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[Other] Show HN: AI Code Detector – detect AI-generated code with 95% accuracy Hey HN,<p>I’m Henry, cofounder and CTO at Span (<a href="https:&#x2F;&#x2F;span.app&#x2F;" rel="nofollow">https:&#x2F;&#x2F;span.app&#x2F;</a>). Today we’re launching AI Code Detector, an AI code detection tool you can try in your browser.<p>The explosion of AI generated code has created some weird problems for engineering orgs. Tools like Cursor and Copilot are used by virtually every org on the planet – but each codegen tool has its own idiosyncratic way of reporting usage. Some don’t report usage at all.<p>Our view is that token spend will start competing with payroll spend as AI becomes more deeply ingrained in how we build software, so understanding how to drive proficiency, improve ROI, and allocate resources relating to AI tools will become at least as important as parallel processes on the talent side.<p>Getting true visibility into AI-generated code is incredibly difficult. And yet it’s the number one thing customers ask us for.<p>So we built a new approach from the ground up.<p>Our AI Code Detector is powered by span-detect-1, a state-of-the-art model trained on millions of AI- and human-written code samples. It detects AI-generated code with 95% accuracy, and ties it to specific lines shipped into production. Within the Span platform, it’ll give teams a clear view into AI’s real impact on velocity, quality, and ROI.<p>It does have some limitations. Most notably, it only works for TypeScript and Python code. We are adding support for more languages: Java, Ruby, and C# are next. Its accuracy is around 95% today, and we’re working on improving that, too.<p>If you’d like to take it for a spin, you can run a code snippet here (<a href="https:&#x2F;&#x2F;code-detector.ai&#x2F;" rel="nofollow">https:&#x2F;&#x2F;code-detector.ai&#x2F;</a>) and get results in about five seconds. We also have a more narrative-driven microsite (<a href="https:&#x2F;&#x2F;www.span.app&#x2F;detector" rel="nofollow">https:&#x2F;&#x2F;www.span.app&#x2F;detector</a>) that my marketing team says I have to share.<p>Would love your thoughts, both on the tool itself and your own experiences. I’ll be hanging out in the comments to answer questions, too.

[IDE/Editor] Launch HN: Rowboat (YC S24) – Open-source IDE for multi-agent systems Hi HN! We are Arjun, Ramnique, and Akhilesh, the founders of Rowboat (<a href="https:&#x2F;&#x2F;www.rowboatlabs.com">https:&#x2F;&#x2F;www.rowboatlabs.com</a>), an AI-assisted IDE for building and managing multi-agent systems with a copilot. Using Rowboat, you can build both deterministic automation agents (e.g. automatically summarizing emails) and more agentic systems (e.g. a meeting prep assistant or a customer support bot).<p>Here are some examples:<p>- Meeting-prep assistant: <a href="https:&#x2F;&#x2F;www.youtube.com&#x2F;watch?v=KZTP4xZM2DY" rel="nofollow">https:&#x2F;&#x2F;www.youtube.com&#x2F;watch?v=KZTP4xZM2DY</a><p>- Customer support assistant: <a href="https:&#x2F;&#x2F;www.youtube.com&#x2F;watch?v=Xfo-OfgOl8w" rel="nofollow">https:&#x2F;&#x2F;www.youtube.com&#x2F;watch?v=Xfo-OfgOl8w</a><p>- Gmail and Reddit assistant: <a href="https:&#x2F;&#x2F;www.youtube.com&#x2F;watch?v=6r7P4Vlcn2g" rel="nofollow">https:&#x2F;&#x2F;www.youtube.com&#x2F;watch?v=6r7P4Vlcn2g</a><p>Rowboat is open-source (<a href="https:&#x2F;&#x2F;github.com&#x2F;rowboatlabs&#x2F;rowboat" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;rowboatlabs&#x2F;rowboat</a>) and has a growing community. We first launched it on Show HN a few months ago (<a href="https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=43763967">https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=43763967</a>).<p>Today we are launching a major update along with a cloud offering. We’ve added built-in tool integrations for 100s of tools like Gmail, Github and Slack, RAG with documents and URLs, and triggers to invoke your assistant based on external events.<p>Our cloud version includes all the features of the open-source IDE, but runs instantly with no setup or API keys. For launch, we&#x27;re offering $10 free usage with Gemini models so you can start building right away for free without adding any card details. Paid plans start at $20&#x2F;month and give you access to additional models (OpenAI, Anthropic, Gemini, with more coming) and higher usage limits.<p>There’s a growing view that some tasks are better handled by single agents (<a href="https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=45096962">https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=45096962</a>), while others benefit from multi-agent systems for higher accuracy ( <a href="https:&#x2F;&#x2F;www.anthropic.com&#x2F;engineering&#x2F;multi-agent-research-system" rel="nofollow">https:&#x2F;&#x2F;www.anthropic.com&#x2F;engineering&#x2F;multi-agent-research-s...</a>). The difference often comes down to scope: a focused task like coding suits a single agent, but juggling multiple domains such as email, Slack, and LinkedIn is better split across agents. Multi-agent systems also help avoid context pollution, since LLMs lose focus when asked to handle unrelated tasks. In addition, cleanly dividing responsibilities makes each agent easier to test, debug, and improve.<p>However, splitting work into multiple agents and getting their prompts right is challenging. OpenAI and others have published patterns that work well for different scenarios (<a href="https:&#x2F;&#x2F;cdn.openai.com&#x2F;business-guides-and-resources&#x2F;a-practical-guide-to-building-agents.pdf" rel="nofollow">https:&#x2F;&#x2F;cdn.openai.com&#x2F;business-guides-and-resources&#x2F;a-pract...</a>). We’ve added agent abstractions, built on top of OpenAI’s Agents SDK, to support these patterns. These include user-facing agents that can decide to hand off to another agent when needed; task agents that perform internal tasks; and pipelines that deterministically call a sequence of agents.<p>Rowboat’s copilot (‘Skipper’) is aware of these patterns and has been seeded with tested patterns, such as a manager‑worker setup for a customer support bot, a pipeline for automated document summarization, and multi‑agent workflows for combining web search with RAG. It can:<p>- Build multi-agent systems from a high-level request and decide how work must be delegated across agents<p>- Edit agent instructions to make correct tool calls using Composio tools or any connected MCP server<p>- Observe your playground chat and improve agents based on your tests<p>We see agentic systems as a spectrum. On one end are deterministic workflows with a few LLM calls. On the other end are fully agentic systems where the LLM makes all control flow decisions - we focus on this end of the spectrum, while still allowing deterministic control where necessary for real-world assistant use cases. We intentionally avoided flowchart-style editors (like n8n) because they become unwieldy when building and maintaining highly agentic systems.<p>We look forward to hearing your thoughts!

[Other] Show HN: I wrote a from-scratch OS to serve my blog Hey HN! This is a fun&#x2F;educational project I built to learn OS programming. I started working on it right after graduating high school last year and have been working on it on and off during my first year of university. It features a TCP&#x2F;IP stack, an HTTP server, a RAM file system, a BIOS bootloader, paging and memory management, and concurrent tasks based on cooperative scheduling, along with a custom library. It&#x27;s written in a C programming style focused on safety (based on a custom library of core abstractions) that&#x27;s inspired by the writing of Chris Wellons (nullprogram.com).<p>There is a link to a test deployment in the README. The TCP&#x2F;IP implementation is nowhere near perfect, of course, so there may be issues loading the page. I&#x27;m curious how the system holds up if this post gets any attention ;-)

[Other] Awesome multilingual OCR and Document Parsing toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)

[Other] Automating Distro Updates in CI

[Other] Secure, updated & optimized dependencies Connect GitHub repos or upload dependency files to detect security vulnerabilities, outdated packages, and unused/missing dependencies. Supports JavaScript, Python, Go, Rust, PHP, and more.

[Other] AI Agents for Smart Contract Security AI marketplace for smart contract security audits. Specialized agents analyze code using database of 25K+ real vulnerabilities.

[Other] Stop iOS refund abuse — an open-source developer tool Refund Swatter Lite is an open-source developer tool designed to stop iOS in-app purchase refund abuse. It automatically handles App Store Server Notifications and lets developers securely control their Apple API keys without sending them to any third-party.

[Other] Compare Figma design to website in real time Bridge the gap between design and code. Convert your Figma into a pixel-perfect semi-transparent overlay directly on your web page. No more switching tabs. No more guessing margins, fonts, or colors. And no more static image overlays that limit interaction.

[Other] Mindful productivity extension for focus Zentral combines distraction blocking, mindful breathwork, and habit-building to help you create rituals for consistent deep work and lasting focus. Build streaks, track progress, and make productivity sustainable.

[Testing] Playwright end-to-end tests in seconds Introducing Endform, the fastest Playwright test runner available. Run tests fully in parallel to get results in seconds. Stay on top of your failures and flaky tests. Endform lets you spend less time waiting for re-runs, and more time shipping code.

[Other] Turn ideas into structured PRDs instantly PRD-Studio helps you go from idea → detailed Product Requirement Document in minutes. Perfect for solo devs, vibe coders & teams who want to plan smarter, not slower.

[Other] Auto-sync standardized labels across all your GitHub repos Auto-sync standardized GitHub labels across all your repos. Runs daily or on-demand, intelligently removes outdated labels & adds missing ones. Perfect for developers wanting consistent, professional repos without manual work. 100% free & open source.

[Monitoring/Observability] Unified monitoring CPU, GPU, Memory on Servers & MacOs Monitor in realtime your Mac hardware and your remote server usage, all in one interface.

[Other] Free Online Website Screenshot and Video Recording Tool Capture website screenshots in PNG, JPEG, & PDF with this online tool—ideal for developers, marketers, & designers. New features: scrolling video recording (MP4, WEBM, GIF) & a programmatic API for screenshots/videos. Streamline your workflow—try it now!

[API/SDK] Show HN: Pyproc – Call Python from Go Without CGO or Microservices Hi HN!I built *pyproc* to let Go services call Python like a local function — *no CGO and no separate microservice*. It runs a pool of Python worker processes and talks over *Unix Domain Sockets* on the same host&#x2F;pod, so you get low overhead, process isolation, and parallelism beyond the GIL.<p>*Why this exists*<p>* Keep your Go service, reuse Python&#x2F;NumPy&#x2F;pandas&#x2F;PyTorch&#x2F;scikit-learn. * Avoid network hops, service discovery, and ops burden of a separate Python service.<p>*Quick try (\~5 minutes)*<p>Go (app):<p>``` go get github.com&#x2F;YuminosukeSato&#x2F;pyproc@latest ```<p>Python (worker):<p>``` pip install pyproc-worker ```<p>Minimal worker (Python):<p>``` from pyproc_worker import expose, run_worker @expose def predict(req): return {&quot;result&quot;: req[&quot;value&quot;] * 2} if __name__ == &quot;__main__&quot;: run_worker() ```<p>Call from Go:<p>``` import ( &quot;context&quot; &quot;fmt&quot; &quot;github.com&#x2F;YuminosukeSato&#x2F;pyproc&#x2F;pkg&#x2F;pyproc&quot; ) func main() { pool, _ := pyproc.NewPool(pyproc.PoolOptions{ Config: pyproc.PoolConfig{Workers: 4, MaxInFlight: 10}, WorkerConfig: pyproc.WorkerConfig{SocketPath: &quot;&#x2F;tmp&#x2F;pyproc.sock&quot;, PythonExec: &quot;python3&quot;, WorkerScript: &quot;worker.py&quot;}, }, nil) _ = pool.Start(context.Background()) defer pool.Shutdown(context.Background()) var out map[string]any _ = pool.Call(context.Background(), &quot;predict&quot;, map[string]any{&quot;value&quot;: 42}, &amp;out) fmt.Println(out[&quot;result&quot;]) &#x2F;&#x2F; 84 } ```<p>*Scope &#x2F; limits*<p>* Same-host&#x2F;pod only (UDS). Linux&#x2F;macOS supported; Windows named pipes not yet. * Best for request&#x2F;response payloads ≲ \~100 KB JSON; GPU orchestration and cross-host serving are out of scope.<p>*Benchmarks (indicative)*<p>* Local M1, simple JSON: \~*45µs p50* and *\~200k req&#x2F;s* with 8 workers. Your numbers will vary.<p>*What’s included*<p>* Pure Go client (no CGO), Python worker lib, pool, health checks, graceful restarts, and examples.<p>*Docs &amp; code*<p>* README, design&#x2F;ops&#x2F;security docs, pkg.go.dev: [<a href="https:&#x2F;&#x2F;github.com&#x2F;YuminosukeSato&#x2F;pyproc" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;YuminosukeSato&#x2F;pyproc</a>](<a href="https:&#x2F;&#x2F;github.com&#x2F;YuminosukeSato&#x2F;pyproc" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;YuminosukeSato&#x2F;pyproc</a>)<p>*License*<p>* Apache-2.0. Current release: v0.2.x.<p>*Feedback welcome*<p>* API ergonomics, failure modes under load, and priorities for codecs&#x2F;transports (e.g., Arrow IPC, gRPC-over-UDS).<p>---<p><i>Source for details: project README and docs.</i> ([github.com][1])<p>[1]: <a href="https:&#x2F;&#x2F;github.com&#x2F;YuminosukeSato&#x2F;pyproc" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;YuminosukeSato&#x2F;pyproc</a> &quot;GitHub - YuminosukeSato&#x2F;pyproc: Call Python from Go without CGO or microservices - Unix domain socket based IPC for ML inference and data processin&quot;

[CLI Tool] Show HN: HN Term – browse HN using the terminal Hey HN! I&#x27;ve created a terminal interface to browse HN using only the keyboard.<p>You can expand&#x2F;hide replies, open external links, browse top, new, ask, show and jobs.<p>All key bindings and theme colors are customizable :)<p>It was built with React, OpenTUI, bun and HN API, had a lot of fun building this, excited to hear your feedback!

[Other] Asciinema CLI 3.0 rewritten in Rust, adds live streaming, upgrades file format

[Other] Show HN: MCP Server Installation Instructions Generator Hey HN, we’ve been experimenting a lot with MCP servers lately, and one of the most time-consuming challenges has been connecting MCP clients to remote MCP servers. To solve this, we built a library that generates them on the fly, enabling 1-click installation buttons and links for most clients out there.<p>Feel free to try out the generator and use it to improve the README of your remote MCP server with the generated markdown. You can even configure the library to return HTML instructions if someone accesses your remote MCP server via the web.

[Other] Show HN: Daffodil – Open-Source Ecommerce Framework to connect to any platform Hello everyone!<p>I’ve been building an Open Source Ecommerce framework for Angular called Daffodil. I think Daffodil is really cool because it allows you to connect to any arbitrary ecommerce platform. I’ve been hacking away at it slowly (for 7 years now) as I’ve had time and it&#x27;s finally feeling “ready”. I would love feedback from anyone who’s spent any time in ecommerce (especially as a frontend developer).<p>For those who are not javascript ecosystem devs, here’s a demo of the concept: <a href="https:&#x2F;&#x2F;demo.daff.io&#x2F;" rel="nofollow">https:&#x2F;&#x2F;demo.daff.io&#x2F;</a><p>For those who are familiar with Angular, you can just run the following from a new Angular app (use Angular 19, we’re working on support for Angular 20!) to get the exact same result as the demo above:<p>```bash ng add @daffodil&#x2F;commerce ```<p>I’m trying to solve two distinct challenges:<p>First, I absolutely hate having to learn a new ecommerce platform. We have drivers for printers, mice, keyboards, microphones, and many other physical widgets in the operating system, why not have them for ecommerce software? It’s not that I hate the existing platforms, their UIs or APIs, it&#x27;s that every platform repeats the same concepts and I always have to learn some new fangled way of doing the same thing. I’ve long desired for these platforms to act more like operating systems on the Web than like custom built software. Ideally, I would like to call them through a standard interface and forget about their existence beyond that.<p>Second, I’d like to keep it simple to start. I’d like to (on day 1) not have to set up any additional software beyond the core frontend stack (essentially yarn&#x2F;npm + Angular). All too often, I’m forced to set up docker-compose, Kubernetes, pay for a SaaS, wait for IT at the merchant to get me access, or run a VM somewhere just to build some UI for an ecommerce platform that a company uses. More often than not, I just want to start up a little local http server and start writing.<p>I currently have support for Magento&#x2F;MageOS&#x2F;Adobe Commerce, I have partial support for Shopify and I recently wrote a product driver for Medusa - <a href="https:&#x2F;&#x2F;github.com&#x2F;graycoreio&#x2F;daffodil&#x2F;pull&#x2F;3939" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;graycoreio&#x2F;daffodil&#x2F;pull&#x2F;3939</a>.<p>Finally, if you’re thinking “this isn’t performant, can’t you just do all of this with GraphQl on the server”, you’re exactly correct! That’s where I’d like to get to eventually, but that’s a “yet another tool” barrier to “getting started” that I’d like to be able to allow developers to do without for as long as I can in the development cycle. I’m shooting to eventually ship the same “driver” code that we run in the browser in a GraphQl server once all is said and done with just another driver (albeit much simpler than all the others) that uses the native GraphQl format.<p>Any suggestions for drivers and platforms are welcome, though I can’t promise I will implement them. :)