🛠️ All DevTools

[IDE/Editor] Show HN: I spent 4 years building a UI design tool with only the features I use Hello everyone!<p>I&#x27;m a solo developer who&#x27;s been doing UI&#x2F;UX work since 2007. Over the years, I watched design tools evolve from lightweight products into bloated feature-heavy platforms. I kept finding myself using a small amount of the features while the rest just mostly got in the way.<p>So a few years ago I set out to build a design tool just like I wanted. So I built Vecti with what I actually need: pixel-perfect grid snapping, a performant canvas renderer, shared asset libraries, and export&#x2F;presentation features. No collaborative whiteboarding. No plugin ecosystem. No enterprise features. Just the design loop.<p>Four years later, I can proudly show it off. Built and hosted in the EU with European privacy regulations. Free tier available (no credit card, one editor forever).<p>On privacy: I use some basic analytics (page views, referrers) but zero tracking inside the app itself. No session recordings, no behavior analytics, no third-party scripts beyond the essentials.<p>If you&#x27;re a solo designer or small team who wants a tool that stays out of your way, I&#x27;d genuinely appreciate your feedback: <a href="https:&#x2F;&#x2F;vecti.com" rel="nofollow">https:&#x2F;&#x2F;vecti.com</a><p>Happy to answer questions about the tech stack, architecture decisions, why certain features didn&#x27;t make the cut, or what&#x27;s next.

[Other] Show HN: Daily-updated database of malicious browser extensions Hey HN, I built an automated system that tracks malicious Chrome&#x2F;Edge extensions daily.<p>The database updates automatically by monitoring chrome-stats for removed extensions and scanning security blogs. Currently tracking 1000+ known malicious extensions with extension IDs, names, and dates.<p>I&#x27;m working on detection tools (GUI + CLI) to scan locally installed extensions against this database, but wanted to share the raw data first since maintained threat intelligence lists like this are hard to find.<p>The automation runs 24&#x2F;7 and pushes updates to GitHub. Free to use for research, integration into security tools, or whatever you need.<p>Happy to answer questions about the scraping approach or data collection methods.

[Other] Visualize, collaborate, and evolve the software architecture with always actual and live diagrams from your code

[Other] Show HN: GitClaw – An AI assistant that runs in GitHub Actions

[Other] WisprFlow for vibe coders w/ voice shortcuts Voice-to-code prompt engineering for developers. Talk naturally, ship production-ready code. CyphrKey transforms casual speech into optimized prompts for your AI coding tools. Three modes: Echo (clean transcription), Cyphr (debugging prompts), and Composer (production-ready instructions with error handling, types, and accessibility). It knows your codebase, references your actual files, and works with Claude Code, Cursor, and any AI tool. Free 5-day trial.

[CLI Tool] Ship faster from your terminal — with any LLM you choose AI coding tools hallucinate. Forge doesn't. It fetches real docs for any library you're using. It sees your actual type errors via LSP. It understands your codebase semantically. → Works with any LLM (OpenAI, Claude, Gemini, Ollama) → Runs entirely in your terminal → Your code stays local One command: npm install -g codeforge-cli Then just type: forge No IDE. No subscription. Just code.

[Other] Signal-driven datepicker for modern Angular apps A high-performance, enterprise-ready datepicker built from the ground up with Angular Signals. Features native dark mode, mobile-first UX, 8-language i18n, zoneless support, and zero dependencies. Perfect for Angular 17+ applications.

[Other] Show HN: Artifact Keeper – Open-Source Artifactory/Nexus Alternative in Rust I&#x27;m a software engineer who keeps getting pulled into DevOps no matter how hard I try to escape it. I recently moved into a Lead DevOps Engineer role writing tooling to automate a lot of the pain away. On my own time outside of work, I built Artifact Keeper — a self-hosted artifact registry that supports 45+ package formats. Security scanning, SSO, replication, WASM plugins — it&#x27;s all in the MIT-licensed release. No enterprise tier. No feature gates. No surprise invoices.<p>Your package managers — pip, npm, docker, cargo, helm, go, all of them — talk directly to it using their native protocols. Security scanning with Trivy, Grype, and OpenSCAP is built in, with a policy engine that can quarantine bad artifacts before they hit your builds. And if you need a format it doesn&#x27;t support yet, there&#x27;s a WASM plugin system so you can add your own without forking the backend.<p>Why I built it:<p>Part of what pulled me into computers in the first place was open source. I grew up poor in New Orleans, and the only hardware I had access to in the early 2000s were some Compaq Pentium IIs my dad brought home after his work was tossing them out. I put Linux on them, and it ran circles around Windows 2000 and Millennium on that low-end hardware. That experience taught me that the best software is software that&#x27;s open for everyone to see, use, and that actually runs well on whatever you&#x27;ve got.<p>Fast forward to today, and I see the same pattern everywhere: GitLab, JFrog, Harbor, and others ship a limited &quot;community&quot; edition and then hide the features teams actually need behind some paywall. I get it — paychecks have to come from somewhere. But I wanted to prove that a fully-featured artifact registry could exist as genuinely open-source software. Every feature. No exceptions.<p>The specific features came from real pain points. Artifactory&#x27;s search is painfully slow — that&#x27;s why I integrated Meilisearch. Security scanning that doesn&#x27;t require a separate enterprise license was another big one. And I wanted replication that didn&#x27;t need a central coordinator — so I built a peer mesh where any node can replicate to any other node. I haven&#x27;t deployed this at work yet — right now I&#x27;m running it at home for my personal projects — but I&#x27;d love to see it tested at scale, and that&#x27;s a big part of why I&#x27;m sharing it here.<p>The AI story (I&#x27;m going to be honest about this):<p>I built this in about three weeks using Claude Code. I know a lot of you will say this is probably vibe coding garbage — but if that&#x27;s the case, it&#x27;s an impressive pile of vibe coding garbage. Go look at the codebase. The backend is ~80% Rust with 429 unit tests, 33 PostgreSQL migrations, a layered architecture, and a full CI&#x2F;CD pipeline with E2E tests, stress testing, and failure injection.<p>AI didn&#x27;t make the design decisions for me. I still had to design the WASM plugin system, figure out how the scanning engines complement each other, and architect the mesh replication. Years of domain knowledge drove the design — AI just let me build it way faster. I&#x27;m floored at what these tools make possible for a tinkerer and security nerd like me.<p>Tech stack: Rust on Axum, PostgreSQL 16, Meilisearch, Trivy + Grype + OpenSCAP, Wasmtime WASM plugins (hot-reloadable), mesh replication with chunked transfers. Frontend is Next.js 15 plus native Swift (iOS&#x2F;macOS) and Kotlin (Android) apps. OpenAPI 3.1 spec with auto-generated TypeScript and Rust SDKs.<p>Try it:<p><pre><code> git clone https:&#x2F;&#x2F;github.com&#x2F;artifact-keeper&#x2F;artifact-keeper.git cd artifact-keeper docker compose up -d </code></pre> Then visit http:&#x2F;&#x2F;localhost:30080<p>Live demo: <a href="https:&#x2F;&#x2F;demo.artifactkeeper.com" rel="nofollow">https:&#x2F;&#x2F;demo.artifactkeeper.com</a> Docs: <a href="https:&#x2F;&#x2F;artifactkeeper.com&#x2F;docs&#x2F;" rel="nofollow">https:&#x2F;&#x2F;artifactkeeper.com&#x2F;docs&#x2F;</a><p>I&#x27;d love any feedback — what you think of the approach, what you&#x27;d want to see, what you hate about Artifactory or Nexus that you wish someone would just fix. It doesn&#x27;t have to be a PR. Open an issue, start a discussion, or just tell me here.<p><a href="https:&#x2F;&#x2F;github.com&#x2F;artifact-keeper" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;artifact-keeper</a>

[Other] GitHub Actions is slowly killing engineering teams

[API/SDK] Show HN: Calfkit – an SDK to build distributed, event-driven AI agents on Kafka I think agents should work like real teams, with independent, distinct roles, async communication, and the ability to onboard new teammates or tools without restructuring the whole org. I built backend systems at Yahoo and TikTok so event-driven agents felt obvious. But no agent SDKs were using this pattern, so I made Calfkit.<p>Calfkit breaks down agents into independent services (LLM inference, tools, and routing) that communicate asynchronously through Kafka. Agents, tool services, and downstream consumers can be deployed, added-to, removed, and scaled independently.<p>Check it out if this interests you! I’m curious to see what y’all think.

[Other] Show HN: Accept-md – One command to make Next.js sites LLM-scraping friendly I recently saw a post from the Vercel CEO pointing out that LLMs understand websites much better when they can request:<p>`Accept: text&#x2F;markdown`<p>Most websites today are built for humans. When AI agents try to consume them, they get complex HTML instead of clean, structured content.<p>So I built *accept-md* – a simple open-source package for Next.js that helps solve this.<p>Getting started is intentionally minimal:<p>``` npx accept-md init ```<p>After that, your existing Next.js routes can automatically respond with Markdown whenever an AI agent (or any client) requests it. No redesigns, no CMS changes, and no duplicate pages to maintain.<p>Right now the project is:<p>* Focused only on Next.js * Middleware-based and lightweight * Designed to work with existing apps * A small step toward more AI-friendly websites<p>This is an early experiment, but I think the idea itself matters as AI agents become first-class consumers of the web.<p>I’ve open-sourced it and would love help with:<p>* Better markdown extraction * Edge cases across Next.js setups * Performance and caching * Tests and examples * Documentation * Eventually adapters for other frameworks<p>Would love feedback from the HN community on the approach – and whether `Accept: text&#x2F;markdown` feels like a pattern worth standardizing for the AI-native web.

[Other] We tasked Opus 4.6 using agent teams to build a C Compiler

[Other] A small, shared skill library by builders, for builders. (human and agent)

[Other] Simple Rust VPN Client / Server

[Other] Open-source video editing & rendering SDK for the web High-performance browser-based video rendering engine powered by WebCodecs and PixiJS. Build professional video editors with ease.

[IDE/Editor] Full project management inside VS Code, Cursor & Windsurf GitScrum Studio isn't just another task list extension. It's the entire project management platform embedded inside your IDE. Stop alt-tabbing to browser. Manage Kanban boards, sprints, chat with your team, track time, access files, discussions & wiki - all without leaving VS Code, Cursor, or Windsurf. Zero browser tabs. Zero context switching. Maximum focus. Built with Laravel backend, optimized for real-time performance.

[Other] Convert your Github Commits to clever X posts Automatically generate AI-enhanced social media posts from your GitHub commits. Build your developer brand with ready-to-share content that showcases your work.

[Other] CLI control to monitor and work with Claude Code remotely SessionCast lets you remotely access Claude Code running on your local machine from any device. Working with Claude Code on your home PC but need to step out? Traditional remote access requires VPN setup, SSH configuration, tmux, port forwarding... and after all that, non-ASCII characters still break. Run our lightweight agent on your PC, then access your Claude Code session from any web browser — phone, tablet, or another computer. No VPN. No SSH keys. No complex setup. Just works.

[Other] Free, shareable workflow graphs. Visualize your LLM workflows as interactive & shareable graphs. Point Codag at your codebase — it maps every LLM call, branch, and data flow. Click any node to jump to source. Live updates as you code. Self-hosted, open source.

[Other] JSON into interactive graphs and trees JsonMap is a modern, developer-friendly platform designed to simplify working with structured data. It allows users to visualize, edit, format, and convert JSON into multiple formats including CSV, YAML, XML, and TOML — all within an intuitive and responsive interface. Unlike traditional JSON viewers, JsonMap transforms complex and deeply nested data into interactive tree and graph visualizations, making exploration and debugging significantly easier.