🛠️ All DevTools

[Database] Pgstream: Postgres streaming logical replication with DDL changes

[Other] G-code generator for 3D printers (Bambu, Prusa, Voron, VzBot, RatRig, Creality, etc.)

[Other] Show HN: I reverse engineered macOS to allow custom Lock Screen wallpapers Hi HN, I&#x27;m Oskar, a solo indie Mac developer from Sweden. For those in the Mac community, you might know me from my other apps like Sensei and Trim Enabler.<p>For years, I&#x27;ve been frustrated by the lack of customisation of macOS. In particular the Lock Screen which supports animated wallpapers, but only ones provided by Apple. There&#x27;s never been a way to add your own personal videos.<p>I decided to figure out how to solve this, and the result is Backdrop 2.0. Backdrop is my Live Wallpaper app for Mac, it can play video wallpapers on your desktop. And now it can play on your Lock Screen too.<p>The core technical challenge, as you can imagine, came from trying to do something that Apple otherwise does not allow. However, through extensive reverse engineering of the macOS wallpaper system, I figured out a way to provide Backdrop wallpapers to the system in a way that allows them to play on the lock screen, and even appear in a custom section in System Settings.<p>I&#x27;m here all day to answer any questions—especially about the reverse engineering process, the challenges of integrating with macOS, or the experience of being an indie Mac developer.<p>Would love to hear your thoughts and feedback.

[Other] Design & Animation to Code. It is considerable alternative any UI/UX design tool with ability to convert function code for your existing react.js or next.js project.

[IDE/Editor] The world’s most popular IDE just got smarter, faster This release brings AI woven directly into the developer workflow, performance improvements that reset expectations for speed at enterprise scale, and a modern design that makes the environment feel lighter and more focused.

[Testing] AI-powered unit testing that eliminates technical debt AI-powered unit testing that eliminates technical debt automatically. Sentra generates comprehensive test coverage for any language and integrates with IDE and CI/CD pipelines. Join our beta program and help shape the future of unit testing.

[Other] CoinPerks is a cryptocurrency information data platform CoinPerks is a cryptocurrency data platform that helps users compare liquidity, trading volumes, trading pairs & fees across top-tier exchanges. It enables traders to quantitatively evaluate exchanges and make informed decisions based on data-driven insights.

[Other] Effortless macos window & app layout manager Snaps Of Apps saves your entire Mac workspace - window positions, sizes, apps across multiple displays - as snapshots. Switch between work modes instantly with hotkeys. Perfect for developers, designers, and power users juggling projects.

[Other] A universal Price Tracking chrome extension that just works! A universal chrome extension made to track prices across all of the websites with real-time monitoring, historical charts, customizable alerts, and more.

[Other] For Good First Issue – A repository of social impact and open source projects

[Other] Show HN: Dagger.js – A buildless, runtime-only JavaScript micro-framework TL;DR: dagger.js is a buildless, runtime-only micro-framework that plays nicely with native Web Components. It uses HTML-first directives (e.g. +click, +load) so you can ship a page by dropping a single &lt;script&gt; from a CDN—no bundlers, no compile step.<p>Why I built it Modern stacks are powerful but often heavy: bundlers, compile steps, framework DSLs, local CLIs. For internal tools, small apps, and edge&#x2F;serverless deployments, I wanted something you can view-source, paste into a page, and ship.<p>What it is:<p>Runtime-only: no build or VDOM compile; hydrate behaviors directly on HTML. HTML directives: e.g. +click, lifecycle +load &#x2F; +loaded &#x2F; +unload &#x2F; +unloaded. Zero APIs: dagger.js works in pure declarative mode, modules and directives provide everything you need to build your application. Web-Components-first: works alongside Custom Elements; keep concerns local. Distributed modules: load small, focused script modules via CDN. Progressive enhancement: the page renders without a build step.<p>Use cases:<p>Admin panels &amp; dashboards that don’t warrant a full toolchain Embed widgets, docs-sites with interactive bits Edge&#x2F;serverless apps where cold start and simplicity matter<p>Links<p>GitHub: <a href="https:&#x2F;&#x2F;github.com&#x2F;dagger8224&#x2F;dagger.js" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;dagger8224&#x2F;dagger.js</a> Docs&#x2F;Guide: <a href="https:&#x2F;&#x2F;daggerjs.org" rel="nofollow">https:&#x2F;&#x2F;daggerjs.org</a> Examples: <a href="https:&#x2F;&#x2F;codepen.io&#x2F;dagger8224&#x2F;pens" rel="nofollow">https:&#x2F;&#x2F;codepen.io&#x2F;dagger8224&#x2F;pens</a><p>I’d love feedback on edge-cases, and where it breaks. Happy to answer tough questions here.

[Other] Show HN: AI-powered web service combining FastAPI, Pydantic-AI, and MCP servers Hey all! I recently gave a workshop talk at PyCon Greece 2025 about building production-ready agent systems.<p>To check the workshop, I put together a demo repo: (I will add the slides too soon in my blog: <a href="https:&#x2F;&#x2F;www.petrostechchronicles.com&#x2F;" rel="nofollow">https:&#x2F;&#x2F;www.petrostechchronicles.com&#x2F;</a>) <a href="https:&#x2F;&#x2F;github.com&#x2F;Aherontas&#x2F;Pycon_Greece_2025_Presentation_Agents" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;Aherontas&#x2F;Pycon_Greece_2025_Presentation_...</a><p>The idea was to show how multiple AI agents can collaborate using FastAPI + Pydantic-AI, with protocols like MCP (Model Context Protocol) and A2A (Agent-to-Agent) for safe communication and orchestration.<p>Features:<p>- Multiple agents running in containers<p>- MCP servers (Brave search, GitHub, filesystem, etc.) as tools<p>- A2A communication between services<p>- Minimal UI for experimentation for Tech Trend - repo analysis<p>I built this repo because most agent frameworks look great in isolated demos, but fall apart when you try to glue agents together into a real application. My goal was to help people experiment with these patterns and move closer to real-world use cases.<p>It’s not production-grade, but would love feedback, criticism, or war stories from anyone who’s tried building actual multi-agent systems. Big questions:<p>Do you think agent-to-agent protocols like MCP&#x2F;A2A will stick?<p>Or will the future be mostly single powerful LLMs with plugin stacks?<p>Thanks — excited to hear what the HN crowd thinks!

[Other] DeepResearchAgent is a hierarchical multi-agent system designed not only for deep research tasks but also for general-purpose task solving. The framework leverages a top-level planning agent to coordinate multiple specialized lower-level agents, enabling automated task decomposition and efficient execution across diverse and complex domains.

[Other] Show HN: Datadef.io – Canvas for data lineage and metadata management Hi HN, I’ve been working on <a href="https:&#x2F;&#x2F;datadef.io" rel="nofollow">https:&#x2F;&#x2F;datadef.io</a>, a tool to help data team (engineer, architect, project manager) make sense of their data universe.<p>The problem:<p>- Data models (dbt, SQL, warehouses) often grow into a tangled mess of tables, joins, and undocumented assumptions. - Lineage is either scattered across tools or missing entirely. - Documentation is usually an afterthought (and gets outdated fast).<p>Datadef.io aims to fix that by providing:<p>- Interactive canvas to map tables, relationships, and indicators. - Automatic lineage visualization to trace dependencies. - Metadata management: define table&#x2F;column-level details, ownership, and KPIs. - AI-generated documentation that stays in sync with your models. - Export&#x2F;share features so asset managers, analysts, and other teams don’t get lost in spreadsheets or PDFs.<p>It’s still early, and I’d love feedback from the HN community. In particular:<p>What’s missing for you in lineage&#x2F;metadata&#x2F;documentation tools?<p>How would you want to integrate a tool like this into your workflow (dbt, Databricks, Power BI, etc.)?<p>I’d really appreciate your thoughts, feature requests, and criticism.<p>Thanks!

[CLI Tool] docker mcp CLI plugin / MCP Gateway

[DevOps] AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

[API/SDK] A cryptocurrency trading API with more than 100 exchanges in JavaScript / TypeScript / Python / C# / PHP / Go

[Other] Developer-first, enterprise-grade LLM framework. GraphBit is a high-performance AI agent framework with a Rust 🦀 core and seamless Python bindings. It combines Rust’s speed and reliability with Python’s simplicity, empowering developers to build intelligent, enterprise-grade agents with ease.

[API/SDK] Chaos to Clarity. No Code. No Confusion. No Chaos. APITect turns chaos into clarity in API development. 🚀 Paste JSON to get instant contracts, validate in real-time, mock dynamic responses, collaborate with your team & export anywhere — no code, no confusion, no chaos.

[Other] Kill dev ports A lightweight cross-platform status bar app that monitors and manages development processes running on configurable ports. The app provides real-time process detection and allows you to kill individual processes or all processes at once.