Lys
Agent-native iOS development, testing and deployment
What it does
Most coding agents can write iOS code, but testing what they built is still awkward. I built Lys around that missing loop. Agents can use the simulator, test real flows and see runtime issues. TestFlight is built in too, so tester feedback, screenshots and device context can go straight to an agent to fix. I also built a testing SDK for Swift and Expo/React Native to make apps easier for agents to test reliably. Lys is free and open-source.
iOS Development/Testing Suite. Contribute to nhestrompia/lys development by creating an account on GitHub.
Lys is a macOS app for building and testing iOS apps with agent-assisted, semantic verification. Download the latest signed and notarized Apple-silicon DMG from GitHub Releases , open it, and drag Lys.app to Applications . The release includes a SHA-256 checksum alongside the DMG. Once Lys discovers a supported Xcode and Simulator, it automatically prepares the verified WebDriverAgent runner in the background. The one-time setup is shared by all supported agents and its progress is shown in Settings; users do not need to start it manually. ./Scripts/test-local.sh Run swift run --skip-build Lys You can also use ./Scripts/run-local.sh when the selected Xcode toolchain needs a localfrom github.com
Does the same job
all alternatives →
More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 16d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com
Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 26d ago · cactuscompute.com
Launched alongside, August 2026
the whole month →- TL
Life & fun · 10d ago · louisabraham.github.io
- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 16d ago · simedw.com