🛠️ All DevTools

[CLI Tool] Show HN: Run – a CLI universal code runner I built while learning Rust Hi HN — I’m learning Rust and decided to build a universal CLI for running code in many languages. The tool, Run, aims to be a single, minimal dependency utility for: running one-off snippets (from CLI flags), running files, reading and executing piped stdin, and providing language-specific REPLs that you can switch between interactively. I designed it to support both interpreted languages (Python, JS, Ruby, etc.) and compiled languages (Rust, Go, C&#x2F;C++). It detects languages from flags or file extensions, can compile temporary files for compiled languages, and exposes a unified REPL experience with commands like :help, :lang, and :quit. Install: cargo install run-kit (or use the platform downloads on GitHub). Source &amp; releases: <a href="https:&#x2F;&#x2F;github.com&#x2F;Esubaalew&#x2F;run" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;Esubaalew&#x2F;run</a> I used Rust while following the official learning resources and used AI to speed up development, so I expect there are bugs and rough edges. I’d love feedback on: usability and UX of the REPL, edge cases for piping input to language runtimes, security considerations (sandboxing&#x2F;resource limits), packaging and cross-platform distribution. Thanks — I’ll try to answer questions and share design notes.

[Other] A comparison of Ada and Rust, using solutions to the Advent of Code

[Other] Microformats – building blocks for data-rich web pages

[DevOps] dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.

[IDE/Editor] The first GPU-native code editor with AI RightNow AI is the first CUDA-native code editor. It brings real-time GPU profiling, AI optimization, GPU virtualization, and a full emulator into one environment, helping developers build faster and more efficient CUDA applications

[Other] A cross-platform blockchain Shell Client based on XLayer 🎉 Big news! Windows version + Open-source release! Our latest release includes: ✅ Native Windows support ✅ Open-source codebase ✅ Testnet & Mainnet versions Try it now → https://github.com/AceXiamo/Nexion

[Other] Your snippet vault. Save, organize & share code snippets Snippetly helps developers and teams capture, organize, and share code snippets instantly. Build your personal snippet vault with tags, search, and sharing for faster workflows and better collaboration.

[IDE/Editor] AI IDE that learns and improves itself as you code Dropstone: World's first generational recursive self-improvement AI for autonomous programming. Desktop application with MCP Server, Computer Use API, unlimited Ollama models, Claude Code integration, and Agent Mode.

[IDE/Editor] An innovative privacy focused approach to code documentation Ghost Note is a VS Code extension that lets you attach comments directly to the symbols in your codebase — without modifying the source code. Attach comments, images, videos, and tags to symbols in your codebase, without ever touching the code.

[Other] MetaDefender MFT MetaDefender Managed File Transfer™ is a security-first MFT solution that automates and protects file transfers across the enterprise including IT and OT networks. It provides industry-standard end-to-end encryption for data in transit and at rest.

[Other] Small Tools. Big Impact TinyTools is a free collection of micro online tools to boost productivity. From text and image utilities to random generators, use everything instantly—no installs, no sign-ups, just click and get things done fast.

[Other] The Vibe Security Platform for Vibe Coding Era 92% of AI-generated code has security holes. ByteArmor finds them in 60 seconds with AI-powered vulnerability detection that traditional tools lack. Connect GitHub → instant results + auto apply fixes. Start free. Stop shipping vulnerabilities.

[CLI Tool] Show HN: RenderarXiv – Search ArXiv from terminal, HTML to read/paste into LLM Terminal tool to search arXiv papers and render them as beautiful HTML for humans and LLMs

[Other] Zig builds are getting faster

[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