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[Other] A 0-click exploit chain for the Pixel 10

[IDE/Editor] Show HN: Ane, a new chord-based terminal code editor with one-shot CLI edits I’ve had this idea for a new code editor chord grammar bouncing around in my head for over 2 years, and now I can finally release v0.1 of ane. You can run it one-shot from scripts or agents (`ane exec —chord…`) or use its full-on TUI editor. ane is pure Rust, and integrates tree-sitter and LSP to provide a pleasant and predictable terminal code editing experience. I’d love folks to try it out and give feedback! Thanks :)

[Other] Radicle: Sovereign {code forge} built on Git

[Other] Mercurial, 20 years and counting: how are we still alive and kicking? [video]

[Other] Prolog Basics Explained with Pokémon

[DevOps] Show HN: GlycemicGPT – Open-source AI-powered diabetes management I&#x27;m a Type 1 diabetic and software engineer. Last year I went months between endocrinologists with no clinician reviewing my data. I&#x27;m an engineer, so I built the tool I needed — and now I&#x27;m open sourcing it. GlycemicGPT is a self-hosted platform that connects continuous glucose monitors, insulin pumps, and existing Nightscout instances to an AI analysis layer running on your own infrastructure. Data sources:<p>Dexcom G7 (cloud API) Tandem t:slim X2 and Mobi pumps (direct BLE) Nightscout (point it at your existing instance and you&#x27;re running in minutes)<p>What the AI layer does:<p>Daily briefs summarizing overnight and 24-hour patterns Meal response analysis Conversational chat with RAG-backed clinical knowledge Predictive alerting with configurable thresholds and caregiver escalation<p>Important: this is monitoring and analysis only. GlycemicGPT does not deliver insulin, does not control your pump, and is not a closed-loop system. It reads your data and gives you insight on top of it. Your clinical decisions stay between you and your care team. Architecture:<p>Self-hosted via Docker or K8S — the GlycemicGPT stack runs entirely on your hardware BYOAI — bring your own AI provider. Use Ollama for fully local operation (no data leaves your hardware), or point it at Claude, OpenAI, or any OpenAI-compatible endpoint if you prefer a hosted model. Data flows directly from your instance to the provider you choose; nothing is routed through any centralized service operated by the project. GPL-3.0, no subscriptions, no vendor lock-in<p>Stack:<p>Backend API: FastAPI, Python 3.12, PostgreSQL 16, Redis 7 Web Dashboard: Next.js 15, React 19, Tailwind CSS, shadcn&#x2F;ui AI Sidecar: TypeScript, Express, multi-provider proxy Android App: Kotlin, Jetpack Compose, BLE Wear OS: Kotlin, Wear Compose, Watch Face Push API Plugin SDK: Kotlin interfaces, capability-based, sandboxed<p>Looking for contributors — especially folks with BLE&#x2F;Android experience or anyone in the diabetes tech space. Plugin SDK is documented if you want to add support for new devices. GitHub: <a href="https:&#x2F;&#x2F;github.com&#x2F;GlycemicGPT&#x2F;GlycemicGPT" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;GlycemicGPT&#x2F;GlycemicGPT</a>

[Other] How Claude Code works in large codebases

[Other] Show HN: Openvid – open-source cinematic screen recorder and mockup editor

[Other] LLM Policy for Rust Compiler

[Other] OVMS: Open source electric vehicle remote monitoring, diagnosis and control

[Code Quality] Mado: Fast Markdown linter written in Rust

[Other] Show HN: Full Stack HQ – Claude.md and Agent Stack for Claude Code Permission-first config kit for Claude Code and Google Antigravity IDE. Installs CLAUDE.md + GEMINI.md + 10 specialist agents + 28 skills with one command. MIT license.

[Other] Show HN: JDS – a Copilot skill suite for structuring AI coding behavior A few months ago I stumbled on obra&#x27;s superpowers repository <a href="https:&#x2F;&#x2F;github.com&#x2F;obra&#x2F;superpowers" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;obra&#x2F;superpowers</a>. I really liked the approach and idea that you enforce discipline for your agent through a skill-based workflow. Even though coding agents (copilot included) have become a lot better at natively handling complex tasks, they still wander off and lose track of things. I really liked how superpowers fixed this and how it enabled long-running sessions without the agent losing its &quot;focus&quot;. So I decided to build a Copilot tailored skill suite around the core idea of superpowers. I didn&#x27;t just want to port superpowers to Copilot, I took inspiration from it and improved on it. JDS enforces a strict think -&gt; plan -&gt; execute pipeline where nothing gets skipped. It leverages Copilot&#x27;s built-in sql todo dependencies and provides a live task graph visualizer which helps visualize the agentic workflow and its parallelism. Curious whether others have tried similar approaches, and what&#x27;s worked or not.

[Other] Codex is now in the ChatGPT mobile app

[Other] Grok Build

[Other] Show HN: Browse 61 3D Printable Robots Robotics is advancing really fast lately, with AI inference, different controllers, software, and parts always changing. I wanted a place that supports many device types, Raspberry Pi, NVDA Jetson, Arduino, ESP32, hardware sources, and maximizes for printability. Instructables, Github, and Thingiverse are currently popular but aren&#x27;t really focused on robotics, So I built orobot.io to try and make printing robots as standardized and accessible as possible. It uses a lot of Agent built content custom to each project, and every project is designed to be used by humans or your agent.<p>Features:<p>- Photos and Estimated Prices for all projects<p>- Links back to source GitHub projects<p>- LLMs write descriptions and tips on how to build<p>- View + Download 3d printable STL files in browser<p>- BOM purchase links are kept up to date with LLMs checking Amazon link health<p>- LLMs write Javascript install and controller wrappers custom to each project so a single one-click install works across many frameworks and controller types<p>- Public skill files, clis, and prompts let your agent do everything it needs to walk you through the complexity.<p>It&#x27;s still pretty new, so somethings are broken, and there&#x27;s a lot more I want to build. But I&#x27;m very interested to have people try it out let me know if they want to use something like this and give me feedback about where they ran into problems so I can fix it. Thank you HN!

[Other] Building ML framework with Rust and Category Theory

[Database] Show HN: Aion a Rust Database

[Other] Show HN: Running the second public ODoH relay Every privacy-focused DNS service requires an account: NextDNS, Cloudflare for Families, Apple&#x27;s iCloud Private Relay (paid, iOS-only). The protocol that doesn’t require one - ODoH - had basically one well-known public relay operator (Frank Denis on Fastly Compute, default in dnscrypt-proxy). I built a second one and the client to talk to it.

[Other] A Claude Code and Codex Skill for Deliberate Skill Development