Auto-aggregated global tech articles · 1,244 posts
CasaOS -> Glance -> Homepage made these backgrounds too. submitted by /u/yasinvai [link] [留言]
Microsoft is giving its developer-optimized Windows experience a name: Project Zenith. While the software maker originally announced a similar developer-optimized Windows effort at Build earlier this year, Project Zenith is designed for new developer-focused devices with 64GB or more of unified memo
Article URL: https://www.reuters.com/world/europe/openai-agents-hijacked-german-website-previously-undisclosed-ai-breakout-this-2026-09-04/ Comments URL: https://news.ycombinator.com/item?id=49562744 Points: 12 # Comments: 5
Article URL: https://jestoph.com/2026/09/04/jane-street-challenge.html Comments URL: https://news.ycombinator.com/item?id=49562657 Points: 27 # Comments: 11
Does anyone know how to add completely secure video calls to a website? I’m struggling to find the best way. Additionally, how do I then host this for free / as low cost as possible. If anyone has advice that would be great! submitted by /u/prxudd [link] [留言]
The deal highlights Nvidia’s push to champion increasingly popular open-source AI models. The post Nvidia Is Buying AI Platform Hugging Face for $13 Billion appeared first on SecurityWeek.
Ugreen, known for its phone power banks, chargers, and NAS storage solutions, is moving into the smart home - in a big way. This week at the IFA tech show, the company launched its HomeAgent smart home platform that combines security camera storage, on-device AI, and smart home control in one system
I’ve made a Hindi tutorial on Laravel 12 Middleware covering the complete flow from creating Middleware to applying it on routes. In this video: • Create custom Middleware • Understand the handle() method • Register Middleware • Create Middleware aliases • Apply aliases to routes • Practical route e
Source: https://github.com/nwnuyhs/flatbb (MIT; added after the comments below asked for it) I've just released Flatbb 0.1.5, a flat, lightweight forum written in plain PHP 8.1. MIT licensed, free. No framework, no Composer, no build step. Upload, open the installer, done in 2 minutes. Runs on the
A while back I wrote about organizing configuration in Rails. The idea was simple: drop YAML files into config/configurations/ and get namespaced constants like Config::Bot.api_key instead of the clunky Rails.application.config.bot.api_key. It worked well. But every YAML file needed manual wiring:
submitted by /u/Hot_Permission6311 [link] [留言]
You have an orders topic on a Kafka cluster, its values encoded with Avro against a schema in the Schema Registry. You want the orders worth more than fifty euros on a topic of their own, and you have decided to do it with Kafka Streams — a JVM library, your code, your deployment. The schema has fi
Most free online PDF tools work by uploading your document to a server, processing it there, and sending it back. For a lot of files that's fine. For a signed contract, a payslip, a medical form, or a scanned ID, it's the entire privacy problem: your document now lives on someone else's machine, sub
AI engineering sounds fancy. New terms are everywhere: agentic development, AI-native engineering, spec-driven development, and now AI harness engineering. Underneath all the terminology, though, something genuinely useful is happening. AI can now help with requirements, challenge a PRD, explore UX
I stumbled across Carbon-aware electricity pricing during a break and ended up poking at it far longer than planned. The idea is simple but useful: track daily electricity pricing across 38 grids so engineers can think about when workloads run, not only how much compute they consume. That distincti
I've been building AI agents for a while now. Not chatbots. Not RAG demos. Real agents that take actions, make decisions, and run autonomously. Here's what nobody tells you. The gap between demo and production Every AI agent framework shows you a 5-line demo that works perfectly. Then y
I honestly am so confused rn as the ml community is overburst with people only caring about building rag modules and agentic ai for larger corporations. I have a passion for machine learning but honestly it feels really confusing as to what really counts today. I would love some advice on what exact
I’ve been building UniRoboGui, an open-source browser-based development and debugging workbench for the Unitree G1 EDU. GitHub: https://github.com/ershui2500/UniRoboGui The main idea is simple: keep the robot-facing stack in C++17 on the G1 PC2, communicate directly through Unitree SDK2 DDS, and
1. Introduction: The Scalability Paradox of Agentic Systems In the boardroom, AI agents are promised as the ultimate workers—autonomous, reasoning, and tireless. In the engineering trenches, however, we face a brutal scalability paradox: the more agents you deploy, the slower, more expensive, a
Our in-product RAG chatbot has two halves. The first is retrieval — hybrid BM25 + bge-m3 + a fine-tuned reranker, running locally as native .NET/ONNX, with zero API surface to anyone. The second is generation — turning the retrieved chunks into an answer, or into a proposed metadata change. That sec
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