🛠️ All DevTools

[Other] Open-source MCP playground to test and introspect servers MCP Playground is a web-based developer tool designed to inspect and test Model Context Protocol (MCP) servers. It provides an interactive environment for exploring tools, resources, and prompts exposed by MCP servers, making it easy to debug and develop MCP integrations.

[Other] Idea to fullstack mobile app in seconds Go from idea to fullstack mobile apps in seconds with BNA. Describe your vision and BNA generates a complete iOS and Android app powered by Expo, React Native, and Convex — with a fully configured backend, authentication, database, and realtime features ready for production. BNA gives you full control: bring your own API keys, choose which AI models to use, and manage your resources with full transparency. Prototype in minutes and launch production-ready iOS and Android apps faster than ever.

[Other] Worktrees. Terminals. Agents. Manage repos & worktrees in parallel with libghostty-powered terminals and ACP-compatible agents (Claude, Codex, Gemini)

[API/SDK] The world's best Web Data API Firecrawl v2.5 is the world's best Web Data API, powered by a new Semantic Index & custom browser stack. We deliver the highest-quality, agent-ready data, converting complex pages (PDFs, tables) into clean formats via our /scrape, /search, and /crawl endpoints.

[Other] Show HN: MyTimers.app offline-first PWA with no build step and zero dependencies Hello,<p>For quite some time, I&#x27;ve been unsatisfied with the built-in timers on both Android and iOS; especially for workouts, when I needed to set up a configurable number of series with rest periods in between. That&#x27;s when I started thinking about building something myself. It was just a timer and I said to myself &quot;how hard could it be?&quot;, I had no idea.<p>The first iteration of the project worked &quot;just fine&quot;, but the UI was an eyesore (even more than it is now), and the UX was quite awful as well. As you can probably guess, I&#x27;m not versed in design or front-end development. In fact, my last real experience with front-end work was back when jQuery was still a thing.<p>However, I knew what I wanted to build, and over the last few days (and with the help of the infamous AI) I was able to wrap up the project for my needs. It required quite a lot of &quot;hand holding&quot; and &quot;back and forth&quot;, but it helped me smooth out the rough edges and provided great suggestions about the latest ES6 features.<p>The project is, as the title states, an offline-first PWA with zero dependencies; no build step, no cookies, no links, no analytics, nothing other than timers. It uses `Web Components` (a really nice feature, in my opinion, though I still don&#x27;t get why we can&#x27;t easily inherit styles from the global scope) and `localStorage` to save timers between uses.<p>I&#x27;d appreciate any comments or suggestions, since I just want to keep learning new things.<p><a href="https:&#x2F;&#x2F;mytimers.app&#x2F;" rel="nofollow">https:&#x2F;&#x2F;mytimers.app&#x2F;</a>

[Other] Show HN: AgentML – SCXML for Deterministic AI Agents (MIT) Hey HN,<p>We’ve been experimenting with how to make AI agents more deterministic, observable, and production-safe, and that led us to build AgentML — an open-source language for defining agent behavior as state machines, not prompt chains.<p>My co-founder posted before but linked to the project website instead of the repo, so resharing here.<p>AgentML lets you describe your agent’s reasoning and actions as a finite-state model (think SCXML for agents). Each state, transition, and tool call is explicit and machine-verifiable.<p>That means you can:<p>- Reproduce any decision path deterministically<p>- Trace reasoning and tool calls for debugging or compliance<p>- Guarantee agents only take valid actions (e.g. “never send a payment before verification”)<p>- Run locally, in the cloud, or within MCP-based frameworks<p>Example:<p>```<p>&lt;?xml version=&quot;1.0&quot; encoding=&quot;UTF-8&quot;?&gt;<p>&lt;agentml xmlns=&quot;github.com&#x2F;agentflare-ai&#x2F;agentml&quot; xmlns:openai=&quot;github.com&#x2F;agentflare-ai&#x2F;agentml-go&#x2F;openai&quot; version=&quot;1.0&quot; datamodel=&quot;ecmascript&quot; name=&quot;researcher&quot;&gt;<p>&lt;datamodel&gt;<p><pre><code> &lt;data id=&quot;papers&quot; expr=&quot;[]&quot; schema=&#x27;{&quot;type&quot;:&quot;array&quot;,&quot;description&quot;:&quot;Fetched papers from Hugging Face&quot;}&#x27; &#x2F;&gt; &lt;data id=&quot;summary&quot; expr=&quot;&#x27;&#x27;&quot; schema=&#x27;{&quot;type&quot;:&quot;string&quot;,&quot;description&quot;:&quot;Summary of the papers&quot;}&#x27; &#x2F;&gt; </code></pre> &lt;&#x2F;datamodel&gt;<p>&lt;state id=&quot;start&quot;&gt;<p><pre><code> &lt;onentry&gt; &lt;log label=&quot;Researcher: &quot; expr=&quot;`Fetching papers from Hugging Face and summarizing with OpenAI\n`&quot; &#x2F;&gt; &lt;openai:generate model=&quot;gpt-4o&quot; location=&quot;summary&quot; stream=&quot;false&quot;&gt; &lt;openai:prompt&gt;Summarize these recent AI&#x2F;ML papers from Hugging Face: {{fetch &quot;https:&#x2F;&#x2F;huggingface.co&#x2F;api&#x2F;daily_papers&quot;}} Provide a concise summary of the key trends, breakthroughs, and developments in AI&#x2F;ML research. &lt;&#x2F;openai:prompt&gt; &lt;&#x2F;openai:generate&gt; &lt;&#x2F;onentry&gt; &lt;transition target=&quot;log_summary&quot; &#x2F;&gt; </code></pre> &lt;&#x2F;state&gt;<p>&lt;state id=&quot;log_summary&quot;&gt;<p><pre><code> &lt;onentry&gt; &lt;log label=&quot;Researcher Summary: &quot; expr=&quot;summary&quot; &#x2F;&gt; &lt;&#x2F;onentry&gt; &lt;transition target=&quot;done&quot; &#x2F;&gt; </code></pre> &lt;&#x2F;state&gt;<p>&lt;final id=&quot;done&quot; &#x2F;&gt;<p>&lt;&#x2F;agentml&gt;<p>```<p>We’re using this in Agentflare to add observability, cost tracking, and compliance tracing for multi-agent systems — but AgentML itself is fully open-source (MIT licensed).<p>Repo: <a href="https:&#x2F;&#x2F;github.com&#x2F;agentflare-ai&#x2F;agentml" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;agentflare-ai&#x2F;agentml</a> Docs: <a href="https:&#x2F;&#x2F;docs.agentml.dev" rel="nofollow">https:&#x2F;&#x2F;docs.agentml.dev</a><p>We also launched SQLite-Graph, a Cypher-compatible graph extension for SQLite, which will serve as the base for AgentML’s native memory layer. It’s also MIT licensed: <a href="https:&#x2F;&#x2F;github.com&#x2F;agentflare-ai&#x2F;sqlite-graph" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;agentflare-ai&#x2F;sqlite-graph</a><p>Would love feedback from anyone building with LLM orchestration frameworks, rule-based systems, or embedded MCP tool servers… especially around how to extend deterministic patterns to multi-agent coordination.<p>— Jeff @ Agentflare

[Other] Show HN: React-like Declarative DSL for building synthetic LLM datasets

[Monitoring/Observability] Agent-o-rama: build, trace, evaluate, and monitor LLM agents in Java or Clojure

[Other] Mergiraf: Syntax-Aware Merging for Git

[Other] Show HN: a Rust ray tracer that runs on any GPU – even in the browser I’ve been experimenting with Rust lately and wanted a project that would help me explore some of its lower-level and performance-oriented features. Inspired by Sebastian Lague’s videos, I decided to implement my own ray tracer from scratch.<p>The initial goal was just to render a simple 3D scene in the browser at a reasonable frame rate. It evolved into a small renderer that can: • Run locally or on the web using wgpu and WebAssembly • Perform mesh rendering with a Bounding Volume Hierarchy (BVH) for acceleration • Simulate both direct and indirect illumination for photorealistic results • Be deployed easily as a free web demo using GitHub Pages<p>The project is far from perfect, but it’s been a fun way to dig deeper into graphics programming and learn more about Rust’s ecosystem. I’m also planning to experiment with Rust for some ML projects next.<p>GitHub: <a href="https:&#x2F;&#x2F;github.com&#x2F;tchauffi&#x2F;rust-rasterizer" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;tchauffi&#x2F;rust-rasterizer</a> Web demo (desktop browsers): <a href="https:&#x2F;&#x2F;tchauffi.github.io&#x2F;rust-rasterizer&#x2F;" rel="nofollow">https:&#x2F;&#x2F;tchauffi.github.io&#x2F;rust-rasterizer&#x2F;</a><p>Would love feedback from anyone who’s built similar projects or has experience with wgpu or ray tracing in Rust.

[Other] Premium Astro + React templates and components with top UX Modern landing page templates built with Astro 5 + React 19 + TypeScript. Includes premium media components that are also avaliable individually with specialized lightboxes and external URL support, i18n system (EN and PT-BR by default, easy to add more), intelligent page navigation. Achieves 96-100 Lighthouse scores out of the box. Tested on desktop, phones and tablets. One-time purchase for unlimited commercial use - no subscriptions, just download, run npm install and then npm run dev, ding!

[Other] OpenTUI is a library for building terminal user interfaces (TUIs)

[Other] 🤖 The free, Open Source alternative to OpenAI, Claude and others. Self-hosted and local-first. Drop-in replacement for OpenAI, running on consumer-grade hardware. No GPU required. Runs gguf, transformers, diffusers and many more. Features: Generate Text, Audio, Video, Images, Voice Cloning, Distributed, P2P and decentralized inference

[CLI Tool] Show HN: Serie – A rich Git commit graph in your terminal Serie is a TUI application that uses the terminal emulators&#x27; image display protocol to render commit graphs like git log --graph --all.<p>This is not a full-featured git client, nor are there any plans to add such functionality, so it is not a replacement for tig, lazygit, gitui, etc.<p>The only purpose of this tool is to provide a pretty git log --graph and make commit information easily accessible.<p>While some users prefer to use Git via CLI, they often rely on a GUI or feature-rich TUI to view commit logs. Others may find git log --graph sufficient.<p>Personally, I found the output from git log --graph difficult to read, even with additional options. Learning complex tools just to view logs seemed cumbersome.<p>Limitations:<p>- Sixel is not supported. Only terminals that support the iTerm and kitty image protocols are supported.<p>- Terminal multiplexers are not supported.<p>- Windows is not supported.<p><a href="https:&#x2F;&#x2F;github.com&#x2F;lusingander&#x2F;serie" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;lusingander&#x2F;serie</a>

[Other] Celtic Code: Drawing Knots with Python

[Other] Production-ready next.js boilerplates Handcrafted Next.js boilerplates with authentication, payments, databases, and more. Build your perfect stack and ship in minutes with Valiplate.

[API/SDK] Git friendly, offline-only API testing tool HawkClient - A git-friendly offline-only API client designed for efficient API testing and development. Stores collection and requests in YAML files ideal for git collaboration. Support API flows through drag and drop ui, support http, graphQL, grpc.

[Other] Build custom internal apps in minutes, no coding required Tired of waiting on engineering bandwidth or duct-taping tools that don’t fit? Build secure internal apps and AI workflows that actually match how your team works yourself - no code needed. One prompt gets you a fully working enterprise-grade app that you can use and share immediately: frontend, backend, database, and security/privacy built-in (auth, permissions, audit logs). Connect to your own database or any third-party tools like HubSpot, Airtable, Sheets, Stripe, and more.

[Other] Prioritise product features with data-driven RICE scores Calculate RICE scores to prioritise product features. Use reach, impact, confidence, and effort for clear, data-driven product management decisions

[API/SDK] Generate expert-grade text — no prompt engineering. Zywrap lets anyone create expert-level content without prompt engineering. Choose from 80k+ wrappers across 12k+ real use cases, generate in 100+ languages, and integrate instantly with PHP, Python, or Node SDKs. Faster setup, consistent results, developer-ready.