI infrastructure on Claude Code Code for life and work management... - Why I built it - My system design philosophy - Step-by-step on the different components - How to customize it for your own needs
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ᴅᴀɴɪᴇʟ ᴍɪᴇssʟᴇʀ 🛡️

29,331 Aufrufe • vor 10 Monaten