🛠️ All DevTools

[API/SDK] FastAPI framework, high performance, easy to learn, fast to code, ready for production

[DevOps] Automate your SDLC with Agentic workflows Overcut brings autonomous AI agents into your engineering workflows - coordinating across Jira, GitHub, GitLab, Bitbucket, and Azure DevOps. From PR reviews to ticket triage to spec generation.

[CLI Tool] Launch AI CLI tools instantly from Finder SwiftyMenu adds a nifty context menu/button to macOS Finder. Select any folder to instantly launch Claude Code, Copilot CLI, Cursor Agent, or any terminal-based AI tool. Free Finder extension that supercharges your AI coding workflow in seconds!

[Other] Project & task management tool - weekmate TaskHub is your all-in-one project management tool for teams valuing clarity & efficiency. Plan milestones, track time, manage sprints, organize resources & collaborate in real time. From bug tracking to expense reports, all runs on one secure cloud platform.

[Other] Build Futuristic UIs at Warp Speed with AI Tools⚡️ Accelerate your project development with ready-to-use and fully customizable Free & Premium shadcn ui 1000+ Components, 550+ Blocks, UI Kits, Boilerplates, 20+ Templates, and Themes with AI Tools 🪄.

[IDE/Editor] Secure AI Dev tools that makes developers 5x faster Neurcode AI is Dev tools with a security-first AI IDE built for enterprises and developers. Get real-time code completion, debugging, bug detection, test generation, and project analysis—all with enterprise-grade security and seamless team collaboration.

[Other] Open standard for scalable formal software verification Petra is the world's first open standard for scalable (object-oriented) formal software verification and professional developer tools for the standard.

[CLI Tool] Local CLI layer that turns chat into shippable tasks prjct/cli is the execution layer for Claude Code, Codex & Warp. Turn ideas into AI-ready roadmaps, feed perfect context to your agents, and ship features straight from your terminal. No PM overhead—just you, your AI, and pure shipping.

[Other] Vibe Coding Easy Backup Built for Vibe Coding devs. Never lose code! Backup instantly with shortcuts or auto-sync on Git commit. Securely roll back to any version with confidence.

[Other] Create unique QR codes to easily schedule calendar events Create QR codes that instantly add events to calendars. Turn your event details into a QR code. When scanned, it opens in Google, Apple, or Outlook Calendar.

[Other] Prevent the next chargeback. Prevent is a post-transaction fraud prevention platform built for eCommerce. It stops friendly fraud, return abuse & bots with actor-based analysis, a collaborative fraud network, and a transparent Digital Score. Plug & play for SMBs.

[API/SDK] Show HN: Simple WhatsApp API (Open Source) Had a Lot of issues with existing APIs especially with Attachment support. Hence built own Whatsapp API.<p>Currently only Send Messages

[Other] Show HN: Cap'n-rs – Rust implementation of Cloudflare's Cap'n Web protocol Last week Cloudflare released Cap&#x27;n Web [1], a schema-free capability-based RPC protocol. I built capn-rs this week - a Rust implementation with full wire protocol compatibility. Links:<p>GitHub: <a href="https:&#x2F;&#x2F;github.com&#x2F;currentspace&#x2F;capn-rs" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;currentspace&#x2F;capn-rs</a> Crates: <a href="https:&#x2F;&#x2F;crates.io&#x2F;crates&#x2F;capnweb-server" rel="nofollow">https:&#x2F;&#x2F;crates.io&#x2F;crates&#x2F;capnweb-server</a> API docs: <a href="https:&#x2F;&#x2F;docs.rs&#x2F;capnweb-server" rel="nofollow">https:&#x2F;&#x2F;docs.rs&#x2F;capnweb-server</a><p>What&#x27;s working:<p>Wire compatibility verified via integration tests against TypeScript reference Multi-transport: HTTP batch, WebSocket, WebTransport (HTTP&#x2F;3) Complete IL (intermediate language) expression evaluator Promise pipelining with dependency resolution Comprehensive test coverage<p>The interesting design challenge was mapping Cap&#x27;n Web&#x27;s record-replay .map() semantics to Rust&#x27;s type system while maintaining ergonomic APIs. Cap&#x27;n Web records operations on placeholder values to build execution plans - in Rust this became a clean builder pattern with type-level guarantees. Built this as an experiment with Claude Code for porting complex protocols. The AI handled mechanical translation well, but architectural decisions (especially around async&#x2F;await patterns and lifetime management) required human judgment. This is early days - I&#x27;d especially appreciate feedback on API ergonomics and any edge cases I might have missed. Also happy to discuss the protocol design or the AI-assisted development experience.<p>[1] <a href="https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=45332883">https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=45332883</a>

[Other] Show HN: I built an IDE for devs who live in the terminal

[Code Quality] Legacy-Mess Detector – assess the “legacy-mess level” of your code and output a beautiful report | 屎山代码检测器，评估代码的“屎山等级”并输出美观的报告

[Other] Show HN: Resrap – A Parser but in Reverse I built Resrap, a Go package that takes a grammar in ABNF format and generates infinitely long sequences of syntactically correct code...either completely randomly or with seeds for a deterministic generation.<p>ABNF is a modified version of EBNF(<a href="https:&#x2F;&#x2F;en.wikipedia.org&#x2F;wiki&#x2F;Extended_Backus%E2%80%93Naur_form" rel="nofollow">https:&#x2F;&#x2F;en.wikipedia.org&#x2F;wiki&#x2F;Extended_Backus%E2%80%93Naur_f...</a>) I made for this project, basically means you can specify when generating code 20% of lines will be if{} blocks and 50% will be while{} blocks which allows for more natural code generation, plus support for infinite generation of code.<p>It’s very fast...it generated ~40 million tokens of C syntax in about 26 seconds on my laptop and supports multithreading which actually saw boosts in performance since its very easy to parallelize.<p>I originally made this for a typing-test project (I didn’t want to store code snippets manually), but it turned out to be useful in other contexts too, like: - Stress-testing parsers and linters - Creating non-copyrighted “lorem ipsum” code for tech demos - Generating those endless “hacker” code scenes you see in movies<p>Curious what other cool things people might do with it!<p>Github: <a href="https:&#x2F;&#x2F;github.com&#x2F;osdc&#x2F;Resrap" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;osdc&#x2F;Resrap</a> Website: <a href="https:&#x2F;&#x2F;resrap.osdc.dev&#x2F;" rel="nofollow">https:&#x2F;&#x2F;resrap.osdc.dev&#x2F;</a>

[Other] Show HN: Neural Emotion Matrix for NPCs Hey! I built this system to humanize NPCs by giving them emotions using Rust and ML.<p>The system provides emotion coordinates (based on Russell&#x27;s circumplex model) from text input or actions, with persistent emotional memory per entity. Think NPCs that remember how they feel about specific players or events.<p>I pre-trained a DistilBERT model on ~1k video game dialogues (Skyrim, Cyberpunk, etc.) and plan to extract and evaluate 100k+ dialogues soon. However studio&#x2F;team can manually add dialogues to enrich their own dataset.<p>The matrix doesn&#x27;t generate dialogue, it only analyzes content. When you pass text or an action, it returns emotion coordinates on the valence (pleasant&#x2F;unpleasant) and arousal(energetic&#x2F;calm) scale. For example:<p>- [0.00, 0.00] = neutral<p>- [0.29, 0.80] = excited<p>- [-0.50, -0.30] = sad&#x2F;tired<p>I made a quick visualizer here to help understand <a href="https:&#x2F;&#x2F;valence-arousal-visualizer.vercel.app&#x2F;" rel="nofollow">https:&#x2F;&#x2F;valence-arousal-visualizer.vercel.app&#x2F;</a><p>The system helps select which dialogue&#x2F;action to play based on emotional state:<p>- Player says something bad to NPC → system detects negative valence → game picks from &quot;angry dialogue pool&quot;<p>- NPC remembers past positive interactions → system returns positive valence → friendlier responses available<p>So, the devs still write the dialogues or choose the next actions, but the matrix helps manage NPC emotional states and memory dynamically.<p>Here&#x27;s the project structure to better understand how it works:<p>- src&#x2F;config: Helper utilities for NPC configuration setup<p>- src&#x2F;module: The core engine with emotion prediction, memory storage, and entity management<p>- src&#x2F;api: FFI layer with pub extern &quot;C&quot; to bridge our modules with C&#x2F;C++ game engines and modding tools (Unity, Unreal, etc.)<p>To implement it, just call `build.sh`, it will create DLL files that you can use to call the matrix functions directly in C++&#x2F;C&#x2F;C#.<p>I&#x27;d love feedback on code quality and overall architecture.<p>Feel free to be honest about the good, the bad, and the ugly. PRs welcome if you want to contribute!

[Other] Dbos: Durable Workflow Orchestration with Go and PostgreSQL

[Package Manager] PyOCI – Publish and install private Python packages using OCI/Docker registries

[Other] Optimizing a 6502 image decoder, from 70 minutes to 1 minute