🛠️ All DevTools

[CLI Tool] Show HN: c0admin – A terminal-based AI assistant for Linux sysadmins I made a small CLI tool called `c0admin`. Runs locally using your own Gemini API key. No signup, no server, no tracking.<p>You just run `c0admin` in your terminal, and it gives you suggestions interactively.

[Testing] Go Interview Practice is a series of coding challenges to help you prepare for technical interviews in Go. Solve problems, submit your solutions, and receive instant feedback with automated testing. Track your progress with per-challenge scoreboards and improve your coding skills step by step.

[Other] A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev

[Other] A collection of inspiring lists, manuals, cheatsheets, blogs, hacks, one-liners, cli/web tools and more.

[IDE/Editor] Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflows - all through natural language commands.

[IDE/Editor] Show HN: VS Code extension to edit the filesystem like a text buffer This is a spiritual adaptation of oil.nvim for vscode. The main idea is you edit the filesystem by editing the current directory listing&#x27;s text buffer. For example, if I want to rename a file, I just rename it in the listing file. This is extremely powerful because it translates all of your text-editing skills immediately into file editing capabilities.<p>Some features:<p>* Create&#x2F;rename&#x2F;move&#x2F;delete files by editing the current directory listing&#x27;s textbuffer<p>* Filter using glob pattern<p>* Trash and undo support<p>* Works even in remote-ssh workspaces<p>* Works across multiple vscode windows

[Other] Atopile – Design circuit boards with code

[Other] Show HN: HNping 'remind me later' for HN via web push HNping lets you set a reminder for a HN post. You get a web push browser notification when it&#x27;s time, and clicking it takes you back to the post. That&#x27;s it.<p>I built HNping because I kept stumbling on HN posts where the discussion still had to get going. Wanted to revisit, but didn&#x27;t want to create even more bookmarks&#x2F;etc I&#x27;ll just forget about. So I created a &#x27;remind me later&#x27; tool (like the reddit bot) to fix this for myself.<p>To use it: go to hnping.com, enable notifications, and drag the bookmarklet to your bookmarks bar. Then click it on any HN post to set a reminder (5 minutes to 1 week). No personal info needed - you just get a UUID that serves as your account.<p>I tried to make it as simple as possible.<p>It&#x27;s built on a Cloudflare Worker with D1 for data storage and uses Firebase Cloud Messaging for push notifications.

[Other] Show HN: We developed an AI tool to diagnose car problems Hey HN,<p>We built AutoAI – an AI tool that tells you what&#x27;s wrong with your car in plain English.<p>Just enter:<p>Your car’s make&#x2F;model&#x2F;year<p>The OBD2 error codes (optional) (like P0420, P0171, etc.)<p>Any symptoms you&#x27;re noticing (e.g. “rough idle” or “weird sound when starting”)<p>And we’ll tell you:<p>The most likely issue<p>How to verify it yourself<p>Whether it’s a DIY fix or shop-worthy<p>No more endless Googling or forum-hopping. Built for car owners, tinkerers, and pros who want fast, reliable answers. Powered by a repair-trained AI using real-world automotive data.<p>We’re trying to make diagnostics smarter, not replace your mechanic – just make you way more informed before spending money.<p>Would love feedback or crazy edge-case inputs to improve it.

[Code Quality] Validate your php code for syntax errors ✅ Validate your PHP code for syntax errors with our free online PHP Code Checker. Easily detect and fix issues across multiple PHP versions for error-free code.

[Other] Build CRUD & Inventory apps in minutes with Java Build CRUD apps fast with Spring Boot. Includes inventory, user logs, RBAC, MySQL config, and full source code. Ideal for backend devs and freelancers who want to skip boilerplate and ship faster. Ready to run in minutes.

[Other] Create & Deploy Smart Contracts with Multi-Agent AI. No Code We've built a platform that removes the coding barrier for Smart Contract Token launches. Our core innovation lies in a sophisticated multi-agent AI architecture combined with Retrieval-Augmented Generation (RAG).

[Other] GBCMobile KW is your way to elevate your web3 level A web app allows you to elevate your level with crypto currencies that are available on SUI network and automate your trading orders.

[API/SDK] Modern scheduling api for developers | cron jobs made simple Build reliable scheduled tasks with ChronoAPI. Modern scheduling API with cron expressions, retry logic, and real-time monitoring. Pre-launch early access available.

[Other] ai tutors with spaced repetition we built codespaced to help us learn any coding library fast, think of it like anki but for coding + with ai tutors

[Other] Show HN: FluidAudio – Swift Speaker Diarization on CoreML We needed a speaker diarization solution that could run every few seconds alongside transcription on iOS and macOS. But native Swift support was either limited or locked behind paid licenses. Since diarization is a common need in speech-to-text workflows, we decided to open source our work and give back to the community.<p>We initially tried sherpa-onnx, which works, but running both diarization and transcription models slowed down older devices. CPU-only inference just isn’t ideal for near real-time workloads, so we wanted the option to offload segmentation and speaker embedding to the GPU or ANE. Supporting M1 Macs in particular meant pushing more of the workload to the ANE.<p>Instead of shoehorning the ONNX model into CoreML with C++, we converted the original PyTorch models directly to CoreML. This approach required some monkey-patching in the PyTorch and pyannote code, but the initial benchmarks look promising.<p>We’d love feedback! We&#x27;re currently working on adding VAD and integrating Parakeet for transcription, but still wrestling with CoreML model conversion.

[Other] Show HN: ArchGW – An intelligent edge and service proxy for agents Hey HN!<p>This is Adil, Salman and Jose and and we’re behind archgw [1]. An intelligent proxy server designed as an edge and AI gateway for agents - one that natively know how to handle prompts, not just network traffic. We’ve made several sweeping changes so sharing the project again.<p>A bit of background on why we’ve built this project. Building AI agent demos is easy, but to create something production-ready there is a lot of repeat low-level plumbing work that everyone is doing. You’re applying guardrails to make sure unsafe or off-topic requests don’t get through. You’re clarifying vague input so agents don’t make mistakes. You’re routing prompts to the right expert agent based on context or task type. You’re writing integration code to quickly and safely add support for new LLMs. And every time a new framework hits the market or is updated, you’re validating or re-implementing that same logic—again and again.<p>Putting all the low-level plumbing code in a framework gets messy to manage, harder to update and scale. Low-level work isn&#x27;t business logic. That’s why we built archgw - an intelligent proxy server that handles prompts during ingress and egress and offers several related capabilities from a single software service. It lives outside your app runtime, so you can keep your business logic clean and focus on what matters. Think of it like a service mesh, but for AI agents.<p>Prior to building archgw, the team spent time building Envoy [2] at Lyft, API Gateway at AWS, specialized NLP models at Microsoft Research and worked on safety at Meta. archgw was born out of the belief that rule-based, single-purpose tools that handle the work around resiliency, processing and routing prompts should move into a dedicated infrastructure layer for agents, but built on the battle-tested foundational of Envoy Proxy.<p>The intelligence in archgw comes from our fast Task-specific LLMs [3] that can handle things like agent routing and hand off, guardrails and preference-based intelligent LLM calling. Here are some additional details about the open source project. archgw is written in rust, and the request path has three main parts:<p>* Listener subsystem which handles downstream (ingress) and upstream (egress) request processing. * Prompt handler subsystem. This is where archgw makes decisions on the safety of the incoming request via its prompt_guard hooks and identifies where to forward the conversation to via its prompt_target primitive. * Model serving subsystem is the interface that hosts all the lightweight LLMs engineered in archgw and offers a framework for things like hallucination detection of our these models<p>We loved building this open source project, and our belief is that this infra primitive would help developers build faster, safer and more personalized agents without all the manual prompt engineering and systems integration work needed to get there. We hope to invite other developers to use and improve Arch. Please give it a shot and leave feedback here, or at our discord channel [4] Also here is a quick demo of the project in action [5]. You can check out our public docs here at [6]. Our models are also available here [7].<p>[1] <a href="https:&#x2F;&#x2F;github.com&#x2F;katanemo&#x2F;archgw">https:&#x2F;&#x2F;github.com&#x2F;katanemo&#x2F;archgw</a> [2] <a href="https:&#x2F;&#x2F;www.envoyproxy.io&#x2F;" rel="nofollow">https:&#x2F;&#x2F;www.envoyproxy.io&#x2F;</a> [3] <a href="https:&#x2F;&#x2F;huggingface.co&#x2F;collections&#x2F;katanemo&#x2F;arch-function-66" rel="nofollow">https:&#x2F;&#x2F;huggingface.co&#x2F;collections&#x2F;katanemo&#x2F;arch-function-66</a>... [4] <a href="https:&#x2F;&#x2F;discord.com&#x2F;channels&#x2F;1292630766827737088&#x2F;12926307682" rel="nofollow">https:&#x2F;&#x2F;discord.com&#x2F;channels&#x2F;1292630766827737088&#x2F;12926307682</a>... [5] <a href="https:&#x2F;&#x2F;www.youtube.com&#x2F;watch?v=I4Lbhr-NNXk" rel="nofollow">https:&#x2F;&#x2F;www.youtube.com&#x2F;watch?v=I4Lbhr-NNXk</a> [6] <a href="https:&#x2F;&#x2F;docs.archgw.com&#x2F;" rel="nofollow">https:&#x2F;&#x2F;docs.archgw.com&#x2F;</a> [7] <a href="https:&#x2F;&#x2F;huggingface.co&#x2F;katanemo" rel="nofollow">https:&#x2F;&#x2F;huggingface.co&#x2F;katanemo</a>

[Other] Aeron: Efficient reliable UDP unicast, UDP multicast, and IPC message transport

[Other] Show HN: I made a JSFiddle-style playground to test and share prompts fast I built this out of frustration as I lead the development of AI features at Yola.com.<p>Prompt testing should be simple and straightforward. All I wanted was a simple way to test prompts with variables and jinja2 templates across different models, ideally somthing I could open during a call, run few tests, and share results with my team. But every tool I tried hit me with a clunky UI, required login and API keys, or forced a lengthy setup process.<p>And that&#x27;s not all.<p>Then came the pricing. The last quote I got for one of the tools on the market was $6,000&#x2F;year for a team of 16 people in a use-it-or-loose-it way. For a tool we use maybe 2–3 times per sprint. That’s just ridiculous!<p>IMO, it should be something more like JSFiddle. A simple prompt playground that does not require you to signup, does not require API keys, and let&#x27;s experiment instantly, i.e. you just enter a browser URL and start working. Like JSFiddle has. And mainly, something that costs me nothing if I&#x27;m or my team is not using it.<p>Eventually I gave up looking for solution and decided to build it by myself.<p>Here it is: <a href="https:&#x2F;&#x2F;langfa.st" rel="nofollow">https:&#x2F;&#x2F;langfa.st</a><p>Help me find what&#x27;s wrong or missing or does not work from you perspctive.<p>P.S. I did not put any limits or restrictions yet, so test it wisely. Don&#x27;t make me broke, please.

[Other] Show HN: BinaryRPC – Lightweight WebSocket-based RPC framework in modern C++ Hi HN,<p>I’m a recent CS graduate. During the past few months I wrote BinaryRPC, an open-source RPC framework in modern C++20 focused on low-latency, binary WebSocket messaging.<p>Why I built it * Wanted first-class session support, pluggable QoS levels and a simple middleware chain (global, specific, multi handler) without extra JSON&#x2F;XML parsing. * Easy developer experience<p>A quick feature list * Binary WebSocket frames – minimal overhead * Built-in session layer (login &#x2F; reconnect &#x2F; heartbeat) * QoS1 &#x2F; QoS2 with automatic ACK &amp; retry * Plugin system – rooms, msgpack, etc. can be added in one line * Thread-safe core: RAII + folly<p>Still early (solo project), so any feedback on design, concurrency model or missing must-have features would help a lot.<p>Thanks for reading!<p>also see &quot;Chat Server in 5 Minutes with BinaryRPC&quot;: <a href="https:&#x2F;&#x2F;medium.com&#x2F;@efecanerdem0907&#x2F;building-a-chat-server-in-5-minutes-with-binaryrpc-qos2-session-management-and-room-plugin-ccb66d722466" rel="nofollow">https:&#x2F;&#x2F;medium.com&#x2F;@efecanerdem0907&#x2F;building-a-chat-server-i...</a>