🛠️ All DevTools

[Other] Show HN: Powerful Visual Programming Language (Book) Throughout my 30+ software development career, after spending many sleepless nights digging up through enormous codebases to understand logic or fix a bug, I was thinking: &quot;There must be a better, visual way to represent program rather than text&quot;. However, no usable visual programming language popped up on horizon for the whole duration of 30+ years of my career. Therefore, I decided to take matters in my own hands, creating new visual programming language called &quot;Pipe&quot;. A book about this language was published recently. The book is available for free on Amazon Kindle and Apple iBooks.<p>Language Pipe has a level of sophistication and power comparable to existing most powerful textual languages and therefore, it has a very high chances to successfully compete with text-based programming. The book provides full and comprehensive language specification. On top of that, the book contains many features and ideas planned for future versions of the language.<p>Pipe implements many novel concepts and unique features. As a result, multiple patent applications have already been filed and pending. The published book contains complete language specification, including graphical notation of all its elements and full API specification for code integration. Pipe has the following features:<p>* General-purpose visual language.<p>* Compact but powerful language.<p>* Complete and detailed language specification.<p>* Practical visual language.<p>* API specification for integration with non-visual languages.<p>* Statically-typed language.<p>* Long-term plans for future versions.<p>* Augmentation of AI code generation.<p>* Language for the next generation of low-code systems.<p>The problem of AI code generation is that it is very difficult to prepare complete and precise input specifications, especially in case of a large project. The solution is generating code only for base-level components easily explainable to AI, completing the rest of application via manual coding. That, however, undermines the goal of leveraging AI to remove the need for human programming. Pipe provides an alternative to textual coding by encapsulating AI-generated components within visual blocks for building the rest of application as graphical workflows via an intuitive drag-and-drop interface. As a next level of Pipe evolution, AI will be generating complete visual workflows directly, making it much easier to understand and modify generated logic.<p>Usage of a general-purpose visual programming language Pipe to connect blocks containing AI-generated code can inspire the next generation of extremely versatile low-code platforms, as AI code generation followed by visual integration of generated components is a very powerful low-code framework. Users will be able to generate new components using AI and that solves the problem of limited customization in existing low-code platforms where components are mostly predefined. On top of that, common visual programming language Pipe will ensure portability of low-code projects between different platforms.<p>Please find PDF with book preview here: <a href="https:&#x2F;&#x2F;www.pipelang.com&#x2F;sample&#x2F;sample.pdf" rel="nofollow">https:&#x2F;&#x2F;www.pipelang.com&#x2F;sample&#x2F;sample.pdf</a>

[API/SDK] Show HN: FLE v0.3 – Claude Code Plays Factorio We&#x27;re excited to release v0.3.0 of the Factorio Learning Environment (FLE), an open-source environment for evaluating AI agents on long-horizon planning, spatial reasoning, and automation tasks.<p>== What is FLE? ==<p>FLE uses the game Factorio to test whether AI can handle complex, open-ended engineering challenges. Agents write Python code to build automated factories, progressing from simple resource extraction (~30 units&#x2F;min) to sophisticated production chains (millions of units&#x2F;sec).<p>== What&#x27;s new in 0.3.0 ==<p>- Headless scaling: No longer needs the game client, enabling massive parallelization!<p>- OpenAI Gym compatibility: Standard interface for RL research<p>- Claude Code integration: We&#x27;re livestreaming Claude playing Factorio [on Twitch](<a href="http:&#x2F;&#x2F;twitch.tv&#x2F;playsfactorio" rel="nofollow">http:&#x2F;&#x2F;twitch.tv&#x2F;playsfactorio</a>)<p>- Better tooling and SDK: 1-line CLI commands to run evaluations (with W&amp;B logging)<p>== Key findings ==<p>We evaluated frontier models (Claude Opus 4.1, GPT-5, Gemini 2.5 Pro, Grok 4) on 24 production automation tasks of increasing complexity.<p>Even the best models struggle:<p>- Most models still rely on semi-manual strategies rather than true automation<p>- Agents rarely define helper functions or abstractions, limiting their ability to scale<p>- Error recovery remains difficult – agents often get stuck in repetitive failure loops<p>The performance gap between models on FLE correlates more closely with real-world task benchmarks (like GDPVal) than with traditional coding&#x2F;reasoning evals.<p>== Why this matters ==<p>Unlike benchmarks based on exams that saturate quickly, Factorio&#x27;s exponential complexity scaling means there&#x27;s effectively no performance ceiling. The skills needed - system debugging, constraint satisfaction, logistics optimization - transfer directly to real challenges.<p>== Try it yourself ==<p>&gt;&gt;&gt; uv add factorio-learning-environment<p>&gt;&gt;&gt; uv add &quot;factorio-learning-environment[eval]&quot;<p>&gt;&gt;&gt; fle cluster start<p>&gt;&gt;&gt; fle eval --config configs&#x2F;gym_run_config.json<p>We&#x27;re looking for researchers, engineers, and modders interested in pushing the boundaries of agent capabilities. Join our Discord if you want to contribute. We look forward to meeting you and seeing what you can build!<p>-- FLE Team

[CLI Tool] CLI tool to convert OpenBSD Packet Filter config files to JSON and vice versa

[API/SDK] Show HN: API for removing watermarks from Sora 2 videos Computer vision for detection, advanced inpainting for removal, FFmpeg for audio handling. Simple REST endpoints with webhook callbacks for async processing.<p>Built this after seeing developers struggle with building their own ML pipelines for video post-processing. The API handles the complexity—you just POST a video and get back a clean file

[Other] Lessons learned from building an infrastructure devtool

[Other] Arbitrary code execution in Unity Runtime

[Other] The Symfony PHP framework

[DevOps] A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.

[API/SDK] Programmatically convert any IP into GEO location instantly Ip2Geo is a super-lightweight and type-safe library that allows you to convert any IP to geolocation data, 100% free with unlimited uses—no catch. It works exclusively online and can run on both the client and server.

[Other] Accelerate UI development with StackBits. StackBits is an open-source library of animated React + Tailwind components and full-stack snippets. Build modern apps faster with ready-to-use UI, Framer Motion animations, and utilities—polished, playful, and free to use, share, and extend.

[Other] AI-ready JSON snapshots of your live DOM 1-click snapshots of an element’s runtime DOM into clean JSON (attributes, text, computed styles, visibility, hierarchy). Works in Chrome, Firefox & Arc. Local-only, zero telemetry. Ideal for LLM prompts, QA/UX reviews and debugging.

[Other] ChatGPT for Hardware Buildables is an AI co-engineer that lets anyone create prototypes. With one prompt, it designs hardware and software using off‑the‑shelf parts, printable components, and ready‑to‑run code.

[CLI Tool] Show HN: Pluqqy – Terminal based context management tool for AI coding I vibe-coded a terminal tool called Pluqqy (I had a dormant domain on hand) to help me keep LLM context organized while coding with AI. It’s my first time writing Go and my first terminal app, built almost entirely with Claude Code.<p>• What it does: Pluqqy lets you manage prompts, rules, and context as small building blocks, then stitch them together into a single file (like AGENT.md or CLAUDE.md) that your coding agent can consume. It’s meant to reduce context drift and make iteration easier.<p>• Why I built it: I was losing track of my agent context between sessions and wanted something lightweight, reproducible, and terminal-native.<p>• Status: This is more of an experiment &#x2F; thought-tool than a maintained project. It works on Mac; Windows&#x2F;Linux haven’t been tested much.<p>• Install: go install github.com&#x2F;pluqqy&#x2F;pluqqy-terminal&#x2F;cmd&#x2F;pluqqy@latest<p>• Landing page: <a href="https:&#x2F;&#x2F;pluqqy.com" rel="nofollow">https:&#x2F;&#x2F;pluqqy.com</a> (just had fun with it)

[Other] Show HN: YNOT – Free, Open-Source YouTube Downloader Hey HN! I built YNOT, a simple cross-platform YouTube downloader with a GUI.<p>It&#x27;s powered by yt-dlp and completely free&#x2F;open-source (WTFPL license).<p>Key features: - Simple GUI - just paste URL and download - Downloads HD&#x2F;4K videos - Cross-platform (Windows, macOS, Linux) - No ads, no tracking, completely private - Lightweight and fast<p>GitHub: <a href="https:&#x2F;&#x2F;github.com&#x2F;james-see&#x2F;ynot" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;james-see&#x2F;ynot</a><p>I&#x27;d love to hear your feedback and suggestions!

[Other] Solveit – A course and platform for solving problems with code

[Other] Show HN: Enhance – A Terminal UI for GitHub Actions I&#x27;m very excited to share what I&#x27;ve been working on lately!<p>Introducing ENHANCE, a terminal UI for GitHub Actions that lets you easily see and interact with your PRs checks.<p>It&#x27;s available under a sponsorware model. Get more info on the site:<p>-&gt; <a href="https:&#x2F;&#x2F;gh-dash.dev&#x2F;enhance" rel="nofollow">https:&#x2F;&#x2F;gh-dash.dev&#x2F;enhance</a><p>This is an attempt to make my OSS development something sustainable. Happy to hear feedback about the model as well as the tool! Cheers!

[Other] Babel is why I keep blogging with Emacs <a href="https:&#x2F;&#x2F;orgmode.org&#x2F;worg&#x2F;org-contrib&#x2F;babel&#x2F;" rel="nofollow">https:&#x2F;&#x2F;orgmode.org&#x2F;worg&#x2F;org-contrib&#x2F;babel&#x2F;</a>

[Other] Launch HN: Simplex (YC S24) – Browser automation platform for developers Hi HN! We’re Marco and Shreya, founders of Simplex (<a href="https:&#x2F;&#x2F;www.simplex.sh&#x2F;">https:&#x2F;&#x2F;www.simplex.sh&#x2F;</a>). We’re building all the infrastructure you need for modern browser automation – including remote browsers, steerable web agents, and more.<p>Here’s a demo: <a href="https:&#x2F;&#x2F;youtu.be&#x2F;7KpWJbOcm1Y" rel="nofollow">https:&#x2F;&#x2F;youtu.be&#x2F;7KpWJbOcm1Y</a><p>We’re excited to be posting on HN again! Back in January, we Show HN’d the earliest version of Simplex (<a href="https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=42704160">https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=42704160</a>). We’ve now spent close to a year working with real customers, forward-deploying into their codebases, and building web agent systems for them from the ground up to understand what it takes to get agents working in production.<p>We built Simplex because we started seeing a pattern: companies would initially roll their own Playwright&#x2F;Stagehand web automation solutions. This worked fine in the early prototype stages, but they’d quickly get overwhelmed with technical challenges as they productionized automations across all the websites their customers use.<p>As they scaled, they’d have to build and manage:<p>- Chrome infrastructure: You&#x27;ll need remote browsers, extension support, browser settings for anti-bot detection&#x2F;stealth, and a hundred more small fixes.<p>- DOM parsing: We’ve seen many web portals have really weird quirks (nested iframes, shadow DOM elements, dynamic loading, popups, unstable selectors, etc..) that are hard to parse with traditional&#x2F;existing browser agents.<p>- Agent context engineering: Website state, user prompts, system prompts, past actions all take up a massive amount of context. Without managing this, agents can get caught in loops or take wrong actions.<p>- Caching&#x2F;reliability: No matter how perfect your prompts are, it’s hard to guarantee consistency without caching&#x2F;deterministic actions.<p>- Login&#x2F;2FA: Solve captcha, fetch 2FA from email&#x2F;text&#x2F;Google Auth, encrypt&#x2F;decrypt credentials to access portals blocked by login.<p>- Automation management: You’ll have to store all your prompts, scrapers, and agents, and find a way to make them reusable if you have the same workflows across different portals.<p>- User interface: Creating new workflows + debugging can take time. You’ll have to find easy ways to expose this to your engineers to make the process more efficient when you have hundreds of automations to build.<p>Simplex is a proper solution that handles all of the above for you. We offer both an UI&#x2F;dashboard (which is what we use even as technical developers) and an extensive API for customers who are using Simplex in their existing AI agents. Our dashboard&#x2F;API docs are here: <a href="https:&#x2F;&#x2F;simplex.sh&#x2F;docs">https:&#x2F;&#x2F;simplex.sh&#x2F;docs</a>. We’d love for you to check them out!<p>You can get started for free with Simplex at (<a href="https:&#x2F;&#x2F;www.simplex.sh&#x2F;">https:&#x2F;&#x2F;www.simplex.sh&#x2F;</a>) (you have to register to prevent abuse since we’re giving you a remote browser that connects to the internet).<p>Our first users have been AI companies across different industries like accounting, logistics&#x2F;transportation, customer service, and healthtech. We’ve seen them:<p>- Fill out prior authorization forms on medical provider portals<p>- Download hundreds of PDFs from grocer portals across the US<p>- Automate and scrape structured data from traditional ERPs like NetSuite<p>- Submit bids&#x2F;shipments on logistics&#x2F;TMS portals<p>- Scrape lawyer&#x2F;doctor license information across public government portals<p>- And more!<p>We’re excited to see more use cases as we open up the platform – this is our first time doing self-serve.<p>Wanted to end with a quick thank you to HN. The feedback on our first Show HN gave us confidence to steer our product in this direction, and has deeply shaped the last year of our lives. We’d love feedback, especially from anyone who’s tried solving this problem or built similar tools.<p>Happy to answer questions and looking forward to your comments!

[IDE/Editor] Show HN: Grapes Studio – HTML-first WYSIWYG website editor with LLM assistant I’ve been working with @artf (creator of GrapesJS) on Grapes Studio, an HTML-first editor with an LLM assistant on top of GrapesJS.<p>We’re approaching this differently than the new wave of AI app&#x2F;site builders which are typically generating full React applications, which we think is overkill for simple websites. From talking to people using these tools, we’ve seen a lot of issues with build errors and overly complicated pages.<p>With our approach you can:<p>- Edit visually via the no-code editor (drag&#x2F;drop) or ask the LLM to make scoped changes (like “add a section” or “add a new page”).<p>- Build with straight HTML&#x2F;CSS<p>- Ask AI to import your current site and start building from there instead of total rebuild.<p>We think there’s a lot of benefit using drag and drop editor functionality with LLMs, or you can jump straight into the code in the editor if you choose.<p>- Do you see value in this hybrid model (AI + visual + code editing)?<p>- What are the biggest blockers you’ve run into with AI-only builders?<p>Let us know what you think.

[Database] The financial transactions database designed for mission critical safety and performance.