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[Other] Debugging containers that have no shell

[Other] Show HN: PingStalker – A a macOS tool for network engineers Hi HN - I’m the developer of PingStalker, a macOS utility I built to see what’s really happening on the LAN&#x2F;WLAN.<p>I live in the CLI, but when it came to discovery and monitoring, I found it limiting. So I built a GUI that brings my favorite tools together in one place.<p>PingStalker started because I wanted to know if something on the network was scanning my machine. I also wanted quick access to core details—external IP, Wi-Fi data, and local topology. Then I wanted more: fast, reliable scans using ARP tables and ICMP.<p>As a Wi-Fi engineer, I couldn’t stop there. I kept adding ways to surface what’s actually going on behind the scenes.<p>A few highlights:<p>- Performs ARP, ICMP, mDNS, and DNS scans to discover every device on your subnet, showing IP, MAC, vendor, and open ports.<p>- Continuously monitors selected hosts (“live ping”) to visualize latency spikes, missed pings, and reconnects.<p>- Detects VLANs on trunk or hybrid ports, exposing when your Mac is sitting on a tagged interface.<p>- Captures just the important live traffic — DHCP events, ARP broadcasts, 802.1X authentication, LLDP&#x2F;CDP neighbor data, ICMP packets, and off-subnet chatter — to give you a real-time pulse of your network.<p>- Decodes mDNS traffic into human-readable form (that one took months of deep dives, but the output is finally clear and useful).<p>- Built my own custom vendor-logo database: I wrote a tool that links MAC OUIs with their companies, fetches each vendor’s favicon, and stores them locally so scan results feel alive and recognizable.<p>Under the hood it’s written in Swift. It uses low-level BSD sockets for ping and ARP, plus Apple’s Network framework for interface enumeration. The rest relies on familiar command-line tools. It’s fast.<p>I’d love feedback from anyone who builds or uses network diagnostic tools:<p>- Does this fill a gap you’ve run into on macOS?<p>- Any ideas for improving scan speed or how traffic events are visualized?<p>- What else would you like to see?<p>Details and screenshots: https:&#x2F;&#x2F;pingstalker.com<p>Happy to answer any technical questions about the implementation, Swift APIs, or macOS permission model.

[Other] The Paranoid Guide to Running Copilot CLI in a Secure Docker Sandbox

[Other] Show HN: Sparktype – a CMS and SSG that runs entirely in the browser Hi HN,<p>After trying to teach a non-technical friend how to manage a Jekyll site I decided there must be a way to make building a site with a SSG easier. Options like Decap, Contentful etc. do make it a bit easier but still take lots of tech knowledge to set up.<p>So I built Sparktype, a browser-based CMS that outputs statically-generated HTML and CSS. My goal is for it to be as easy to use as Substack or Medium, while providing all the benefits of a static site generator including openness, simplicity, speed, security and ownership.<p>It handles most things that you&#x27;d need from a CMS, including creating pages, image resizing, menu management, tags, collections, listings etc. I&#x27;ve only made two themes so far, but I&#x27;m working on a theme store and the ability to import custom themes.<p>Content is saved as plain Markdown + YAML frontmatter and JSON config files, so there&#x27;s no lock-in and content is easily portable to other platforms. Generated sites can be exported as a zip file to upload via FTP, committed to Github or published via Netlify API.<p>I&#x27;m working on cross-platform client apps using Tauri which will enable more publishing options as its not limited by what can be done in a client-only environment.<p>The way the system works means that the Web doesn&#x27;t need to be the only interface to the content - here&#x27;s a simple Go-based CLI client that bypasses the HTML altogether <a href="https:&#x2F;&#x2F;github.com&#x2F;sparktype-project&#x2F;sparktype&#x2F;tree&#x2F;main&#x2F;st-cli" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;sparktype-project&#x2F;sparktype&#x2F;tree&#x2F;main&#x2F;st-...</a><p>It&#x27;s very early days and there are still plenty of bugs, but I&#x27;m posting now to hopefully get feedback and see what people think. Please do let me know!

[Other] OpenTelemetry: Escape Hatch from the Observability Cartel

[Other] Building blobd: single-machine object store with sub-ms reads and 15 GB/s upload

[Other] Show HN: MyTimers.app offline-first PWA with no build step and zero dependencies Hello,<p>For quite some time, I&#x27;ve been unsatisfied with the built-in timers on both Android and iOS; especially for workouts, when I needed to set up a configurable number of series with rest periods in between. That&#x27;s when I started thinking about building something myself. It was just a timer and I said to myself &quot;how hard could it be?&quot;, I had no idea.<p>The first iteration of the project worked &quot;just fine&quot;, but the UI was an eyesore (even more than it is now), and the UX was quite awful as well. As you can probably guess, I&#x27;m not versed in design or front-end development. In fact, my last real experience with front-end work was back when jQuery was still a thing.<p>However, I knew what I wanted to build, and over the last few days (and with the help of the infamous AI) I was able to wrap up the project for my needs. It required quite a lot of &quot;hand holding&quot; and &quot;back and forth&quot;, but it helped me smooth out the rough edges and provided great suggestions about the latest ES6 features.<p>The project is, as the title states, an offline-first PWA with zero dependencies; no build step, no cookies, no links, no analytics, nothing other than timers. It uses `Web Components` (a really nice feature, in my opinion, though I still don&#x27;t get why we can&#x27;t easily inherit styles from the global scope) and `localStorage` to save timers between uses.<p>I&#x27;d appreciate any comments or suggestions, since I just want to keep learning new things.<p><a href="https:&#x2F;&#x2F;mytimers.app&#x2F;" rel="nofollow">https:&#x2F;&#x2F;mytimers.app&#x2F;</a>

[Other] Show HN: AgentML – SCXML for Deterministic AI Agents (MIT) Hey HN,<p>We’ve been experimenting with how to make AI agents more deterministic, observable, and production-safe, and that led us to build AgentML — an open-source language for defining agent behavior as state machines, not prompt chains.<p>My co-founder posted before but linked to the project website instead of the repo, so resharing here.<p>AgentML lets you describe your agent’s reasoning and actions as a finite-state model (think SCXML for agents). Each state, transition, and tool call is explicit and machine-verifiable.<p>That means you can:<p>- Reproduce any decision path deterministically<p>- Trace reasoning and tool calls for debugging or compliance<p>- Guarantee agents only take valid actions (e.g. “never send a payment before verification”)<p>- Run locally, in the cloud, or within MCP-based frameworks<p>Example:<p>```<p>&lt;?xml version=&quot;1.0&quot; encoding=&quot;UTF-8&quot;?&gt;<p>&lt;agentml xmlns=&quot;github.com&#x2F;agentflare-ai&#x2F;agentml&quot; xmlns:openai=&quot;github.com&#x2F;agentflare-ai&#x2F;agentml-go&#x2F;openai&quot; version=&quot;1.0&quot; datamodel=&quot;ecmascript&quot; name=&quot;researcher&quot;&gt;<p>&lt;datamodel&gt;<p><pre><code> &lt;data id=&quot;papers&quot; expr=&quot;[]&quot; schema=&#x27;{&quot;type&quot;:&quot;array&quot;,&quot;description&quot;:&quot;Fetched papers from Hugging Face&quot;}&#x27; &#x2F;&gt; &lt;data id=&quot;summary&quot; expr=&quot;&#x27;&#x27;&quot; schema=&#x27;{&quot;type&quot;:&quot;string&quot;,&quot;description&quot;:&quot;Summary of the papers&quot;}&#x27; &#x2F;&gt; </code></pre> &lt;&#x2F;datamodel&gt;<p>&lt;state id=&quot;start&quot;&gt;<p><pre><code> &lt;onentry&gt; &lt;log label=&quot;Researcher: &quot; expr=&quot;`Fetching papers from Hugging Face and summarizing with OpenAI\n`&quot; &#x2F;&gt; &lt;openai:generate model=&quot;gpt-4o&quot; location=&quot;summary&quot; stream=&quot;false&quot;&gt; &lt;openai:prompt&gt;Summarize these recent AI&#x2F;ML papers from Hugging Face: {{fetch &quot;https:&#x2F;&#x2F;huggingface.co&#x2F;api&#x2F;daily_papers&quot;}} Provide a concise summary of the key trends, breakthroughs, and developments in AI&#x2F;ML research. &lt;&#x2F;openai:prompt&gt; &lt;&#x2F;openai:generate&gt; &lt;&#x2F;onentry&gt; &lt;transition target=&quot;log_summary&quot; &#x2F;&gt; </code></pre> &lt;&#x2F;state&gt;<p>&lt;state id=&quot;log_summary&quot;&gt;<p><pre><code> &lt;onentry&gt; &lt;log label=&quot;Researcher Summary: &quot; expr=&quot;summary&quot; &#x2F;&gt; &lt;&#x2F;onentry&gt; &lt;transition target=&quot;done&quot; &#x2F;&gt; </code></pre> &lt;&#x2F;state&gt;<p>&lt;final id=&quot;done&quot; &#x2F;&gt;<p>&lt;&#x2F;agentml&gt;<p>```<p>We’re using this in Agentflare to add observability, cost tracking, and compliance tracing for multi-agent systems — but AgentML itself is fully open-source (MIT licensed).<p>Repo: <a href="https:&#x2F;&#x2F;github.com&#x2F;agentflare-ai&#x2F;agentml" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;agentflare-ai&#x2F;agentml</a> Docs: <a href="https:&#x2F;&#x2F;docs.agentml.dev" rel="nofollow">https:&#x2F;&#x2F;docs.agentml.dev</a><p>We also launched SQLite-Graph, a Cypher-compatible graph extension for SQLite, which will serve as the base for AgentML’s native memory layer. It’s also MIT licensed: <a href="https:&#x2F;&#x2F;github.com&#x2F;agentflare-ai&#x2F;sqlite-graph" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;agentflare-ai&#x2F;sqlite-graph</a><p>Would love feedback from anyone building with LLM orchestration frameworks, rule-based systems, or embedded MCP tool servers… especially around how to extend deterministic patterns to multi-agent coordination.<p>— Jeff @ Agentflare

[Other] Show HN: React-like Declarative DSL for building synthetic LLM datasets

[Monitoring/Observability] Agent-o-rama: build, trace, evaluate, and monitor LLM agents in Java or Clojure

[Other] Mergiraf: Syntax-Aware Merging for Git

[Other] Show HN: a Rust ray tracer that runs on any GPU – even in the browser I’ve been experimenting with Rust lately and wanted a project that would help me explore some of its lower-level and performance-oriented features. Inspired by Sebastian Lague’s videos, I decided to implement my own ray tracer from scratch.<p>The initial goal was just to render a simple 3D scene in the browser at a reasonable frame rate. It evolved into a small renderer that can: • Run locally or on the web using wgpu and WebAssembly • Perform mesh rendering with a Bounding Volume Hierarchy (BVH) for acceleration • Simulate both direct and indirect illumination for photorealistic results • Be deployed easily as a free web demo using GitHub Pages<p>The project is far from perfect, but it’s been a fun way to dig deeper into graphics programming and learn more about Rust’s ecosystem. I’m also planning to experiment with Rust for some ML projects next.<p>GitHub: <a href="https:&#x2F;&#x2F;github.com&#x2F;tchauffi&#x2F;rust-rasterizer" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;tchauffi&#x2F;rust-rasterizer</a> Web demo (desktop browsers): <a href="https:&#x2F;&#x2F;tchauffi.github.io&#x2F;rust-rasterizer&#x2F;" rel="nofollow">https:&#x2F;&#x2F;tchauffi.github.io&#x2F;rust-rasterizer&#x2F;</a><p>Would love feedback from anyone who’s built similar projects or has experience with wgpu or ray tracing in Rust.

[CLI Tool] Show HN: Serie – A rich Git commit graph in your terminal Serie is a TUI application that uses the terminal emulators&#x27; image display protocol to render commit graphs like git log --graph --all.<p>This is not a full-featured git client, nor are there any plans to add such functionality, so it is not a replacement for tig, lazygit, gitui, etc.<p>The only purpose of this tool is to provide a pretty git log --graph and make commit information easily accessible.<p>While some users prefer to use Git via CLI, they often rely on a GUI or feature-rich TUI to view commit logs. Others may find git log --graph sufficient.<p>Personally, I found the output from git log --graph difficult to read, even with additional options. Learning complex tools just to view logs seemed cumbersome.<p>Limitations:<p>- Sixel is not supported. Only terminals that support the iTerm and kitty image protocols are supported.<p>- Terminal multiplexers are not supported.<p>- Windows is not supported.<p><a href="https:&#x2F;&#x2F;github.com&#x2F;lusingander&#x2F;serie" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;lusingander&#x2F;serie</a>

[Other] Celtic Code: Drawing Knots with Python

[DevOps] Oxy is Cloudflare's Rust-based next generation proxy framework (2023)

[Other] At the end you use `git bisect`

[Other] Mock – An API creation and testing utility: Examples

[Other] URLs are state containers

[Other] Show HN: Ambient light sensor control of keyboard and screen brightness in Linux I have always wanted cool features in Linux because I use it day to day as my OS. I have always wanted to implement this feature and do it properly: one that automatically adjusts keyboard and LCD backlights using data from the Ambient Light Sensor.<p>I enjoy low-level programming a lot. I delved into writing this program in C. It came out well and worked seamlessly on my device. Currently, it only works for keyboard lights. I designed it in a way that the support for LCD will come in seamlessly in the future.<p>But, in the real world, people have different kinds of devices. And I made sure to follow the iio implementation on the kernel through sysfs. I would like feedback. :)

[Other] GT – Experimental multiplexing tensor framework for distributed GPU computing