🛠️ All DevTools

[Other] Find developer tools that truly matter. A curated guide to mainstream developer tools designed to boost your productivity. Instead of getting lost in a sea of niche applications, this collection focuses on the tools that truly matter, trusted and used by professional developers around the globe.

[Other] Online free image mosaic Online free image mosaic tool to pixelate images, support full mosaic, rectangle area and brush, download in one click.

[Other] Gpu benchmarking & performance testing Test your GPU performance with CZNull's advanced WebGL benchmarks. Free browser-based testing for graphics cards, no downloads required. Start now!

[DevOps] Kubernetes clusters on your own Hetzner account. EDKA makes running Kubernetes on Hetzner Cloud simple, fast, and affordable. • Spin up clusters in ~2 minutes • One click apps and add-ons • Easy deployments with semver updates, autoscaling, rollbacks, persistent volumes, secrets and public exposure

[API/SDK] License management made easy and affordable for developers Building RedPass – a lightweight solution for creating & managing licenses. Different by others with a plug-and-play API, clean dashboard, and pay only for what you need, no pricing plans that forces you to pay for features you don’t actually use.

[Other] Simple & Straightforward | Lightweight Daily Goal Tracking DailyChecks is the best free daily task tracker app and to do list tracker app. Track your daily goals, boost productivity, and build lasting habits with our intuitive point-based system. Completely free forever.

[Other] Show HN: The Blots Programming Language I&#x27;ve been working on this small, slightly weird expression-oriented programming language for a little while now and feel ready to share it with others. I use it pretty often now in my day-to-day and work life, as a scratchpad for doing a bit of quick math or picking some pieces of data out of a JSON payload.<p>Would really appreciate any feedback about the syntax, docs, features that are glaringly missing, etc. Before anybody mentions it: I know the performance is pretty lousy when dealing with a lot of data. If you can believe it, the runtime is about 100x faster than it used to be! Long term I&#x27;d like to switch to a proper bytecode interpreter, but so far performance has been Good Enough for my use cases.<p>Thanks for taking a look!

[DevOps] Show HN: OS layer for running multiple Codex agents in parallel We built an open source layer to orchestrate multiple Codex agents in parallel. Found myself and some friends running Codex agents across multiple terminals. Thats why me and a friend built emdash. Each agent gets its own isolated workspace, making it easy to see who’s working, who’s stuck, and what’s changed.

[Other] Smooth weighted round-robin balancing

[CLI Tool] Show HN: GPU Kill – A CLI tool to kill stuck GPU jobs without rebooting

[Other] Bitnami container images

[API/SDK] Generate, edit, lint & test your API workflow in one place Go from idea to tested API fast. Generate or import OpenAPI, edit with AI, lint, preview docs, and run calls in one place. Insights highlight Design/DX/Security and AI-readiness. Privacy-first and secure with your own model/key. One-click MCP export.

[Other] AI-powered insights & visualizations for GitHub repos RepoVis turns GitHub repositories into clear, interactive visualizations powered by AI. Instantly analyze architecture, dependencies, and code quality. Perfect for developers, teams, and vibe coders who want to understand codebases faster.

[Other] Job board for software engineers with 10+ job filters Job board for software engineers created using the MERN stack that lets candidates save hours searching for jobs relevant to their experience and seniority by using 10+ filters including coding language, skill/framework, seniority level, salary and more.

[CLI Tool] Smart CLI tool to dump code into clean Markdown dumpall is a simple CLI that aggregates project files into a clean Markdown doc. 🧹 Perfect for AI context, code reviews, or archiving. Features: AI-ready output, --clip for clipboard, smart exclusions, Unix-inspired simplicity.

[Other] Open source MCP server for AI coding context Supercharge your AI coding assistant with real-time precise context, deep documentation research, and semantic search. Open source, local, easy to use, From Cased.

[Other] Show HN: Nallely – A Python signals/MIDI processing system inspired by Smalltalk Nallely is about experimenting with signals: routing, patching, or writing small neurons that process signals and eventually sink in MIDI devices or any application connected to Nallely.<p>I try to get inspired by the &quot;Systems as a Living Things&quot; philosophy and aim, step by step, to create an auto-adaptive, resilient, distributed system. Currently, neurons live in their own thread in a session (world), and send signals (messages) to each other through patches (channels). You can also connect to a network-bus neuron to register your own neurons written in any other technology and have them interact with the existing neurons inside the world. Nallely offers an API to easily code your own reactive neurons, and provides a mobile-friendly GUI for patching everything visually.<p>As anyone posting something based on Python, I can already hear: &quot;no, Python&#x27;s bad, think about the performances, think about the children&quot;.<p>We all know about Python performances (we&#x27;ve all seen the animation with the moving balls and stuff), but the focus here is on dynamic and emergent behaviors, extensibility, and run time adaptability over extreme performance. Even though Nallely is written in pure Python, it runs on a Raspberry Pi 5 (ok, a powerful one), consuming less than 10% CPU on a normal usage and around 40MB of memory.<p>And, as someone mentioning Smalltalk, I can already hear: &quot;Why didn&#x27;t you write it in Smalltalk&quot;? (replace Smalltalk by your prefered dialect)<p>I like Smalltalk, but I also like Python. Nailed it, perfect justification. Jokes aside, IMO Smalltalk is &quot;Systems as Living Things&quot; pushed at its extreme for designing a language, and I admire that. With Nallely, I want to explore the same philosophy: independent musical&#x2F;signal-processing neurons, without relying on Smalltalk, while benefiting from Python&#x27;s deployment and ecosystem advantages (compared to Smalltalk).

[Other] Show HN: Dyad, local, open-source Lovable alternative (Electron desktop app) Hi HN!<p>I left Google earlier this year and created Dyad, a local, open-source AI app builder made with Electron.<p>The motivation: I tried one of the popular cloud-based AI app builders, but when I pulled down the app to run locally and debug in Cursor, it just didn’t work. So I created Dyad, an app builder that runs fully on your computer, making it easy to switch between Dyad and coding tools like Cursor or Claude Code.<p>Source code: <a href="https:&#x2F;&#x2F;github.com&#x2F;dyad-sh&#x2F;dyad&#x2F;" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;dyad-sh&#x2F;dyad&#x2F;</a><p>Download (free, no sign-up): <a href="https:&#x2F;&#x2F;www.dyad.sh&#x2F;" rel="nofollow">https:&#x2F;&#x2F;www.dyad.sh&#x2F;</a><p>I&#x27;ve gotten questions about how it works under the hood so I wrote an architecture doc explaining how it does tool calling using XML tags, etc: <a href="https:&#x2F;&#x2F;github.com&#x2F;dyad-sh&#x2F;dyad&#x2F;blob&#x2F;main&#x2F;docs&#x2F;architecture.md" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;dyad-sh&#x2F;dyad&#x2F;blob&#x2F;main&#x2F;docs&#x2F;architecture....</a><p>Let me know what you think and happy to answer questions about building an Electron app, etc!

[Other] Show HN: I made AquaShell, a scripting and automation environment for Windows Being inspired by old third-party scripting environments such as AutoIt or AutoHotkey, I&#x27;ve developed my own scripting environment for Windows. I&#x27;ve always been fascinated by creating an own programming language and I made the syntax in a way it feels more like something that contains a personal flavor.<p>The language matured over the years and I both use it for administration and automation tasks, but also for fully scripted applications as well.<p>On the homepage, you&#x27;ll find various production scripts as well as links to scripted applications.<p>The scripting environment is free and open-source software, released under the MIT license.

[Other] Show HN: Nanobot – Turn MCP servers into full AI agents Today we&#x27;re releasing Nanobot an open-source framework for building AI agents on top of the Model Context Protocol (MCP).<p>MCP servers are a great way to expose structured tools, but they’re usually just that—collections of functions. Nanobot makes it simple to wrap any MCP server with reasoning, a system prompt, and orchestration so it behaves like a real agent. Even better, Nanobot fully supports MCP-UI, so agents can pass rich interactive components (forms, dashboards, even mini-apps) directly into chat.<p>A simple example: if you had a Blackjack MCP server with tools like deal, bet, and hit, you could wrap it with Nanobot to create a dealer agent that knows how to explain the game, guide a player, and render an interactive Blackjack table inside chat.<p>We built this because we wanted agents that go beyond text and function calls, into actual interactive experiences—something useful for everything from games to e-commerce to developer tools.<p>Code is on GitHub: <a href="https:&#x2F;&#x2F;github.com&#x2F;nanobot-ai&#x2F;nanobot" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;nanobot-ai&#x2F;nanobot</a><p>Live demo (Blackjack): <a href="https:&#x2F;&#x2F;blackjack.nanobot.ai" rel="nofollow">https:&#x2F;&#x2F;blackjack.nanobot.ai</a><p>We’d love feedback from this community—on the framework, the design, and what you’d like to see next.