🛠️ All DevTools

[Other] Show HN: Kite – A modern, lightweight Kubernetes dashboard An early version was shown before, and now it works even better.<p>Enjoy！

[CLI Tool] Run interactive commands in Gemini CLI

[CLI Tool] Launch HN: Inkeep (YC W23) – Open Source Agent Builder Hi HN! I&#x27;m Nick from Inkeep. We built an agent builder with true 2-way sync between code and a drag-and-drop visual editor, so devs and non-devs can collaborate on the same agents. Here’s a demo video: <a href="https:&#x2F;&#x2F;go.inkeep.com&#x2F;video">https:&#x2F;&#x2F;go.inkeep.com&#x2F;video</a>.<p>As a developer, the flow is: 1) Build AI Chat Assistants or AI Workflows with the TypeScript SDK 2) Run `inkeep push` from your CLI to publish 3)Edit agents in the visual builder (or hand off to non-technical teams) 4) Run `inkeep pull to edit in code again.<p>We built this because we wanted the accessibility of no-code workflow builders (n8n, Zapier), but the flexibility and devex of code-based agent frameworks (LangGraph, Mastra). We also wanted first-class support for chat assistants with interactive UIs, not just workflows. OpenAI got close, but you can only do a one-time export from visual builder to code and there’s vendor lock-in.<p>How I&#x27;ve used it: I bootstrapped a few agents for our marketing and sales teams, then was able to hand off so they can maintain and create their own agents. This has enabled us to adopt agents across technical and non-technical roles in our company on a single platform.<p>To try it, here’s the quickstart: <a href="https:&#x2F;&#x2F;go.inkeep.com&#x2F;quickstart">https:&#x2F;&#x2F;go.inkeep.com&#x2F;quickstart</a>.<p>We leaned on open protocols to make it easy to use agents anywhere: An MCP endpoint, so agents can be used from Cursor&#x2F;Claude&#x2F;ChatGPT A Chat UI library with interactive elements you can customize in React An API endpoint compatible with the Vercel AI SDK `useChat` hook Support for Agent2Agent (A2A) so they work with other agent ecosystems<p>We made some practical templates like a customer_support, deep_research, and docs_assistant. Deployment is easy with Vercel&#x2F;Docker with a fair-code license and there&#x27;s a traces UI and OTEL logs for observability.<p>Under the hood, we went all-in on a multi-agent architecture. Agents are made up of LLMs, MCPs, and agent-to-agent relationships. We’ve found this approach to be easier to maintain and more flexible than traditional “if&#x2F;else” approaches for complex workflows.<p>The interoperability works because the SDK and visual builder share a common underlying representation, and the Inkeep CLI bridges it with a mix of LLMs and TypeScript syntactic sugar. Details in our docs: <a href="https:&#x2F;&#x2F;docs.inkeep.com">https:&#x2F;&#x2F;docs.inkeep.com</a>.<p>We’re open to ideas and contributions! And would love to hear about your experience building agents - what works, hasn’t worked, what’s promising?

[Other] Hyperflask – Full stack Flask and Htmx framework

[Testing] Testcontainers is a Java library that supports JUnit tests, providing lightweight, throwaway instances of common databases, Selenium web browsers, or anything else that can run in a Docker container.

[Other] Show HN: Modshim – a new alternative to monkey-patching in Python I&#x27;ve invented a new alternative to forking &#x2F; vendoring &#x2F; monkey-patching packages in Python.<p>It&#x27;s a bit like OverlayFS for Python modules - it allows you write modifications for a target module (lower) in a new module (upper), and have these combined in a new virtual module (mount).<p>It works by rewriting imports using AST transformations, then running both the lower and upper module&#x27;s code in the new Python module.<p>This prevents polluting the global namespace when monkey-patching, and means if you want to make changes to a third-party package, you don&#x27;t have to take on the maintenance burden of forking, you can package and distribute just your changes.

[Other] 📚 Notes for all core subjects 💻 Coding practice questions Tech Books is your one-stop mobile library for coders, developers,and tech enthusiasts. Explore a wide collection of programming books, interview guides, and learning resources all in one app. Learn anytime, anywhere,and boost your coding skills effortlessly.

[IDE/Editor] Your private server. in a browser tab. Instantly run any server-side environment as a full Linux sandbox, entirely inside your browser. Prototype, test, and learn with zero setup and zero risk.

[Other] > Every commit is your chance to win. Turn your command line into a casino. Git Slot Machine adds a little levity to your workday with a handshake with the one-armed bandit at the end of every `git commit`.

[Other] Build Web Apps with AI Agents VibeFactory combines simplicity of no code app builder using Agentic AI with software development best practices. Our platform will help you create, test, deploy and share your applications.

[Monitoring/Observability] Evaluate AI workflows and reach 99% AI quality. Basalt, #1 AI observability tool for teams, is launching its brand new Agent Builder : prototype, test, and deploy complex AI flows composed of multiple prompts, and run them through a dataset of scenarios.

[Other] Academic website template Astro Academia is a personal academic website template, designed to showcase academic achievements, research papers, blog posts, and a CV. It is fast, responsive, and easy to maintain. An ideal platform for academics and researchers to present their work.

[API/SDK] AI-Powered Document Processing for Developers & No-Coders PDF Vector provides battle-tested APIs to parse PDFs/Word docs, ask questions, extract structured data, and access millions of academic papers. Start free with 100 credits, integrate in minutes. Perfect for AI apps, research tools, and automation workflows.

[Other] Toolkit for devs. Create mockups, slides, and graphics for your projects or launches in just a few clicks.

[Other] A tool that automatically cleans/standardizes your CSV data AI Data Cleaner automatically cleans, organizes, and formats spreadsheets, CSVs, and databases in seconds. Remove duplicates, fix errors, and standardize formatting—fully automated.

[Build/Deploy] Show HN: Pxxl App – A Nigerian Alternative to Vercel, Render, and Netlify Hi HN,<p>I built Pxxl App — a free web hosting and deployment platform for developers in Nigeria and beyond. It’s a Nigerian alternative to Vercel, Render, and Netlify, designed for those who want a simple, fast, and barrier-free way to host both frontend and backend apps.<p>With Pxxl App, you can connect your Git repo and deploy in seconds — no credit card, no limits. You’ll get a live subdomain like yourapp.pxxl.pro, automatic builds, and continuous deployment.<p>It supports: • Frontend frameworks: React, Next.js, Vue, Svelte, and more • Backend projects: Node.js, PHP, and Python • Features like environment variables, CI&#x2F;CD, and instant rollback<p>The goal is to make cloud deployment accessible to African and global developers without the typical payment or region restrictions.<p>It’s completely free to start, and I’d love to hear feedback from the HN community on how to improve it or what features you’d want next.<p>Check it out: <a href="https:&#x2F;&#x2F;pxxl.app" rel="nofollow">https:&#x2F;&#x2F;pxxl.app</a>

[Other] Show HN: Cmux – Coding Agent Multiplexer HN,<p>I&#x27;m stoked to share this product I&#x27;ve been working on non-stop for the past few weeks. It&#x27;s an immersive GUI experience for working with many coding agents in parallel. The UX should be familiar to Claude Code users, but we took advantage of the GUI nature to add in a bunch more.<p>cmux is early but certainly usable—almost all of our internal cmux development rolls through cmux itself. Please let me know your thoughts and feedback!

[DevOps] Show HN: Specific (YC F25) – Build backends with specifications instead of code Hi folks! Iman and I (Fabian) have been building Specific for a while now and are finally opening up our public beta.<p>Specific is a platform for building backend APIs and services entirely through natural-language specifications and tests, without writing code. We then automatically turn your specs into a working system and deploy it for you, along with any infrastructure needed.<p>We know a lot of developers who have already adopted spec-driven development to focus on high-level design and let coding agents take care of implementation. We are attempting to take this even further by making the specs themselves the source of truth. Of course, we can’t blindly trust coding agents to follow the spec, so we also support adding tests that will run to ensure the system behaves as expected and to avoid regressions.<p>There is so much ground to cover, so we are focusing on a smaller set of initial features that in our experience should cover a large portion of backends:<p>- An HTTP server for each project. Authentication can be added by simply stating in the spec how you want to protect your endpoint.<p>- A database automatically spun up and schema configured if the spec indicates persistence is needed.<p>- External APIs can be called. You can even link out to API docs in your specs.<p>You currently can’t see the generated code, but we are working on enabling it. Of course, we don’t claim any ownership of the generated code and will gladly let you export it and continue building elsewhere.<p>Specific is free to try and we are really eager to hear your feedback on it!<p>Try it here: <a href="https:&#x2F;&#x2F;app.specific.dev">https:&#x2F;&#x2F;app.specific.dev</a>

[Other] Show HN: Osaurus – Ollama-Compatible Runtime for Apple Foundation Models Osaurus is an open-source local inference runtime for macOS, written in Swift and optimized for Apple Silicon.<p>It lets you run Apple Foundation Models locally — fully accelerated by the Neural Engine — while also exposing OpenAI- and Ollama-compatible endpoints, so you can connect your favorite apps, tools, or clients without any code changes.<p>Key points:<p>* Supports Apple Foundation Models natively<p>* Compatible with OpenAI &amp; Ollama APIs<p>* ~7 MB binary, runs locally (no cloud, no telemetry)<p>* MIT Licensed, open source<p>Project: <a href="https:&#x2F;&#x2F;osaurus.ai" rel="nofollow">https:&#x2F;&#x2F;osaurus.ai</a><p>Source: <a href="https:&#x2F;&#x2F;github.com&#x2F;dinoki-ai&#x2F;osaurus" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;dinoki-ai&#x2F;osaurus</a><p>We’re exploring what a local-first AI ecosystem could look like — where inference, privacy, and creativity all happen on your own hardware. Feedback and testing welcome!

[API/SDK] Go library for the WhatsApp web multidevice API