twostraws

Hello @twostraws.bsky.social , having trouble with Project 2 download files. Can't seem to get them to from GitHub - here is where I am looking: github.com/twostraws/HackingWithSwift/tree/main/S… I admit I am quite new to the platform - am I missing where I should download the flag files from?

@drbarnard @mobbin @referodesign Check out this one twostraws/SwiftUI-Agent-Skill

@denrase @query Ah okay I think the sosumi mcp and Paul Hudson’s SwiftData skills can help you here, Sosumi allows agents to browse Apple docs, and I find that Paul’s skills do work greatly in my experience. sosumi.ai twostraws/SwiftData-Agent-Skill

@fromjrtosr @twannl Can you check this skill as well? twostraws/swiftui-agent-skill

Best window switcher (that I don't want you to use) 🙂 Hi, This is a tip-post to all who complain that their favourite apps don't add the features you want. I'm a software dev (26yrs of service 😉) work with software every day (albeit not with swift). I know how difficult it is to make a good app. I also know how difficult it is to keep it alive (supporting users, patching, fixing & updating), not to mention adding more features. That's probably why I never bothered with that (in full-scale scenarios). I also work with AI (since its early days), have "some" understanding how it works and what it can & cannot do. Which is why I mostly skip the vibe-coded "apps". That said, several well-known devs that I follow have recently started making small ai-generated apps for themselves. Improving apps that they were using, or apps that they always wanted but had no time to make. Encouraged with their success, I tried that. Goal: make a modern Contexts replacement. Yes, there are dozens of window switchers, but none of them is fast enough, reliable enough and performant enough. I basically needed Contexts, without the sidebar, and with modern UI. - Firstly, I tried the overhyped reverse-engineering tool. That was a waste of tokens & time. Might as well gave Claude a screenshot. But with lots of "tweaking" I finally got a working prototype. - Then I started tweaking it more. Improving performance, fixing the ugly and bad. - Finally, after several hours of churning, I've got an app! - I've been improving it even more for the past couple of days, but it's already in a better state than most window switchers that I've tried. Is it vibe coded? Maybe. I haven't written a line of code. I have read a bit of what's generated, but I'm not a swift expert. So LGTM 😉 But to me, a vibe coded slop is more like this: "random dude, with no software experience, using 1-shot prompt to make something that works". Or even worse: "slapping a subscription on it". Making my app was an effort, with lots of testing, refactoring, redesigning, lots of back & forth, guiding the development towards my own priorities: fast, performant, small footprint, minimal permissions (only accessibility - no window previews, so no screen recording). And here it is: 3MB app, using ~25MB of RAM, and 0-0.1CPU at idle. Shows up instantly, every time. And looks like it's part of macOS. It's on github and free, but I'm not posting a link, as I really don't want people to use it (PM me if you really want to see it). I'm not planning to support anyone using it 🙂 I only want to encourage you to try and make apps for yourself. With the features you want. It's really easy these days. Claude was able to make the app, launch it, test it, fix it, then release it (on github releases, and homebrew). One thing I can share, that's very helpful when making mac apps is the skill that I used (not mine): SwiftUI Pro.

5 Free GitHub Repos That Take Apart Any Software — Ghidra, Diagram Design, Universal Modder & More Five free, open-source GitHub repos that decompile apps, mod games, draw your diagrams, fix your SwiftUI and stretch your agent's context — how each works, what paid tool it replaces, and where it breaks. Chapters: 0:00 The five 0:17 #5 billion-context 1:06 #4 SwiftUI Agent Skill 1:55 #3 Universal Modder 2:42 #2 Diagram Design 3:29 #1 Ghidra 4:16 The ranking Repos: Ghidra - NationalSecurityAgency/ghidra Diagram Design - cathrynlavery/diagram-design Universal Modder - rehan-remade/universal-modder SwiftUI Agent Skill - twostraws/SwiftUI-Agent-Skill billion-context - ranxianglei/billion-context New free, open-source tools every few days - subscribe. #github #opensource #ai

5 repos que están explotando esta semana en GitHub #shorts Cinco repos de la lista Trending de GitHub de esta semana, y uno sumó 214.837 estrellas en siete días. Los cinco son para tu agente de IA. #01 rea (+214.837 ★ esta semana): tu agente te explica cómo funciona cualquier aplicación por dentro, sin el código. morluto/rea #02 diagram-design (+10.706 ★; 55.809 en seis meses): lo pides en palabras y te dibuja el diagrama con tus colores. cathrynlavery/diagram-design #03 Plugins oficiales de Cursor (+1.155 ★): revisión de código, memoria y agentes en paralelo. cursor/plugins #04 SwiftUI Pro, la skill de Paul Hudson (+930 ★): tu agente escribe SwiftUI moderno. twostraws/SwiftUI-Agent-Skill #05 billion-context (+628 ★): comprime el contexto para que una sola sesión dure un mes. ranxianglei/billion-context Cifras de GitHub Trending (semanal) y de la API de GitHub, consultadas el 15-oct-2026. Lo que hace cada uno sale de su README. Capturas propias. ¿Cuál le instalarías primero al tuyo? #GitHub #AgentesIA #ClaudeCode #Cursor #IA [ar] 5 مستودعات برمجية تحقق انتشاراً واسعاً هذا الأسبوع على GitHub #shorts خمسة مستودعات من قائمة GitHub الرائجة لهذا الأسبوع، وحصد أحدها 214,837 نجمة في سبعة أيام. جميعها مخصصة لوكيل الذكاء الاصطناعي الخاص بك. #01 rea (+214,837 نجمة هذا الأسبوع): يشرح وكيلك كيفية عمل أي تطبيق داخليًا، دون الحاجة إلى قراءة الكود. morluto/rea #02 diagram-design (+10,706 نجمة؛ 55,809 نجمة في ستة أشهر): اطلب منه كتابة المخطط، وسيرسمه لك بألوانك. cathrynlavery/diagram-design #03 Cursor Official Plugins (+1,155 نجمة): مراجعة الكود والذاكرة والوكيل بالتوازي. cursor/plugins #04 SwiftUI Pro، مهارة بول هدسون (+930 نجمة): يكتب وكيلك واجهات SwiftUI حديثة. twostraws/SwiftUI-Agent-Skill #05 billion-context (+628 ★): يضغط السياق بحيث تستمر الجلسة الواحدة لمدة شهر. ranxianglei/billion-context البيانات مأخوذة من GitHub Trending (أسبوعيًا) وواجهة برمجة تطبيقات GitHub، بتاريخ 15 أكتوبر 2026. تجدون وصفًا لوظائف كل أداة في ملف README الخاص بها. الصور المعروضة من تصويري. أيّها ستختار تثبيته أولًا؟ #GitHub #AIAgents #ClaudeCode #Cursor #AI [en-US] 5 repos exploding on GitHub this week #shorts Five repos from this week's GitHub Trending list, and one gained 214,837 stars in seven days. All five are for your AI agent. #01 rea (+214,837 ★ this week): Your agent explains how any application works internally, without the code. morluto/rea #02 diagram-design (+10,706 ★; 55,809 in six months): You ask for it in words, and it draws the diagram in your colors. cathrynlavery/diagram-design #03 Cursor Official Plugins (+1,155 ★): Code, memory, and agent review in parallel. cursor/plugins #04 SwiftUI Pro, Paul Hudson's skill (+930 ★): Your agent writes modern SwiftUI. twostraws/SwiftUI-Agent-Skill #05 billion-context (+628 ★): Compresses context so that a single session lasts for a month. ranxianglei/billion-context Figures from GitHub Trending (weekly) and the GitHub API, accessed on October 15, 2026. Each tool's functionality is described in its README. Screenshots are my own. Which one would you install on yours first? #GitHub #AIAgents #ClaudeCode #Cursor #AI [pt-BR] 5 repos que estão bombando esta semana no GitHub #shorts Cinco repositórios da lista de Tendências do GitHub desta semana, e um deles ganhou 214.837 estrelas em sete dias. Todos os cinco são para o seu agente de IA. #01 rea (+214.837 ★ esta semana): Seu agente explica como qualquer aplicativo funciona internamente, sem o código. morluto/rea #02 diagram-design (+10.706 ★; 55.809 em seis meses): Você pede em palavras e ele desenha o diagrama nas cores que você escolher. cathrynlavery/diagram-design #03 Cursor Official Plugins (+1.155 ★): Revisão de código, memória e agente em paralelo. cursor/plugins #04 SwiftUI Pro, skill de Paul Hudson (+930 ★): Seu agente escreve SwiftUI moderno. twostraws/SwiftUI-Agent-Skill #05 billion-context (+628 ★): Comprime o contexto para que uma única sessão dure um mês. ranxianglei/billion-context Dados do GitHub Trending (semanal) e da API do GitHub, acessados ​​em 15 de outubro de 2026. A funcionalidade de cada ferramenta é descrita em seu README. As capturas de tela são minhas. Qual você instalaria primeiro? #GitHub #AIAgents #ClaudeCode #Cursor #AI

Back after 6 years: my SwiftLeeds 2026 best bits 🎤 Hi! 👋🏻 I'm Andy. It's been over 6 years now since I last wrote on this blog, it baffles me too that it's been that long... When I started writing here I was just a university student who had found iOS development and started doing tons and tons of YouTube tutorials and courses (shoutout to Sean Allen for those). Over time I felt like I learned something and I wanted to share it with others. !My profile picture 📍 Where have I been? After a short while of learning iOS on my own, I wanted to at least see what the real world of work was like so I began spending my free-time at an app agency, this let me see how teams functioned and what a real working environment was like. Off the back of that, I managed to get a placement year during my degree working for Jigsaw which at the time was a dating app based in Manchester. This was my first real insight into what working on a real app was like. I managed to work on and ship my own features, test releases and really feel part of a team. After going back to university and finishing my degree, I then moved on to work for Sky Bet in Leeds. There I worked on the main Sky Bet iOS app each day, building things like the dynamic content system to show different things on the home screen to users and then later became quite a key part in a huge migration to a brand new Sky Bet app which saw us re-do 70% of the app. That was quite a challenge and I definitely wanted to try something new after that experience, so now I'm working at Depop as part of the Better Matching Experience team. Here I get to work daily on improving the experience for our users on the home, discover, search screens and much more. Enough about me anyway... why am I back? Well, I just attended the SwiftLeeds iOS conference for a whopping 6th time. Yes, you read that right, 6th time. It left me with the motivation to share and that's what has led me to revive this blog. So without further ado, here is a little round-up of the conference, my favourite bits and some takeaways. !Boarding pass number six Boarding pass number six. ✈️ --- 🏆 My two favourite talks Delightful Text-Driven Experiences with SwiftUI's TextRenderer (Eli Perkins) Eli works on Particle and showed how SwiftUI's TextRenderer lets you bring your text to life and really delight your users. Eli's talk made me realise that we often think about animating our screens and creating interesting things for our users, but I don't often consider doing the same with the text as well. So how do text renderers work and how do we use one? Well first, to use them you can add the .textRenderer modifier to your text, passing in a renderer. Text("Hello, World!") .textRenderer(Passthrough()) To create a renderer, you conform your struct to the TextRenderer protocol and implement draw(layout:in:). The simplest one just draws every line as normal: struct Passthrough: TextRenderer { func draw(layout: Text.Layout, in context: inout GraphicsContext) { for line in layout { context.draw(line) } } } SwiftUI hands your renderer the text broken into lines, and each line into runs. A run is a chunk of the line that's styled differently from the text around it, so a bold word or an inline icon, for example, ends up in its own run. Inside each run are the glyphs: every letter, space and punctuation mark. !How renderers work You can apply operations like opacity and colour to any of those levels, and group them, much like you would with images. Every TextRenderer is also Animatable, so if you add an animatableData property and animate it, you can reveal text line by line or glyph by glyph. Here's a quick example of that. This renderer fades each glyph in and slides it up into place, one after the other: struct AppearRenderer: TextRenderer { var progress: Double var animatableData: Double { get { progress } set { progress = newValue } } func draw(layout: Text.Layout, in context: inout GraphicsContext) { // Lines → runs → glyphs let glyphs = layout.flatMap { $0 }.flatMap { $0 } let count = Double(glyphs.count) for (index, glyph) in glyphs.enumerated() { let start = Double(index) / count * 0.7 let amount = min(max((progress - start) / 0.3, 0), 1) var copy = context copy.opacity = amount copy.translateBy(x: 0, y: (1 - amount) * 20) copy.draw(glyph) } } } Animate progress from 0 to 1 and you get this: !Example renderer gif > 💡 Tip: Paul Hudson's Prismic is a collection of ready-made renderers to play with. I'm starting there while exploring ways to bring some text renderers to my personal projects and also at work. Building Beyond Mistakes (Frank Solleveld) My favourite talk on day two had no code in it. Frank wasn't even supposed to be doing a talk at the conference but as one of the other speakers fell ill, Frank was ready in the wings to give us his talk. This talk was different from the others. Frank talked about his start with iOS development, how he found the love for building things but as most of us did, he struggled when he had his first real taste of working in a company. I still remember myself the first time I worked on a real app as part of a company and how different that experience was compared to the apps I'd spent my own time building, so I could relate to this part of the talk. Frank took us on a journey, where he talked about his doubts and confidence knocks he had during the early start of his career but then how he managed to really excel and eventually find his way to where he is today. A few things from his talk that I'm taking with me: !Franks tips > 💬 People are just people, even conference speakers. Everyone is just part of the community. This talk really resonated with me, and I think it did for everyone else too, as after speaking to other attendees it seemed to be everyone's favourite of the conference. I'm looking forward to seeing this one published online. --- Some other talks I really enjoyed... 🤖 Working with AI without losing the craft Bringing back the love of Swift (Antoine van der Lee) Antoine opened the conference with this one. This talk hit the mark with everyone in the room, as I think we all ask ourselves quite often if the vast change to our careers due to AI has made us love the code we are writing less. > 💬 Are we losing our love of Swift as we write less of the code ourselves? Antoine raised the concern that developers aren't really taking as many courses anymore. People are even reading fewer articles which doesn't bode well for me beginning to write more on this blog. He also went on to say that developers are exploring code less, but in reality we are shipping more than ever. I can only speak from my own experience but I feel that. I've always been a relatively high-output engineer and I'm a fan of having a few things on the go, but AI has made that a different ball game. The sheer amount of code output I see per week now with AI does mean that we aren't as close to the code we are writing and I know for myself, I'm reading less and exploring less online as a result. This talk made me reflect, and I think the outcome for me is that I want to ground myself more in the technology I'm using every day. Alongside these topics, Antoine shared some tips for working with AI, such as: !Antoines tips He also shared some handy tools: - RocketSim and RocketTrace, a CLI and agent skill for driving the simulator, plus Xcode Instruments for AI agents. - sosumi.ai, Apple's docs (including the Human Interface Guidelines) in a form agents can read. - His post on reducing token usage in Claude Code, Codex and Cursor. Overall, I really enjoyed this one and I think we can all take something from it. From Code to Outcomes (Natalija Marcinska) Natalija (BBC Mobile) closed day one, and her talk felt like a nice follow-on from Antoine's, as it came at AI from the product side. Her point was that AI has made it easier than ever to build the wrong thing really quickly. You can build an amazing technical solution, but if your users don't actually need it then all of that time has been wasted. She talked about how engineers already make product decisions every day, so we should also be asking whether something should be built at all, and that discovery is part of engineering too. The line that stuck with me was this one: > 💬 The best code to delete is the code for a feature that would have wasted months. My takeaways from this one: !Natalija tips --- 🗄️ You might not need a backend yet CloudKit Public Database as a Backend (Danijela Vrzan) Danijela opened day two, and her main advice was to avoid building a backend for as long as possible. So before reaching for one, ask yourself: !CloudKit tips If you do need shared data, the CloudKit Public Database might be the answer. It's managed by Apple, shared across all the users of your app and doesn't need an account system of your own. It's best for static-ish content though, and it isn't the place to store anything sensitive. > ⚠️ Tip: Development and Production are separate environments in CloudKit. Don't forget to deploy your schema changes from Development to Production, and be aware that any records you upload to Development won't be carried across. If you've uploaded lots of data, you'll have to upload it all again. This one got me thinking about my own app. Rather than baking configuration straight into the app, I could use the public database alongside the private one to store key content. Definitely one to explore. --- 📣 Building an audience Building an Audience for Your Apps (Joe Allen) Joe, who makes Teleprompter Pro, closed out the conference. For years Joe slowly built up an email list from within his apps, so when he released something new, he let his audience know and got a huge influx of downloads. His point was that an audience is your unfair advantage: > 💬 Your competitors don't have your audience. The obvious worry is "I don't want to spam my users", and Joe's answer to that was... you could just not spam them. 😄 You do need to think about GDPR when you contact users though, and you shouldn't hold your content or features hostage just to get someone's email address. > 💡 Tip: Register the domains and addresses you send email from in your Apple Developer account (Certificates, Identifiers & Profiles, under Sign in with Apple for Email Communication). Users who Sign in with Apple may be using Private Relay, and without that setup your emails won't reach them. I'd love to think more about how we do this at Depop. For my own apps, I'm keeping things private with no email list, so this blog is going to be my way of building an audience instead. --- ⚡ The quickfire round There were plenty of other great talks too, so here's a quick look at the rest: - Unleash the power of Swift Charts (Francesco Marini). This one was all about making your charts readable and accessible. Check your colour palette with Viz Palette, use a font you know is readable like Lexend or OpenDyslexic, format your legend and axes, and pick the right mark for the job (bar or line?). He also showed TabularData, which is really handy for loading CSV and JSON into a DataFrame. - CarPlay from Zero (Eyad Kelleh & Maurice Pfurr). Eyad and Maurice built Charge a Smile to compare EV charging prices. CarPlay apps are built from Apple's templates rather than custom UI, and the entitlement you request decides which ones you get. - Vapor 5 is actually here (Tim Condon). Vapor 4 has been around since 2020 with over 300 releases, so this is a big one! Vapor 5 focuses on performance, structured concurrency throughout and macro-based routing. The beta is out now and I'm keen to give the macro-based routing a go. - Beyond Boilerplate: Production-Ready Swift Macros (Kevin Morales). Macros are great for stable, repeated patterns, but if the code changes often, or you'd only be saving a few lines, it's probably not worth it. I'm wondering whether there are some custom macros I could use for validation. Sample code here. - Who Let the App Intents Out? (Claire Sivadier). App Intents let your app's actions run from Siri, Shortcuts and Apple Intelligence, and with the new Siri relying on them they're well worth a look. Claire's app Peticle shows them off well. - Why Does Our Swift Code Work? (Yuki Aki). I loved the analogy here: the compiler is the safe road and the runtime is the car driving along it. Yuki walked us through the pipeline from .swift to AST, type-checked AST, raw SIL, canonical SIL, LLVM IR and finally a .o file. It made me think more about how I structure my code, and how much the compiler has to work out in a single expression. - Getting physical: Using Swift for 3D printing (Eric Bariaux). With Cadova you can design 3D-printable models in Swift, SwiftUI-style, and watch them update in real time in CadovaViewer, a bit like a SwiftUI preview. This one is purely for fun, but I'm definitely giving it a go. - Swift Meets Kotlin (Yeskendir Salgara). Trackman shares its Domain and Data layers through Kotlin Multiplatform and keeps the UI and Presentation layers in native Swift, using SKIE to make the bridge between them feel more like Swift. Even if you never use KMP, it's a good reminder that getting your layering right matters in any architecture. --- 🛠️ What I'm going to try So after two days of talks, here's what I'm taking away to try: - Playing around with TextRenderer effects, starting with Prismic - Adding App Intents for the main actions in my own app, and thinking about how I can future-proof it with all the Siri changes coming in - Considering the CloudKit Public Database for storing information that all users can use - Building an audience through this blog (no spam, I promise) - The Vapor 5 beta, and maybe a 3D print designed in Swift - And after Frank's talk, releasing something new in 2026 A lot of these are going to end up in my side project, Second Skin. It's an iOS app for keeping track of your tattoos: the pieces you have, the ideas you're collecting, the sessions you've booked and your aftercare routine. It's built in SwiftUI with no accounts and no servers, as everything syncs through your own iCloud, so Danijela's talk came at a pretty good time. It's still early days, but hopefully this is the something new that Frank's talk pushed me to release. I'll be writing more about building it here, so watch this space! 👀 !Swift Leeds farewell picture Built by humans. A fitting way to close a conference where AI came up in so many of the talks. Thanks to everyone who organised, spoke at and came along to SwiftLeeds this year, it was another great one. See you all at number seven! If you were there, I'd love to hear what your favourite talk was in the comments.

GitHub’s top: Copy any app, create gorgeous videos, 3d print anything & more Resources: thenextnewthing.ai Presented by Zapier: zapier.com Andrew Warner and Adam explore AI tools that copy apps, reverse-engineer software, create videos and diagrams, and build custom apps and 3D designs. Andrew Warner and Adam break down this week’s top GitHub repos, including REA for reverse engineering apps, Matt Pocock’s developer skills, Hyperframes for AI-generated videos, and Ghidra, the NSA’s decompiler. They also explore tools for creating branded diagrams, extending AI coding sessions with compressed context, generating 3D-printable designs with Text to CAD, improving SwiftUI development, and tracking workouts with an open-source gym app. The big takeaway: AI agents are making powerful developer tools more accessible, while specialized tools still offer greater control, better workflows, and more customization. Repos featured: 1. rea: morluto/rea 2. AnyPS5: boykopovar/AnyPS5 3. Skills by Matt Pocock: mattpocock/skills 4. HyperFrames: heygen-com/hyperframes 5. Diagram Design: cathrynlavery/diagram-design 6. Ghidra: NationalSecurityAgency/ghidra 7. Billion Context: ranxianglei/billion-context 8. Text to CAD: earthtojake/text-to-cad 9. SwiftUI Agent Skill: twostraws/SwiftUI-Agent-Skill 10. openGym: DuarteSantos8/openGym Timestamps: 00:00 - Top GitHub Repos: Apps, AI Videos & Diagrams 00:21 - REA: Copy Apps with AI Agents 03:27 - REA Demo: Rebuilding the 2048 Game 05:11 - PS5 Game Files: Reverse Engineering Without an Emulator 06:29 - Matt Pocock's Skills: Better AI Coding with TDD 09:32 - Why Developers Use Battle-Tested Skills 09:42 - Zapier: Supporting AI Builders 10:10 - Hyperframes: Turn Webpages into Videos 11:41 - Hyperframes Demo: Generate a YouTube Short 12:46 - Branded Diagrams: Create Clean, Custom Visuals 14:40 - Ghidra: The NSA's Decompiler Meets AI Agents 16:07 - REA + Ghidra: Making Reverse Engineering Easier 17:00 - Billion Context: Extend AI Coding Sessions 18:15 - Why Compressed AI Context Can Lose Details 20:31 - Text to CAD: Generate 3D-Printable Designs 21:46 - AI + 3D Printing: Build and Refine Products 23:09 - SwiftUI Agent Skill: Give AI Better Documentation 24:18 - Gym Tracker You Own: An Open-Source Fitness App 25:04 - Why Open-Source Apps Can Beat Ad-Driven Alternatives 26:04 - The Goal: 100,000 Subscribers 👉 Media/Sponsorship Inquiries: thenextnewthing.ai 👉 Join us: thenextnewthing.ai [de-DE] GitHub-Highlights: Beliebige Apps kopieren, beeindruckende Videos erstellen, alles in 3D drucken ... Ressourcen: thenextnewthing.ai Präsentiert von Zapier: zapier.com Andrew Warner und Adam erkunden KI-Tools zum Kopieren von Apps, Reverse Engineering von Software, Erstellen von Videos und Diagrammen sowie zum Entwickeln von benutzerdefinierten Apps und 3D-Designs. Andrew Warner und Adam analysieren die Top-GitHub-Repos dieser Woche, darunter REA für Reverse Engineering von Apps, Matt Pococks Entwicklerfähigkeiten, Hyperframes für KI-generierte Videos und Ghidra, den Dekompiler der NSA. Sie stellen außerdem Tools zur Erstellung von gebrandeten Diagrammen, zur Erweiterung von KI-Codierungssitzungen mit komprimiertem Kontext, zur Generierung von 3D-druckbaren Designs mit Text-to-CAD, zur Verbesserung der SwiftUI-Entwicklung und zum Tracking von Workouts mit einer Open-Source-Fitness-App vor. Fazit: KI-Agenten machen leistungsstarke Entwicklertools zugänglicher, während spezialisierte Tools weiterhin mehr Kontrolle, bessere Workflows und mehr Anpassungsmöglichkeiten bieten. Empfohlene Repositories: 1. rea: morluto/rea 2. AnyPS5: boykopovar/AnyPS5 3. Skills by Matt Pocock: mattpocock/skills 4. HyperFrames: heygen-com/hyperframes 5. Diagram Design: cathrynlavery/diagram-design 6. Ghidra: NationalSecurityAgency/ghidra 7. Billion Context: ranxianglei/billion-context 8. Text to CAD: earthtojake/text-to-cad 9. SwiftUI Agent Skill: twostraws/SwiftUI-Agent-Skill 10. openGym: DuarteSantos8/openGym Zeitstempel: 00:00 – Top-GitHub-Repos: Apps, KI-Videos & Diagramme 00:21 – REA: Apps mit KI-Agenten kopieren 03:27 – REA-Demo: Das Spiel 2048 neu erstellen 05:11 – PS5-Spieldateien: Reverse Engineering ohne Emulator 06:29 – Matt Pococks Fähigkeiten: Bessere KI-Programmierung mit TDD 09:32 – Warum Entwickler auf bewährte Fähigkeiten setzen 09:42 – Zapier: Unterstützung für KI-Entwickler 10:10 – Hyperframes: Webseiten in Videos verwandeln 11:41 – Hyperframes-Demo: Einen YouTube-Kurzfilm erstellen 12:46 – Branded Diagrams: Klare, individuelle Visualisierungen erstellen 14:40 – Ghidra: Der Dekompiler der NSA trifft auf KI-Agenten 16:07 – REA + Ghidra: Reverse Engineering vereinfachen 17:00 – Milliarden Kontext: KI-Codierungssitzungen verlängern 18:15 – Warum komprimierter KI-Kontext Details verlieren kann 20:31 – Text zu CAD: 3D-druckbare Designs generieren 21:46 – KI + 3D-Druck: Produkte entwickeln und optimieren 23:09 – SwiftUI Agent Skill: KI besser dokumentieren 24:18 – Dein eigener Fitness-Tracker: Eine Open-Source-Fitness-App 25:04 – Warum Open-Source-Apps werbefinanzierte Alternativen übertreffen können 26:04 – Das Ziel: 100.000 Abonnenten 👉 Medien-/Sponsoringanfragen: thenextnewthing.ai 👉 Werde Teil unseres Teams: thenextnewthing.ai [es-US] Lo mejor de GitHub: Copia cualquier app, crea videos increíbles, imprime cualquier cosa en 3D y más Recursos: thenextnewthing.ai Presentado por Zapier: zapier.com Andrew Warner y Adam exploran herramientas de IA para copiar aplicaciones, realizar ingeniería inversa de software, crear vídeos y diagramas, y desarrollar aplicaciones personalizadas y diseños 3D. Andrew Warner y Adam analizan los principales repositorios de GitHub de esta semana, incluyendo REA para ingeniería inversa de aplicaciones, las habilidades de desarrollo de Matt Pocock, Hyperframes para vídeos generados por IA y Ghidra, el descompilador de la NSA. También exploran herramientas para crear diagramas personalizados, extender sesiones de codificación de IA con contexto comprimido, generar diseños imprimibles en 3D con Text to CAD, mejorar el desarrollo de SwiftUI y registrar entrenamientos con una aplicación de gimnasio de código abierto. La conclusión principal: los agentes de IA están haciendo que las potentes herramientas de desarrollo sean más accesibles, mientras que las herramientas especializadas siguen ofreciendo mayor control, mejores flujos de trabajo y más opciones de personalización. Repositorios destacados: 1. rea: morluto/rea 2. AnyPS5: boykopovar/AnyPS5 3. Habilidades de Matt Pocock: mattpocock/skills 4. HyperFrames: heygen-com/hyperframes 5. Diseño de diagramas: cathrynlavery/diagram-design 6. Ghidra: NationalSecurityAgency/ghidra 7. Billion Context: ranxianglei/billion-context 8. Texto a CAD: earthtojake/text-to-cad 9. Habilidad de agente de SwiftUI: twostraws/SwiftUI-Agent-Skill 10. openGym: DuarteSantos8/openGym Marcas de tiempo: 00:00 - Principales repositorios de GitHub: Aplicaciones, vídeos y diagramas de IA 00:21 - REA: Copiar aplicaciones con agentes de IA 03:27 - Demo de REA: Reconstruyendo el juego 2048 05:11 - Archivos de juegos de PS5: Ingeniería inversa sin emulador 06:29 - Habilidades de Matt Pocock: Mejor programación de IA con TDD 09:32 - Por qué los desarrolladores usan habilidades probadas 09:42 - Zapier: Apoyando a los creadores de IA 10:10 - Hyperframes: Convierte páginas web en vídeos 11:41 - Demo de Hyperframes: Genera un vídeo corto de YouTube 12:46 - Diagramas personalizados: Crea elementos visuales limpios y personalizados 14:40 - Ghidra: El descompilador de la NSA se une a los agentes de IA 16:07 - REA + Ghidra: Facilitando la ingeniería inversa 17:00 - Contexto de mil millones: Ampliando las sesiones de codificación de IA 18:15 - Por qué el contexto de IA comprimido puede perder detalles 20:31 - Texto a CAD: Generando diseños para impresión 3D 21:46 - IA + Impresión 3D: Creando y perfeccionando productos 23:09 - Habilidad de agente SwiftUI: Mejorando la documentación de la IA 24:18 - Tu propio monitor de actividad física: Una aplicación de fitness de código abierto 25:04 - Por qué las aplicaciones de código abierto pueden superar a las alternativas con publicidad 26:04 - El objetivo: 100.000 suscriptores 👉 Consultas de prensa/patrocinio: thenextnewthing.ai 👉 Únete: thenextnewthing.ai [fr-FR] Le top de GitHub : Copiez n'importe quelle application, créez des vidéos sublimes, imprimez tout ... Ressources : thenextnewthing.ai Présenté par Zapier : zapier.com Andrew Warner et Adam explorent des outils d’IA permettant de copier des applications, de procéder à une ingénierie inverse de logiciels, de créer des vidéos et des diagrammes, et de concevoir des applications personnalisées et des modèles 3D. Andrew Warner et Adam analysent les principaux dépôts GitHub de la semaine, notamment REA pour l’ingénierie inverse d’applications, les compétences de développeur de Matt Pocock, Hyperframes pour les vidéos générées par l’IA et Ghidra, le décompilateur de la NSA. Ils explorent également des outils pour créer des diagrammes personnalisés, enrichir les sessions de programmation IA avec un contexte compressé, générer des modèles imprimables en 3D avec Text to CAD, améliorer le développement SwiftUI et suivre ses entraînements avec une application de fitness open source. Conclusion : les agents d’IA rendent les outils de développement puissants plus accessibles, tandis que les outils spécialisés offrent toujours un meilleur contrôle, des flux de travail optimisés et une personnalisation accrue. Dépôts présentés : 1. rea : morluto/rea 2. AnyPS5 : boykopovar/AnyPS5 3. Skills by Matt Pocock : mattpocock/skills 4. HyperFrames : heygen-com/hyperframes 5. Diagram Design : cathrynlavery/diagram-design 6. Ghidra : NationalSecurityAgency/ghidra 7. Billion Context : ranxianglei/billion-context 8. Text to CAD : earthtojake/text-to-cad 9. SwiftUI Agent Skill : twostraws/SwiftUI-Agent-Skill 10. openGym DuarteSantos8/openGym Horodatage : 00:00 - Meilleurs dépôts GitHub : Applications, vidéos et diagrammes d'IA 00:21 - REA : Copier des applications avec des agents d'IA 03:27 - Démo REA : Recréer le jeu 2048 05:11 - Fichiers de jeu PS5 : Rétro-ingénierie sans émulateur 06:29 - Les compétences de Matt Pocock : Améliorer la programmation d'IA grâce au TDD 09:32 - Pourquoi les développeurs utilisent des compétences éprouvées au combat 09:42 - Zapier : Accompagner les créateurs d'IA 10:10 - Hyperframes : Transformer des pages web en vidéos 11:41 - Démo Hyperframes : Générer une vidéo courte pour YouTube 12:46 - Diagrammes personnalisés : Créer des visuels clairs et personnalisés 14:40 - Ghidra : Quand le décompilateur de la NSA rencontre l'IA Agents 16:07 - REA + Ghidra : Simplifier la rétro-ingénierie 17:00 - Contexte d'un milliard : Prolonger les sessions de programmation IA 18:15 - Pourquoi le contexte IA compressé peut entraîner une perte de détails 20:31 - Texte vers CAO : Générer des conceptions imprimables en 3D 21:46 - IA + Impression 3D : Concevoir et perfectionner des produits 23:09 - Compétence d'agent SwiftUI : Améliorer la documentation de l'IA 24:18 - Suivi d'activité physique : Une application de fitness open source 25:04 - Pourquoi les applications open source peuvent surpasser les alternatives financées par la publicité 26:04 - Objectif : 100 000 abonnés 👉 Demandes médias/parrainage : thenextnewthing.ai 👉 Rejoignez-nous : thenextnewthing.ai [hi] GitHub के टॉप: किसी भी ऐप को कॉपी करें, शानदार वीडियो बनाएं, कुछ भी 3D प्रिंट करें और बहुत कुछ संसाधन: thenextnewthing.ai प्रस्तुतिकर्ता: Zapier: zapier.com एंड्रयू वार्नर और एडम उन AI टूल्स का विश्लेषण करते हैं जो ऐप्स की कॉपी बनाते हैं, सॉफ्टवेयर की रिवर्स इंजीनियरिंग करते हैं, वीडियो और डायग्राम बनाते हैं, और कस्टम ऐप्स और 3D डिज़ाइन तैयार करते हैं। एंड्रयू वार्नर और एडम इस सप्ताह के शीर्ष GitHub रिपॉजिटरी का विस्तृत विवरण देते हैं, जिनमें ऐप्स की रिवर्स इंजीनियरिंग के लिए REA, मैट पोकॉक के डेवलपर कौशल, AI द्वारा निर्मित वीडियो के लिए हाइपरफ्रेम्स और NSA के डीकंपाइलर Ghidra शामिल हैं। वे ब्रांडेड डायग्राम बनाने, संपीड़ित संदर्भ के साथ AI कोडिंग सत्रों को विस्तारित करने, टेक्स्ट टू CAD के साथ 3D प्रिंट करने योग्य डिज़ाइन तैयार करने, SwiftUI डेवलपमेंट को बेहतर बनाने और ओपन-सोर्स जिम ऐप के साथ वर्कआउट को ट्रैक करने के टूल्स का भी विश्लेषण करते हैं। मुख्य निष्कर्ष: AI एजेंट शक्तिशाली डेवलपर टूल्स को अधिक सुलभ बना रहे हैं, जबकि विशेष टूल्स अभी भी बेहतर नियंत्रण, बेहतर वर्कफ़्लो और अधिक अनुकूलन प्रदान करते हैं। प्रदर्शित रिपॉजिटरी: 1. rea: morluto/rea 2. AnyPS5: boykopovar/AnyPS5 3. Skills by Matt Pocock: mattpocock/skills 4. HyperFrames: heygen-com/hyperframes 5. Diagram Design: cathrynlavery/diagram-design 6. Ghidra: NationalSecurityAgency/ghidra 7. Billion Context: ranxianglei/billion-context 8. Text to CAD: earthtojake/text-to-cad 9. SwiftUI Agent Skill: twostraws/SwiftUI-Agent-Skill 10. openGym: DuarteSantos8/openGym टाइमस्टैम्प: 00:00 - टॉप GitHub रिपॉज़िटरी: ऐप्स, AI वीडियो और डायग्राम 00:21 - REA: AI एजेंट के साथ ऐप्स कॉपी करें 03:27 - REA डेमो: 2048 गेम को रीबिल्ड करना 05:11 - PS5 गेम फ़ाइलें: एमुलेटर के बिना रिवर्स इंजीनियरिंग 06:29 - मैट पोकॉक के कौशल: TDD के साथ बेहतर AI कोडिंग 09:32 - डेवलपर्स क्यों आजमाए हुए कौशल का उपयोग करते हैं 09:42 - Zapier: AI बिल्डर्स को सपोर्ट करना 10:10 - हाइपरफ्रेम: वेबपेज को वीडियो में बदलें 11:41 - हाइपरफ्रेम डेमो: एक YouTube शॉर्ट बनाएं 12:46 - ब्रांडेड डायग्राम: साफ़, कस्टम विज़ुअल बनाएं 14:40 - Ghidra: NSA का डीकंपाइलर AI एजेंट से मिलता है 16:07 - REA + Ghidra: रिवर्स इंजीनियरिंग को आसान बनाना 17:00 - बिलियन कॉन्टेक्स्ट: AI कोडिंग सेशन को विस्तारित करना 18:15 - संपीड़ित AI कॉन्टेक्स्ट में विवरण क्यों खो सकते हैं 20:31 - टेक्स्ट से CAD: 3D प्रिंट करने योग्य डिज़ाइन तैयार करना 21:46 - AI + 3D प्रिंटिंग: उत्पाद बनाना और परिष्कृत करना 23:09 - SwiftUI एजेंट स्किल: AI को बेहतर दस्तावेज़ीकरण प्रदान करना 24:18 - आपका अपना जिम ट्रैकर: एक ओपन-सोर्स फिटनेस ऐप 25:04 - ओपन-सोर्स ऐप्स विज्ञापन-आधारित विकल्पों को कैसे मात दे सकते हैं 26:04 - लक्ष्य: 100,000 सब्सक्राइबर 👉 मीडिया/प्रायोजन संबंधी पूछताछ: thenextnewthing.ai 👉 हमसे जुड़ें: thenextnewthing.ai [id] Top GitHub: Salin aplikasi apa pun, buat video yang memukau, cetak 3D apa pun & lainnya Sumber daya: thenextnewthing.ai Dipersembahkan oleh Zapier: zapier.com Andrew Warner dan Adam mengeksplorasi alat AI yang menyalin aplikasi, merekayasa balik perangkat lunak, membuat video dan diagram, serta membangun aplikasi khusus dan desain 3D. Andrew Warner dan Adam membahas repositori GitHub teratas minggu ini, termasuk REA untuk merekayasa balik aplikasi, keterampilan pengembang Matt Pocock, Hyperframes untuk video yang dihasilkan AI, dan Ghidra, dekompiler NSA. Mereka juga mengeksplorasi alat untuk membuat diagram bermerek, memperluas sesi pengkodean AI dengan konteks terkompresi, menghasilkan desain yang dapat dicetak 3D dengan Text to CAD, meningkatkan pengembangan SwiftUI, dan melacak latihan dengan aplikasi gym sumber terbuka. Kesimpulan utamanya: agen AI membuat alat pengembang yang canggih lebih mudah diakses, sementara alat khusus masih menawarkan kontrol yang lebih besar, alur kerja yang lebih baik, dan lebih banyak penyesuaian. Repositori yang ditampilkan: 1. rea: morluto/rea 2. AnyPS5: boykopovar/AnyPS5 3. Skills by Matt Pocock: mattpocock/skills 4. HyperFrames: heygen-com/hyperframes 5. Diagram Design: cathrynlavery/diagram-design 6. Ghidra: NationalSecurityAgency/ghidra 7. Billion Context: ranxianglei/billion-context 8. Text to CAD: earthtojake/text-to-cad 9. SwiftUI Agent Skill: twostraws/SwiftUI-Agent-Skill 10. openGym: DuarteSantos8/openGym Cap waktu: 00:00 - Repositori GitHub Teratas: Aplikasi, Video AI & Diagram 00:21 - REA: Menyalin Aplikasi dengan Agen AI 03:27 - Demo REA: Membangun Kembali Game 2048 05:11 - File Game PS5: Rekayasa Balik Tanpa Emulator 06:29 - Keterampilan Matt Pocock: Pengkodean AI yang Lebih Baik dengan TDD 09:32 - Mengapa Pengembang Menggunakan Keterampilan yang Teruji di Medan Perang 09:42 - Zapier: Mendukung Pembuat AI 10:10 - Hyperframes: Mengubah Halaman Web menjadi Video 11:41 - Demo Hyperframes: Menghasilkan Video Pendek YouTube 12:46 - Branded Diagrams: Membuat Visual Kustom yang Bersih 14:40 - Ghidra: Dekompiler NSA Bertemu Agen AI 16:07 - REA + Ghidra: Melakukan Rekayasa Balik Lebih Mudah 17:00 - Konteks Miliaran: Memperpanjang Sesi Pengkodean AI 18:15 - Mengapa Konteks AI Terkompresi Dapat Kehilangan Detail 20:31 - Teks ke CAD: Menghasilkan Desain yang Dapat Dicetak 3D 21:46 - AI + Pencetakan 3D: Membangun dan Memperbaiki Produk 23:09 - Keterampilan Agen SwiftUI: Memberikan Dokumentasi yang Lebih Baik untuk AI 24:18 - Pelacak Gym yang Anda Miliki: Aplikasi Kebugaran Sumber Terbuka 25:04 - Mengapa Aplikasi Sumber Terbuka Dapat Mengalahkan Alternatif Berbasis Iklan 26:04 - Tujuan: 100.000 Pelanggan 👉 Pertanyaan Media/Sponsor: thenextnewthing.ai 👉 Bergabunglah dengan kami: thenextnewthing.ai [it] I migliori progetti di GitHub: copia qualsiasi app, crea video spettacolari, stampa in 3D qualsia... Risorse: thenextnewthing.ai Presentato da Zapier: zapier.com Andrew Warner e Adam esplorano strumenti di intelligenza artificiale per copiare app, eseguire il reverse engineering di software, creare video e diagrammi e realizzare app personalizzate e progetti 3D. Andrew Warner e Adam analizzano i migliori repository GitHub di questa settimana, tra cui REA per il reverse engineering di app, le competenze di sviluppo di Matt Pocock, Hyperframes per video generati dall'IA e Ghidra, il decompilatore della NSA. Esplorano anche strumenti per creare diagrammi personalizzati, estendere le sessioni di programmazione IA con il contesto compresso, generare progetti stampabili in 3D con Text to CAD, migliorare lo sviluppo con SwiftUI e monitorare gli allenamenti con un'app open source per la palestra. Il messaggio principale: gli agenti IA stanno rendendo più accessibili potenti strumenti di sviluppo, mentre gli strumenti specializzati offrono ancora maggiore controllo, flussi di lavoro migliori e maggiori possibilità di personalizzazione. Repository in evidenza: 1. rea: morluto/rea 2. AnyPS5: boykopovar/AnyPS5 3. Skills by Matt Pocock: mattpocock/skills 4. HyperFrames: heygen-com/hyperframes 5. Diagram Design: cathrynlavery/diagram-design 6. Ghidra: NationalSecurityAgency/ghidra 7. Billion Context: ranxianglei/billion-context 8. Text to CAD: earthtojake/text-to-cad 9. SwiftUI Agent Skill: twostraws/SwiftUI-Agent-Skill 10. openGym: Italiano: DuarteSantos8/openGym Timestamp: 00:00 - I migliori repository GitHub: app, video e diagrammi sull'IA 00:21 - REA: copiare app con agenti IA 03:27 - Demo di REA: ricostruire il gioco 2048 05:11 - File di gioco PS5: reverse engineering senza emulatore 06:29 - Le competenze di Matt Pocock: migliorare la programmazione IA con TDD 09:32 - Perché gli sviluppatori utilizzano competenze collaudate 09:42 - Zapier: supporto per i creatori di IA 10:10 - Hyperframes: trasformare le pagine web in video 11:41 - Demo di Hyperframes: generare un breve video per YouTube 12:46 - Diagrammi personalizzati: creare elementi visivi puliti e personalizzati 14:40 - Ghidra: il decompiler della NSA incontra gli agenti IA 16:07 - REA + Ghidra: Semplificare il reverse engineering 17:00 - Billion Context: Estendere le sessioni di programmazione AI 18:15 - Perché il contesto AI compresso può perdere dettagli 20:31 - Da testo a CAD: Generare progetti stampabili in 3D 21:46 - AI + Stampa 3D: Creare e perfezionare prodotti 23:09 - SwiftUI Agent Skill: Fornire all'AI una documentazione migliore 24:18 - Gym Tracker You Own: Un'app fitness open source 25:04 - Perché le app open source possono battere le alternative basate sulla pubblicità 26:04 - L'obiettivo: 100.000 iscritti 👉 Richieste media/sponsorizzazioni: thenextnewthing.ai 👉 Unisciti a noi: thenextnewthing.ai [pt-BR] Os melhores do GitHub: copie qualquer app, crie vídeos incríveis, imprima qualquer coisa em 3D e ... Recursos: thenextnewthing.ai Apresentado por Zapier: zapier.com Andrew Warner e Adam exploram ferramentas de IA que copiam aplicativos, fazem engenharia reversa de software, criam vídeos e diagramas e desenvolvem aplicativos personalizados e designs 3D. Andrew Warner e Adam analisam os principais repositórios do GitHub desta semana, incluindo o REA para engenharia reversa de aplicativos, as habilidades de desenvolvimento de Matt Pocock, o Hyperframes para vídeos gerados por IA e o Ghidra, o descompilador da NSA. Eles também exploram ferramentas para criar diagramas personalizados, estender sessões de codificação de IA com contexto compactado, gerar designs imprimíveis em 3D com o Text to CAD, aprimorar o desenvolvimento em SwiftUI e monitorar exercícios com um aplicativo de academia de código aberto. A principal conclusão: os agentes de IA estão tornando as poderosas ferramentas de desenvolvimento mais acessíveis, enquanto as ferramentas especializadas ainda oferecem maior controle, melhores fluxos de trabalho e mais opções de personalização. Andrew Warner e Adam analisam os principais repositórios do GitHub desta semana, incluindo o REA para engenharia reversa de aplicativos, as ferramentas especializadas para desenvolvimento de software, o Hyperframes para vídeos gerados por IA e o Ghidra, o descompilador da NSA. Eles também exploram ferramentas para criar diagramas personalizados, estender sessões de codificação de IA com contexto compactado, gerar designs imprimíveis em 3D com o Text to CAD, aprimorar o desenvolvimento em SwiftUI e monitorar exercícios com um aplicativo de academia de código aberto. A principal conclusão: os agentes de IA estão tornando as ferramentas de desenvolvimento mais acessíveis, enquanto as ferramentas especializadas ainda oferecem maior controle, melhores fluxos de trabalho e mais opções de personalização. Andrew Warner e Adam analisam os principais repositórios do GitHub desta semana. Repositórios em destaque: 1. rea: morluto/rea 2. AnyPS5: boykopovar/AnyPS5 3. Skills by Matt Pocock: mattpocock/skills 4. HyperFrames: heygen-com/hyperframes 5. Diagram Design: cathrynlavery/diagram-design 6. Ghidra: NationalSecurityAgency/ghidra 7. Billion Context: ranxianglei/billion-context 8. Text to CAD: earthtojake/text-to-cad 9. SwiftUI Agent Skill: twostraws/SwiftUI-Agent-Skill 10. openGym: DuarteSantos8/openGym Marcadores de tempo: 00:00 - Principais repositórios do GitHub: Aplicativos, vídeos de IA e diagramas 00:21 - REA: Copie aplicativos com agentes de IA 03:27 - Demonstração do REA: Reconstruindo o jogo 2048 05:11 - Arquivos de jogos do PS5: Engenharia reversa sem um emulador 06:29 - Habilidades de Matt Pocock: Melhor programação de IA com TDD 09:32 - Por que os desenvolvedores usam habilidades testadas e aprovadas 09:42 - Zapier: Apoiando criadores de IA 10:10 - Hyperframes: Transforme páginas da web em vídeos 11:41 - Demonstração do Hyperframes: Gere um curta para o YouTube 12:46 - Branded Diagrams: Crie visuais limpos e personalizados 14:40 - Ghidra: O descompilador da NSA encontra agentes de IA 16:07 - REA + Ghidra: Facilitando a Engenharia Reversa 17:00 - Billion Context: Estenda as Sessões de Programação de IA 18:15 - Por que o Contexto de IA Comprimido Pode Perder Detalhes 20:31 - Texto para CAD: Gere Projetos Imprimíveis em 3D 21:46 - IA + Impressão 3D: Construa e Aprimore Produtos 23:09 - Habilidade de Agente SwiftUI: Dê à IA uma Documentação Melhor 24:18 - Gym Tracker Seu: Um Aplicativo de Fitness de Código Aberto 25:04 - Por que Aplicativos de Código Aberto Podem Superar Alternativas Baseadas em Anúncios 26:04 - A Meta: 100.000 Inscritos 👉 Consultas de Mídia/Patrocínio: thenextnewthing.ai 👉 Junte-se a nós: thenextnewthing.ai

GitHub Trending — Weekly, 2026-10-16 GitHub Trending for the week of October ninth through October sixteenth. The source list contains eleven repositories, and this episode follows the leading ten. Agent-oriented projects set the strongest pattern, spanning reverse engineering, reusable skills and plugins, and tools that turn instructions into concrete creative or engineering outputs. Chapters 00:00 Headline 00:43 morluto/rea 01:19 boykopovar/AnyPS5 01:47 mattpocock/skills 02:23 cathrynlavery/diagram-design 02:52 NationalSecurityAgency/ghidra 03:26 heygen-com/hyperframes 03:54 DuarteSantos8/openGym 04:16 earthtojake/text-to-cad 04:38 cursor/plugins 04:59 twostraws/SwiftUI-Agent-Skill 05:20 Trending Technologies and Themes 06:25 Takeaway 06:53 Sources Repositories 1. morluto/rea morluto/rea 2. boykopovar/AnyPS5 boykopovar/AnyPS5 3. mattpocock/skills mattpocock/skills 4. cathrynlavery/diagram-design cathrynlavery/diagram-design 5. NationalSecurityAgency/ghidra NationalSecurityAgency/ghidra 6. heygen-com/hyperframes heygen-com/hyperframes 7. DuarteSantos8/openGym DuarteSantos8/openGym 8. earthtojake/text-to-cad earthtojake/text-to-cad 9. cursor/plugins cursor/plugins 10. twostraws/SwiftUI-Agent-Skill twostraws/SwiftUI-Agent-Skill #github #opensource #technology