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[Update] BOTWRecompAndroid 0.2.12-beta — Touch Controls Overhaul UPDATE — 0.3.0-beta is out! New for Mali and Xclipse GPUs: shared game memory (experimental). Until now, phones without the required Vulkan extension (most Mali and Xclipse devices) had the game’s memory copied to the GPU every frame. This is the main reason they run slower. 0.3.0 adds a new option under Settings (start screen) → Driver compatibility → Game memory through a shared file. With it on, the game’s memory is shared with the GPU instead of copied, which could make a big difference. It’s off by default and hasn’t been tested on a Mali or Xclipse device yet, so if you have one, please try it and tell me how it goes. If the game draws incorrectly, runs slower or closes, just turn it off again. It needs 8 GB of RAM or more. This release also fixes crashes and freezes on Mali after 30+ minutes of play. The app’s memory tracking hit an Android limit on long sessions. It now resets before reaching it. Other highlights: - New 40 / 45 FPS option under Video → Frame rate. It picks the rate your screen can show evenly: 40 FPS on 120 Hz screens, 45 on 90 Hz screens. - Smoother 30 FPS on 60 Hz screens, with no more hidden 50 / 16.7 ms judder (thanks to Propinbo). - Fast travel looks right again: Link breaks up into light instead of turning flat blue (also thanks to Propinbo). - Fixes for slower phones that dropped to ~20 FPS at 30 FPS since 0.2.9. - New touch controls: an arrow picker while the bow is drawn and an album button with the camera rune. A double-tap on the minimap now opens the map, so stray touches don’t. - Unlocked aspect ratio fixes for the scope and camera frames, the stable’s windows and the loading screens. - New Driver variables field for advanced driver settings. The project is still in beta and known issues remain. You can install 0.3.0-beta over any 0.2.x version without rebuilding the game code. No game files are included. Download and full 0.3.0-beta notes: github.com/mamcjr/BOTWRecompAndroid/releases/tag/… Original 0.2.12-beta announcement: I’ve released BOTWRecompAndroid 0.2.12-beta, with a major redesign of the touch controls. Touch Controls Overhaul replaces button labels with action icons while you’re exploring the world. The weapon, bow, shield and rune icons follow what’s selected in the game. The title and pause menus keep the classic controls, and you can turn the new layout off under Controls → Action icons in the world. The new gestures include holding and dragging to aim the bow or a throw, dragging on the right half of the screen to move the camera, and holding the power button to open a fan of available runes. You can also double-tap and hold the shield button to shield surf. The minimap and its indicators move to the top right, and tapping it opens the map. Both the new and classic layouts can be edited, including the size of individual buttons. This release also fixes drifting markers on the map in unlocked aspect ratios and horse names that were saved incorrectly. You can install it over an existing 0.2.x version without rebuilding the game code. This is still a beta. Expect bugs and different results across devices. Dynamic equipment icons are supported with game versions 1.6.0, 1.8.2 and 1.9.0; on 1.0.0, the icons remain fixed. Testing so far has been limited to my POCO F7 Ultra, so reports from other phones are especially helpful. No game files are included. You’ll need your own legally obtained, extracted game dump. If something breaks, please open a GitHub issue with your device, GPU, driver, game version and log. Download and full release notes: github.com/mamcjr/BOTWRecompAndroid/releases/tag/…

I made a tool to run Nest thermostats 3rd Gen locally with MQTT, Matter and Zigbee I've been working on this for a while, I think it's ready to leave my desk and take over your heating just in time for winter. unfr0zen patches your Nest Learning Thermostat over USB so you can use it locally with Home Assistant. Owning the hardware should be sufficient qualification to control it. You get: - Digital sovereignty over your thermostat. Block Google and Nest servers, dispense with the Google account, and let your heating continue without consulting California. - MQTT with HA discovery: modes, setpoints, eco, humidity, fan, schedules, etc. - Matter over Wi-Fi or Thread. Thread support is still experimental. - Zigbee:. It joins as a router. ZHA works, and there's a Zigbee2MQTT converter for the extra entities. MQTT and Matter over Wi-Fi can run alongside Zigbee. Thread and Zigbee share the radio, so you have to choose between them. Both replace the radio firmware used for Heat Link, so bear that in mind if you use one. An UNFR0ZEN menu on the thermostat handles Matter pairing codes and QR, plus Zigbee pairing. Installation requires a computer, a USB cable, and a few minutes. Download the app for Windows, macOS or Linux, tick what you want, and follow the prompts. There's a CLI on macOS and Linux if clicking feels beneath you. It's still early software controlling your actual heating. The app can back up the whole NAND before flashing. Take the backup; sovereignty comes with responsibilities. unfr0zen.com unfr0zen/unfr0zen Questions here, bug reports on GitHub. NB: Initial PoC and CLI tools are 100% from me, Claude Code has been used to accelerate GUI development, documentation and testing.

@wuguanzheng2 这也不是 SHA 被撞破，而是「想装哪个提交」和「实际装了哪个提交」没对上。给安装流程补回归测试时，除了安装成功，还得测校验不一致会不会真的停下，不能只看锁定成功那行提示。github.com/anthropics/claude-code/security/adviso…

@DonaldKSzeto The online demo currently provides two options. No CLAP-only variant yet, but I can definitely update it! (Thanks for the suggestion 😊) Also, you can check out our GitHub repo to train the model on your own setup (dataset/embeddings): yonghyunk1m/TuneJury t.co

@theRedo_ @samytsunaze @cmoisamii seedds/nxnative Si tu as un Iphone, je te conseille aussi de tester cet émulateur dessus : LNPANDY/NX2Apple

Unofficial Crunchyroll MCP server: catalog search, watchlist and watch history with browser-based sign-in Disclosure: this is my project. It started from StrikerLabs' open-source u/striderlabs/mcp-crunchyroll and it is not affiliated with or endorsed by Crunchyroll. It's a TypeScript stdio MCP server (v0.1.0, MIT). 19 of the 21 published tools work today: - Catalog: search, browse (sort/category/season filters), categories, simulcast seasons, series/season/episode details, recommendations, similar titles - Account reads: watchlist, watch history, playheads - Account writes: add/remove watchlist items, update playheads. These change your real account, so review those calls before approving them. - Session: login, logout, status How sign-in works: crunchyroll_login opens a dedicated managed Chromium profile and you log in yourself (including any captcha). Passwords, cookies, tokens and account IDs are never tool arguments, and requests go through a fixed set of operations over CDP, so the model can't build arbitrary HTTP calls. If a write may have been sent but the result is unknown, it returns MUTATION_OUTCOME_UNKNOWN instead of retrying blindly. Limitations: - It depends on Crunchyroll's internal web endpoints, which are not a public API and can change or break at any time. Region, session expiry and human verification also affect it. - No playback, downloads or DRM bypass. - continue_watching and get_subscription are still deferred and return OPERATION_NOT_MIGRATED. - Needs Node 18+ and a Chromium-based browser. CI runs on Node 18/20/22, but I've mostly used it with Hermes Agent on Linux, so reports from other clients and OSes are very welcome. AI disclosure: much of the code, tests and docs were written with AI coding agents (mainly Codex and Claude), and this post was drafted with AI help too. Feedback I'd love: setup/onboarding pain points, how errors are reported, and which tools you'd actually want next. Please keep credentials and account data out of issues. Repo: Itthiago034/mcp-crunchyroll

github.com/fedor-gbyt123/zatseper/releases/latest

@mustafaskyer @ShopifyDevs @_emjlin @gilgNYC Currently available on Chromium browsers, and chatgpt! github.com/webmachinelearning/webmcp/blob/main/im…

🔔#ClaudeCode v2.1.3 OJO: si usan fast mode con #Opus 4.8; quedó deprecado desde el 30 de octubre y se elimina el 30 de noviembre de 2026. Después, esas peticiones darán error en lugar de caer al modo normal, la recomendación es migrar a Opus5.5 - Info en: github.com/anthropics/claude-code/blob/main/CHANG…

Location: Brooklyn, NY, USA Remote: Yes, preferred. Open to hybrid/onsite in NYC. Willing to relocate: Prefer to stay in NYC. Technologies: JavaScript, React, HTML5, CSS3, Python, Three.js, Capacitor, Selenium, Git, Arduino, Raspberry Pi, Blender, Adobe Creative Suite Résumé/CV: shanelessa.com Email: shane.lessa@gmail.com GitHub: github.com/gldstrrbt Seeking: Creative technologist, frontend developer, creative developer, or similar roles. Hey HN! I'm a Brooklyn based developer/designer who loves making things, both digital and physical. I spent much of my 20s working for a government contractor on digital projects for government agencies. I was laid off at the end of 2020 during COVID related financial trouble, and decided to build something of my own: CryptoGain, a charting and analytics app I designed, developed, and launched for Android and iOS. (Don't worry, I'm not a crypto bro. I just really like charts.) Some fortunate investments gave me room to keep building and experimenting. In January 2026 I started PowerUpPocket (poweruppocket.com), restoring and creating one-of-a-kind Nintendo 3DS consoles. It combines design, electronics, and fabrication, but the best part is hearing from customers who found a little joy in something I made. Life got pretty rough this summer. I've been couch surfing and sometimes sleeping in my workshop while trying to get back on my feet. Then Etsy shut down my shop last week, cutting off nearly all my business income. So I'm looking for work again. My path's unconventional, but I love solving problems, teaching myself new tools, and taking ideas from concept to finished product. I'd be grateful for any opportunities or introductions. Thanks for reading!

Making ADK Go declarative on KAgent / AgentSubstrate #google #adk kagent#3344 t.co

fully open source vvedantb/eva powered by @vercel sandbox and @convex backend

Being able yo cuatomize homescreen the way I want is so cool Thanks to u/katadelos for pointing me at these repos: * katadelos/eink-emulator * katadelos/kppmods * katadelos/react-kindle Those publish buttons send articles with my writing on them to my obsidian vault(self hosted livesync), the plus buttons are for quickly adding items to book/articles collection. Calendar button leads to my recalendar note. Heavily ai assisted but I just wanted quick results. Opus 5.5 with 20$ plan done all this in about 2-2.5 evenings.

@HermesWatcher Try this 😊 ateymoori/pomelu

AI Cosmos: An Agentic Infra for Situated Learning AI Cosmos Team, Jinfeng Zhou, Yuxuan Chen, Fangming Chang, Mingyu Su, Yifan Zhu, Yuan Wang, Bo Zhang, Bosi Wen, Chenhao Yuan, Chenwen Liao, Dazhi Jiang, … arxiv.org [𝚌𝚜.𝙲𝙻] 💬Code: github.com/THU-AICosmos t.co

@GoonBoyCrypto And one more: Argent Studio. This was the first Silverscript studio tool released. It's available as a desktop app: KaspaHUB21/Argent-Studio With this tool some of the covenants we built ourselves were created.

I can recommend Ashex/atproto-mcp for querying live documentation

Cute custom dock thing, WIP Eriskii/ErisDock

@robmolou 👀 working on it. Will reimplement this for tarc. Can also make a bluesky bot for it. cailinpitt/chicago-transit-insights

With Sizely's Classroom mode and the launcher for Meta headsets, students in 3D printing labs can analyze, measure and inspect their models at real scale, right in the place they are designed for. Mistakes show up before printing, saving time and filament. #freedownload fmdigitaltools/Sizely

Free. Open source. macOS 14+. Site: apropos.zawalid.com Code: Zawalid/Apropos Not notarized yet, so macOS asks you to confirm the first launch once. Steps are in docs/install.md. I'm in the replies all day. Tell me what it gets wrong.

@fgrub3r @X Hey @fgrub3r, currently building secondread.studio, an AI editing tool that makes humans write their own drafts and then makes expert suggestions interactively. I am also developing all-around marketing open-source skills and plugins at github.com/C-Kapsalis

@julienlevallois @wesbos It's a little Java based MQTT emitter running in Wes's Home app. Mosquito MQTT on HA auto detects it. It's very smooth! github.com/Pagebakers/photo-frame-dashboard/tree/…

3D Printed 4DOF Robotic Arm From Scratch Hey guys. Over the past few months I built S.A.M (Servo-Actuated Manipulator), a 4-DOF robotic arm I designed from scratch and fully 3D printed. It runs on hobby servos (ds3240, ds3230, mg996r). The joints turn on 6806 bearings with wiring running concentric to the bearings, the idler gears ride on 5/16" steel shafts and 608 bearings. Fully 3D printed with PLA+ and also using heat-set inserts for threads. Repo: networksaphyra/sam-robot-arm Lots of stuff I wanna fix if I make a later iteration. Lmk what you guys think!

as usual, take it for a spin here: usd-webview.vercel.app and find the repo here: usd-wg/usd-wg-webview

Zen Delay mod firmware : MIDI CCs, Freeze, new Time Division Sharing my firmware mod for the Erica Synths x Ninja Tune Zen Delay pedal. I added a few features I was missing for my own use (shown in the video). If you like this version too feel free to flash it on yours, at your own risk. I’ve been using it on my unit for a few days without any issues. Details, install steps and how to go back to stock: guildfordia/zen-delay-mod Ideas and feedback welcome! This mod is not affiliated with Erica Synths in any way.

@wcandillon @GoTSkillZYT Maybe I’m doing something wrong, but I get the exact same problem in Skia v3 on iOS. I posted an issue for it here: react-native-skia#4384 I’ve included a repo reproducing it and stack traces of where it’s getting blocked. t.co

found git github.com/alpaysh x.com

Hex is a free, local voice dictation app by Anomaly (the team behind Open Code). It uses models like Parakeet to provide quick dictation via a shortcut key (holding Option) and offers features like customizable vocabularies and voice filters. anomalyco/opencode

yet another Jellyfin Client, 100% Vibe coded. (100% of the Code ist done by Codex, but heavily tested by myself) Edit: in the next hours there is coming a big ui and optimization update on github, also screenshots of the UI) Hey everyone! Yep, it's yet another vibe-coded Jellyfin client, and I'm well aware of how the community feels about those. I originally made this client just for myself because, honestly, some TV hardware is so ridiculously underpowered that it should be illegal. Even Wholphin ran terribly on my TV, and that's exactly why I had Codex build this client for me. The idea is simple: a Jellyfin client designed for absolute low-end TVs, while still looking relatively modern and offering plenty of features. I mainly wanted to share it with you because, at some point, I realized there might be other people out there who are dealing with the same problem, where pretty much every other client runs like garbage on their hardware. The client also comes with a companion plugin that takes inspiration from various other clients and plugins, including Kodi's TMDB Helper. If anyone wants to give it a try, feel free to do so! Just please don't hate on me for making "AI slop." I've genuinely put a lot of effort into working with Codex to make sure the client has as few issues as possible. There are still some problems with Fire TV Sticks at the moment, but that's something I'm planning to work on soon. Anyway, here are the links: **Lowfin:** 303inmyheart/Lowfin **Lowfin Companion:** 303inmyheart/Lowfin-Companion (Translated by ChatGPT because my english is not the best 😅)

A few more pointers here: n0-computer/awesome-iroh

@zeeg this worked for me majidmanzarpour/blender-game-skills

Zotivity (formerly ZotLLM): from database search to literature review (open source, Windows) Hi, Some of you may have seen my earlier post about ZotLLM. The app has grown well beyond language models, so it is now called Zotivity. It covers the work from the first database search to a checked literature review. It is still free and open source (MIT), and it runs on Windows alongside Zotero 10. What's new - Database search: from a research question to selected literature in Zotero. Build concept blocks and search strings with live hit counts, search PubMed, OpenAlex, Europe PMC, ERIC, EconBiz, Semantic Scholar, arXiv, OSF Preprints and swisscovery, or import RIS files from Ovid, EBSCO or Web of Science. Records are de-duplicated and checked against your Zotero library. You screen them as cards or in a list, and nothing is written to Zotero until you confirm. You also get a search log in the style of PRISMA-S and a PRISMA-style flow diagram. AI suggestions are optional, and every decision stays with you. - CSL editor: find a citation style on zotero.org, adapt it by clicking on the live preview and install it directly in Zotero. This is a first version, so feedback is especially welcome. - Literature review: now in five steps. Section lengths from the outline are now an upper limit for the language model, and the check lists sections that run too long and can shorten them. Word and LibreOffice documents: .docx and .odt attachments are now indexed too, with page numbers where the file records them. - Guide: walks you through the workflow inside the app, with links and the status of your project. Asking questions about your own texts with citations down to the page, and search without a language model, work as before. You choose the model: Claude, OpenAI, Gemini, DeepSeek or local models via Ollama. Embeddings can run entirely on your computer. Good to know - Coming from ZotLLM: the installer updates your installation, and settings, data and keys carry over on the first start. Replace the Zotero plugin once (Settings → Zotero and export → Save plugin). - How it was built: the code was written by Claude (Anthropic) in Claude Code. I defined the features and test each version in my own research. There are about 350 automated tests, but no line-by-line review by a human developer. - Limits of the database search: it covers searching and selection, not data extraction, risk of bias or synthesis. Each record holds one person's decision, so there is no independent double screening. - Installer: it isn't code-signed yet, so Windows SmartScreen shows a warning. The README explains how to proceed. - Purpose: it is meant as a tool for finding and checking sources, not as a replacement for reading them and writing yourself. - Zotivity is an independent project and not affiliated with Zotero. Download and documentation: avibecoder42/Zotivity Feedback, bug reports and ideas are very welcome, here or on GitHub.

BOTWRecompAndroid 0.2.12-beta is out! 🎮 Touch Controls Overhaul: dynamic gear/rune icons, drag-to-aim, a rune fan, editable buttons & the minimap at the top. Menus keep the classic controls. Also fixes ultrawide map markers and horse names. github.com/mamcjr/BOTWRecompAndroid/releases/tag/… t.co

as usual, take it for a spin here: usd-webview.vercel.app and find the repo here: usd-wg/usd-wg-webview

cd ~/Downloads torsocks curl -L -O github.com/wavetermdev/waveterm/releases/download…

hey @ThatsPranav shipped a pr at reloop integrating @AgentOnboardz i have done all the work to integrate it reloop#205 🙂

Revisited 19/39: CBCL, the Coinbase-Chainlink spread. When the two BTC feeds drift far apart, buy the matching Up/Down token and sell as the gap closes. Main failure: the gap can be stale or already priced, and latency plus fees eat it. Not advice. github.com/Polytutor-AI-Labs/polymarket-strategy-… t.co

@eliadeleoai I'm building Sigma File Manager, an open source file manager for Windows and Linux aleksey-hoffman/sigma-file-manager

با بستن ترمینال، کار Coding Agent متوقف نمیشه! 🤖 Herdr ابزاری متن‌باز برای مدیریت هم‌زمان Agentهایی مثل Claude Code، Codex و OpenCode در محیط‌های جداست؛ حتی میتونی از طریق SSH روی چند ماشین مدیریتشون کنی. herdrdev/herdr

Make yours: saymirr/GITHUB-WRAPPED

Steam library Howlongtobeat program Hey everyone! I got a mod permission on this so I figured I could share this program I made with everyone here. ReliableScrub/SteamLibraryData Real original name I know. Anyways, this is a program dedicated to syncing up your Steam library to Howlongtobeat's times so you don't have to worry about having to check every single time by going to the website. It's my first project, and I figured since I had some friends in the subreddit test it, that it might be good to show in the community. It's my first independent project outside of college, and I kind of want people to test it out and idk, find whatever's wrong with it, so I figure one of the most diverse gaming communities out there might be willing to see if there are any flaws or possible things, from Quality of Life to features, to add. Particularly, if you can let me know if HowLongToBeat couldn't catch your game, like, period, even with the review settings, let me know. Why does everything have to be named differently from Steam? It's so weird. Anyways, two things to note. One, you'll need to put in your steam profile ID and a steam web API key. Those shouldn't be hard to find and I even put in the link for the steam web API key. It's the only part of the process that looks sus, I know, but all information is stored on your computer and the program uses it to just verify that the info on library is correct from Steam's servers itself. The program's code is all public on github and any coder I guess can tell you nothing is "calling home" so to speak. Two, I had a machine learning algorithm as a recommendations up top. Had a friend ask cause of AI paranoia and all that, but it's just throwing something from your backlog right back at you based on your presumed tastes. It uses overall playtimes in the games you play, any ratings you put on it, and just, tries to throw like the top 10 things you might enjoy, which you can even filter down. ML AI is used in a lot of video games, like pre-5.0 DLSS, it just uses local data and all that, so there is nothing to be scared of on that front. To use the program, all you got to do is look at the right side, check releases, and download the exe. It's independent so no need to install nothing. the mac and linux builds are done through Github actions and my CPU unfortunately is old and busted so trying to set up a virtual machine to test those is a no go for me. If anyone can confirm honestly they work, please let me know. But yeah, thanks anyone and everyone here, testing or not. And you know, for reading what is effectively a shilling post.

Código em C++ que resolve o problema: #programming #leetcode #dsa #cpplus github.com/ThiagoFBastos/competitive-programming/…

Don't keep all your eggs in one basket. I use a cloud agent day to day, but long-term memory lives with a self-hosted agent on my own machine. A bridge lets them talk, plus a nightly backup. Open source, still experimental: jamesonedge/grokbot-hermes-bridge

PathCowork: Learning from real-world pathology practice to build AI copilots Sheng Wang, Jialu Yao, Maria V. Rossi, Shunsuke Koga, Esther Baranov, MacLean P. Nasrallah, Songhao Li, Jonathan Xu, Wei Du, … arxiv.org [𝚌𝚜.𝙲𝚅] 💬Code: zhihuanglab/PathCowork t.co

Location: Tualatin, Oregon (Portland metro), USA Remote: Yes, US time zones Willing to relocate: No. Remote, or onsite anywhere in the Portland metro, Salem, or Vancouver WA Technologies: Linux kernel, Rust (Rust-for-Linux), C, C++, device drivers, I2C/SMBus, power-supply, Android/AOSP, SoC bring-up, bootloaders, RT Linux, JTAG, Python Résumé/CV: brucer42/resume Email: brucer42@gmail.com In 2012 I wrote the SMB347 charger driver that is still in mainline Linux (commit ed1a230f, v3.4). This year I ported it to Rust and sent it upstream as an RFC, adding a Rust power_supply class abstraction mainline still doesn't have. The maintainer replied "having Rust bindings for new drivers sounds good to me". Direction approved, not merged. v2 waits on the I2C side moving to the Io traits that landed in 7.3. lore.kernel.org brucer42/rust-smb347 Before that: Intel (AOSP, tablet bring-up, secure-boot firmware), Cisco (C++ firmware and ASIC HAL generators, Catalyst 4500), ClearEdge Power (embedded Linux for a 5 kW fuel cell), then ten years as a startup CTO. Looking for kernel, driver, or embedded work, full-time or contract.

Google's ARTEMIS Can Test Android Apps #Shorts Google ARTEMIS turns natural language instructions into Android app workflows through MCP and ADB. In this video, we trace how an AI agent connects to a phone and checks the result. The project reports 99%+ on AndroidWorld. This is a project benchmark result, not a guarantee for every app. Repository: google/artemis MCP server: github.com/google/artemis/tree/main/mcp_server #Android #AI #OpenSource #Shorts [bn] গুগলের ARTEMIS এখন অ্যান্ড্রয়েড অ্যাপ টেস্ট করতে পারবে #Shorts গুগল আর্টেমিস (Google ARTEMIS) এমসিপি (MCP) এবং এডিবি (ADB)-এর মাধ্যমে স্বাভাবিক ভাষার নির্দেশাবলীকে অ্যান্ড্রয়েড অ্যাপ ওয়ার্কফ্লোতে রূপান্তরিত করে। এই ভিডিওতে, আমরা দেখব কীভাবে একটি এআই এজেন্ট একটি ফোনের সাথে সংযোগ স্থাপন করে এবং ফলাফল পরীক্ষা করে। প্রজেক্টটি অ্যান্ড্রয়েডওয়ার্ল্ড (AndroidWorld)-এ ৯৯%+ স্কোর রিপোর্ট করেছে। এটি একটি প্রজেক্ট বেঞ্চমার্কের ফলাফল, প্রতিটি অ্যাপের জন্য কোনো নিশ্চয়তা নয়। রিপোজিটরি: google/artemis এমসিপি সার্ভার: github.com/google/artemis/tree/main/mcp_server #অ্যান্ড্রয়েড #এআই #ওপেনসোর্স #শর্টস [de-DE] Googles ARTEMIS kann Android-Apps testen #Shorts Google ARTEMIS wandelt natürliche Sprachbefehle mithilfe von MCP und ADB in Android-App-Workflows um. In diesem Video zeigen wir, wie sich ein KI-Agent mit einem Smartphone verbindet und das Ergebnis überprüft. Das Projekt erzielt laut AndroidWorld über 99 %. Dies ist ein Benchmark-Ergebnis und keine Garantie für jede App. Repository: google/artemis MCP-Server: github.com/google/artemis/tree/main/mcp_server #Android #KI #OpenSource #Kurzvideos [es-US] ARTEMIS de Google puede probar aplicaciones de Android #Shorts Google ARTEMIS transforma instrucciones en lenguaje natural en flujos de trabajo para aplicaciones Android mediante MCP y ADB. En este video, mostramos cómo un agente de IA se conecta a un teléfono y verifica el resultado. El proyecto obtiene una puntuación superior al 99 % en AndroidWorld. Este es un resultado de referencia del proyecto, no una garantía para todas las aplicaciones. Repositorio: google/artemis Servidor MCP: github.com/google/artemis/tree/main/mcp_server #Android #IA #CódigoAbierto #Shorts [fr-FR] ARTEMIS de Google peut tester des applications Android #Shorts Google Artemis transforme les instructions en langage naturel en flux de travail pour applications Android grâce à MCP et ADB. Cette vidéo montre comment un agent IA se connecte à un téléphone et vérifie le résultat. Le projet affiche un score de plus de 99 % sur AndroidWorld. Il s'agit d'un benchmark, et non d'une garantie pour toutes les applications. Dépôt : google/artemis Serveur MCP : github.com/google/artemis/tree/main/mcp_server #Android #IA #OpenSource #Courts-métrages [hi] Google का ARTEMIS Android ऐप्स को टेस्ट कर सकता है #Shorts Google ARTEMIS, MCP और ADB का उपयोग करके प्राकृतिक भाषा निर्देशों को Android ऐप वर्कफ़्लो में परिवर्तित करता है। इस वीडियो में, हम देखते हैं कि कैसे एक AI एजेंट फ़ोन से कनेक्ट होता है और परिणाम की जाँच करता है। AndroidWorld पर इस प्रोजेक्ट का प्रदर्शन 99%+ रहा है। यह प्रोजेक्ट का बेंचमार्क परिणाम है, हर ऐप के लिए इसकी गारंटी नहीं है। रिपॉजिटरी: google/artemis MCP सर्वर: github.com/google/artemis/tree/main/mcp_server #Android #AI #OpenSource #Shorts [id] ARTEMIS dari Google Bisa Menguji Aplikasi Android #Shorts Google ARTEMIS mengubah instruksi bahasa alami menjadi alur kerja aplikasi Android melalui MCP dan ADB. Dalam video ini, kita menelusuri bagaimana agen AI terhubung ke ponsel dan memeriksa hasilnya. Proyek ini melaporkan skor 99%+ di AndroidWorld. Ini adalah hasil benchmark proyek, bukan jaminan untuk setiap aplikasi. Repositori: google/artemis Server MCP: github.com/google/artemis/tree/main/mcp_server #Android #AI #OpenSource #Shorts [it] ARTEMIS di Google può testare le app Android #Shorts Google ARTEMIS trasforma le istruzioni in linguaggio naturale in flussi di lavoro per app Android tramite MCP e ADB. In questo video, analizziamo come un agente AI si connette a un telefono e verifica il risultato. Il progetto riporta un punteggio superiore al 99% su AndroidWorld. Questo è un risultato di benchmark del progetto, non una garanzia per ogni app. Repository: google/artemis Server MCP: github.com/google/artemis/tree/main/mcp_server #Android #AI #OpenSource #Shorts [iw] ARTEMIS של גוגל יכול לבדוק אפליקציות אנדרואיד #Shorts גוגל ARTEMIS הופכת הוראות בשפה טבעית לזרימות עבודה של אפליקציות אנדרואיד דרך MCP ו-ADB. בסרטון זה, אנו עוקבים אחר האופן שבו סוכן בינה מלאכותית מתחבר לטלפון ובודקים את התוצאה. הפרויקט מדווח על 99%+ ב-AndroidWorld. זוהי תוצאת ביצועים לפרויקט, לא ערובה לכל אפליקציה. מאגר: google/artemis שרת MCP: github.com/google/artemis/tree/main/mcp_server #אנדרואיד #בינה מלאכותית #קודפתוח #סרטונים קצרים [ja] GoogleのARTEMISでAndroidアプリをテストする方法 #Shorts Google ARTEMISは、MCPとADBを介して自然言語による指示をAndroidアプリのワークフローに変換します。この動画では、AIエージェントがスマートフォンに接続し、結果を確認する様子を追っています。 このプロジェクトはAndroidWorldで99%以上の成功率を報告しています。これはプロジェクトのベンチマーク結果であり、すべてのアプリで同様の結果を保証するものではありません。 リポジトリ：google/artemis MCPサーバー：github.com/google/artemis/tree/main/mcp_server #Android #AI #OpenSource #Shorts [ko] 구글의 ARTEMIS로 안드로이드 앱을 테스트할 수 있습니다 #Shorts Google ARTEMIS는 MCP와 ADB를 통해 자연어 명령을 Android 앱 워크플로로 변환합니다. 이 영상에서는 AI 에이전트가 스마트폰에 연결하여 결과를 확인하는 과정을 보여줍니다. 이 프로젝트는 AndroidWorld에서 99% 이상의 성능을 보고했습니다. 이는 프로젝트 벤치마크 결과이며, 모든 앱에서 동일한 성능을 보장하는 것은 아닙니다. 리포지토리: google/artemis MCP 서버: github.com/google/artemis/tree/main/mcp_server #Android #AI #OpenSource #Shorts [ml] ഗൂഗിളിന്റെ ARTEMIS-ന് ആൻഡ്രോയിഡ് ആപ്പുകൾ ടെസ്റ്റ് ചെയ്യാൻ സാധിക്കും #Shorts ഗൂഗിൾ ആർടെമിസ്, എംസിപി, എഡിബി എന്നിവയിലൂടെ സ്വാഭാവിക ഭാഷാ നിർദ്ദേശങ്ങളെ ആൻഡ്രോയിഡ് ആപ്പ് വർക്ക്ഫ്ലോകളാക്കി മാറ്റുന്നു. ഈ വീഡിയോയിൽ, ഒരു എഐ ഏജന്റ് ഒരു ഫോണിലേക്ക് കണക്റ്റ് ചെയ്യുന്നതും ഫലം പരിശോധിക്കുന്നതും എങ്ങനെയെന്ന് ഞങ്ങൾ ട്രാക്ക് ചെയ്യുന്നു. ആൻഡ്രോയിഡ് വേൾഡിൽ പ്രോജക്റ്റ് 99%+ റിപ്പോർട്ട് ചെയ്യുന്നു. ഇത് ഒരു പ്രോജക്റ്റ് ബെഞ്ച്മാർക്ക് ഫലമാണ്, എല്ലാ ആപ്പിനും ഒരു ഗ്യാരണ്ടിയല്ല. ശേഖരം: google/artemis MCP സെർവർ: github.com/google/artemis/tree/main/mcp_server #Android #AI #OpenSource #Shorts [nl-NL] ARTEMIS van Google kan Android-apps testen #Shorts Google ARTEMIS zet instructies in natuurlijke taal om in workflows voor Android-apps via MCP en ADB. In deze video laten we zien hoe een AI-agent verbinding maakt met een telefoon en het resultaat controleert. Het project behaalt een score van meer dan 99% op AndroidWorld. Dit is een benchmarkresultaat van het project en geen garantie voor elke app. Repository: google/artemis MCP-server: github.com/google/artemis/tree/main/mcp_server #Android #AI #OpenSource #Shorts [pa] Google ਦਾ ARTEMIS ਐਂਡਰੌਇਡ ਐਪਸ ਨੂੰ ਟੈਸਟ ਕਰ ਸਕਦਾ ਹੈ #Shorts Google ARTEMIS ਕੁਦਰਤੀ ਭਾਸ਼ਾ ਨਿਰਦੇਸ਼ਾਂ ਨੂੰ MCP ਅਤੇ ADB ਰਾਹੀਂ ਐਂਡਰਾਇਡ ਐਪ ਵਰਕਫਲੋ ਵਿੱਚ ਬਦਲਦਾ ਹੈ। ਇਸ ਵੀਡੀਓ ਵਿੱਚ, ਅਸੀਂ ਟਰੇਸ ਕਰਦੇ ਹਾਂ ਕਿ ਇੱਕ AI ਏਜੰਟ ਇੱਕ ਫੋਨ ਨਾਲ ਕਿਵੇਂ ਜੁੜਦਾ ਹੈ ਅਤੇ ਨਤੀਜੇ ਦੀ ਜਾਂਚ ਕਰਦਾ ਹੈ। ਪ੍ਰੋਜੈਕਟ AndroidWorld 'ਤੇ 99%+ ਰਿਪੋਰਟ ਕਰਦਾ ਹੈ। ਇਹ ਇੱਕ ਪ੍ਰੋਜੈਕਟ ਬੈਂਚਮਾਰਕ ਨਤੀਜਾ ਹੈ, ਹਰੇਕ ਐਪ ਲਈ ਗਰੰਟੀ ਨਹੀਂ। ਰਿਪੋਜ਼ਟਰੀ: google/artemis MCP ਸਰਵਰ: github.com/google/artemis/tree/main/mcp_server #Android #AI #OpenSource #Shorts [pl] ARTEMIS firmy Google może testować aplikacje na Androida #Shorts Google ARTEMIS przekształca instrukcje w języku naturalnym w przepływy pracy aplikacji na Androida za pomocą MCP i ADB. W tym filmie śledzimy, jak agent AI łączy się z telefonem i sprawdza wynik. Projekt raportuje 99%+ w AndroidWorld. Jest to wynik benchmarku projektu, a nie gwarancja dla każdej aplikacji. Repozytorium: google/artemis Serwer MCP: github.com/google/artemis/tree/main/mcp_server #Android #AI #OpenSource #Shorts [pt-BR] O ARTEMIS do Google pode testar aplicativos Android #Shorts O Google ARTEMIS transforma instruções em linguagem natural em fluxos de trabalho para aplicativos Android por meio do MCP e do ADB. Neste vídeo, mostramos como um agente de IA se conecta a um telefone e verifica o resultado. O projeto apresenta um índice de aprovação de mais de 99% no AndroidWorld. Este é um resultado de benchmark do projeto, não uma garantia para todos os aplicativos. Repositório: google/artemis Servidor MCP: github.com/google/artemis/tree/main/mcp_server #Android #IA #CódigoAberto #VídeosCurtos [ru] ARTEMIS от Google может тестировать приложения для Android #Shorts Проект Google ARTEMIS преобразует инструкции на естественном языке в рабочие процессы Android-приложений с помощью MCP и ADB. В этом видео мы отслеживаем, как ИИ-агент подключается к телефону и проверяет результат. Проект показывает результат более 99% на AndroidWorld. Это результат бенчмарка проекта, а не гарантия для каждого приложения. Репозиторий: google/artemis Сервер MCP: github.com/google/artemis/tree/main/mcp_server #Android #AI #OpenSource #Shorts [ta] Google-இன் ARTEMIS மூலம் Android செயலிகளை சோதனை செய்யலாம் #Shorts கூகிள் ஆர்டெமிஸ், MCP மற்றும் ADB-ஐப் பயன்படுத்தி, இயல்மொழி வழிமுறைகளை ஆண்ட்ராய்டு செயலி பணிப்பாய்வுகளாக மாற்றுகிறது. இந்தக் காணொளியில், ஒரு AI ஏஜென்ட் எவ்வாறு ஒரு தொலைபேசியுடன் இணைகிறது என்பதைக் கண்காணித்து, அதன் முடிவைச் சரிபார்க்கிறோம். இந்தத் திட்டம் ஆண்ட்ராய்டுவேர்ல்டில் 99%-க்கும் அதிகமான முடிவுகளைப் பதிவு செய்துள்ளது. இது ஒரு திட்டத்தின் ஒப்பீட்டு முடிவு மட்டுமே, ஒவ்வொரு செயலிக்கும் இது உத்தரவாதம் அல்ல. களஞ்சியம்: google/artemis MCP சர்வர்: github.com/google/artemis/tree/main/mcp_server #ஆண்ட்ராய்டு #AI #திறந்தமூலம் #குறுஞ்செய்திகள் [te] Google ARTEMIS ఇప్పుడు ఆండ్రాయిడ్ యాప్‌లను టెస్ట్ చేయగలదు #Shorts గూగుల్ ఆర్టెమిస్ (Google ARTEMIS), MCP మరియు ADB ద్వారా సహజ భాషా సూచనలను ఆండ్రాయిడ్ యాప్ వర్క్‌ఫ్లోలుగా మారుస్తుంది. ఈ వీడియోలో, ఒక AI ఏజెంట్ ఫోన్‌కు ఎలా కనెక్ట్ అవుతుందో మరియు ఫలితాన్ని ఎలా తనిఖీ చేస్తుందో మనం పరిశీలిస్తాము. ఈ ప్రాజెక్ట్ ఆండ్రాయిడ్‌వరల్డ్‌లో 99%+ స్కోర్‌ను నివేదించింది. ఇది ప్రాజెక్ట్ బెంచ్‌మార్క్ ఫలితం మాత్రమే, ప్రతి యాప్‌కు ఇది హామీ కాదు. రిపోజిటరీ: google/artemis MCP సర్వర్: github.com/google/artemis/tree/main/mcp_server #ఆండ్రాయిడ్ #AI #ఓపెన్‌సోర్స్ #షార్ట్స్ [uk] ARTEMIS від Google може тестувати додатки для Android #Shorts Google ARTEMIS перетворює інструкції природною мовою на робочі процеси додатків Android за допомогою MCP та ADB. У цьому відео ми простежуємо, як агент штучного інтелекту підключається до телефону та перевіряє результат. Проєкт повідомляє про понад 99% результатів на AndroidWorld. Це результат бенчмарку проєкту, а не гарантія для кожного додатка. Репозиторій: google/artemis Сервер MCP: github.com/google/artemis/tree/main/mcp_server #Android #ШІ #ВідкритийВихіднийКод #Шортс

@184eth @PokemonENS @ensdomains please approve the automation checks to run apps-monorepo#1679

Exploratory Testing with AI: Beyond Predefined Test Cases --- title: "Exploratory Testing with AI: Beyond Predefined Test Cases" published: true description: "AI-assisted exploration to investigate app behavior beyond scripted test flows." tags: testing, ai, ios, development --- Unit tests check logic, snapshot tests detect output changes, and end-to-end tests verify predefined journeys—but unexpected behavior often appears outside those paths. Exploratory testing: learning while interacting Exploratory testing starts with a goal, not a fixed script. Each observation informs the next action, and unexpected behavior becomes a reason to investigate further. An AI agent with access to an app's interface can follow this loop: Observe → act → inspect → decide what to explore next. The developer defines the scope. The agent chooses interactions, tries alternative paths, and documents potential issues. No predefined test flow is required. Where it helps - Broader feature coverage: Explore beyond acceptance criteria, including adjacent screens, interrupted flows, and unexpected state transitions. - Varied action sequences: Reorder, repeat, cancel, and revisit interactions instead of following the same happy path. - AI-assisted smoke testing: Check main screens and primary actions for obvious blockers after a new build. - Recurring exploration: With external scheduling, revisit exploration goals across builds and collect observations for review. - New regression cases: Turn confirmed discoveries into repeatable automated tests. AI-Assisted Exploratory Testing Locally on iOS iSimBot-MCP is an open-source tool that lets Claude Code, Codex, and other MCP-compatible agents see and control the local iOS Simulator. It works with apps already installed in the simulator. No build-pipeline integration, in-app testing SDK, or source-code access is needed to explore the interface. The agent drives the investigation through screenshots, taps, swipes, and text input. Known action sequences can also return multiple screenshots in a single call. !AI-assisted exploration of the iOS Simulator with iSimBot-MCP brew install wei0121/tap/isimbot-mcp isimbot setup Requires Apple Silicon, macOS 15+, and Xcode 26+ with an iOS simulator runtime. After setup, restart the selected client, connect to the simulator, and describe what to investigate. The tool currently supports one selected iOS simulator per server. Build automation and recurring scheduling are outside its scope. AI observations require human review: agents can miss issues or misunderstand intended behavior. Exploration complements existing tests; it does not establish that an app is bug-free. Source code, demo, and installation instructions Happy for any feedback.

@TraiBuilds @rronak_ Yes, we do! As with all good ML, the holdout set is separate from the train set. See our SDK for examples of how we manage train/eval splits. github.com/Trajectorylabs/trajectory-cookbook/tre…