Auto-aggregated global tech articles · 1,244 posts
I like vibe coding. I'm not here to shame anyone out of it. Some of the best things I've shipped started as a half-formed idea typed into a chat box at 11pm. But if you've done this for more than a weekend, you know the shape of the problem. The first prompt is magic. The fifth one is negotiation.
It's free to use and no-ads. I’ve been experimenting with interactive websites and wanted to make something that felt more like an experience than a normal webpage. So I made Oceana, where you can create a personalized underwater story for someone. You choose the names, fish colors, friendship/roman
How to connect LLM agents to verified African examination content, deliver progressive Socratic hints, and diagnose student misconceptions without hallucinating. Large Language Models (LLMs) like Claude 4.6 Opus and GPT-4 possess formidable general reasoning capabilities. However, when deployed in
"Building builders, not just learners." Technology is changing faster than ever, and cloud computing has become the backbone of today's digital world. From global companies to ambitious startups, organisations everywhere depend on the cloud to build applications, manage data, and deliver smart, sc
Hi everyone, I wanted a fast, privacy-focused way to track equipment, tools, and inventory using physical NFC tags and QR codes without handing my data over to a third-party SaaS cloud. So, I built an app called GridStorage. A quick note on how it was built: I used AI to help (of course) code this,
Core claim: A green run after an agent patch is not validation. It is a zero exit code from a suite the model was allowed to edit. Route every failing nodeid into one of three planes—property, fixture, or freeze—before any generator may touch a test file. Reject the patch if a case changes planes, e
Google has introduced Gemini 3.8 Flash and Gemini 3.8 Flash Cyber, two new models in its Flash family. Gemini 3.8 Flash targets coding, software engineering, agentic workflows and multi-step reasoning, while the Cyber variant is designed for vulnerability discovery and automated patching for trusted
Here's a fun idea to toy with. Remove a person from a job, yet somehow manage to convince them that it was their decision to walk away. No severance. No negative publicity. No uncomfortable company-wide meetings where the CEO cites a "challenging environment" in a letter. And many companies are inte
Most teams debugging a disappointing RAG system start at the end of the pipeline. They swap the model, tune the prompt, raise top k. The answer quality barely moves, because the problem arrived long before the query did. A retrieval system can only return what it indexed. Everything downstream inhe
My homelab includes a small VPS hosted on the internet; let's call it myserver.example.com. It provides me with a static IP address and it mainly runs an application that gathers data for me. For security reasons, the only open port is the SSH one (22) with the password disabled, I can only access w
For a few weeks I ran a proper multi-agent orchestrator. The concept was right, and I still think the people building those tools are pointed the correct way. But the bill was absurd, and it took me a while to work out why. It wasn't the coding. It was the talking about the coding. Every turn, age
Article URL: https://rietta.com/blog/ruby-on-rails-cve-exploited-hours-after-patch/ Comments URL: https://news.ycombinator.com/item?id=49568828 Points: 39 # Comments: 10
These three get lumped together as "AI coding tools," but they're solving genuinely different problems in your workflow, inline completion, full-editor AI integration, and autonomous multi-file agentic work. Here's how they actually differ, and which combination makes sense depending on what you're
Meta Description: How I built a full-stack image-to-3D pipeline using Gemini, Hunyuan3D-2, LangGraph, FastAPI, Trimesh, and WebGL. I wanted to experiment with a problem that sounds simple: Can a single 2D image be turned into a usable 3D model? A single image gives us information about the visib
43.1 Introduction The previous chapter established the AI orchestration layer for controlled model inference. The next architectural step is the AI agent layer. A conventional AI request normally follows: User → Model → Response An agentic system can instead follow: Goal → Plan → Retrieve → R
GPT-6 Astra from OpenAI is now available in GitHub Copilot. OpenAI’s latest general-purpose model, GPT-6 Astra, is designed for long-horizon, autonomous coding and agentic tasks. In our internal testing, GPT-6… The post GPT-6 Astra is generally available in GitHub Copilot appeared first on The GitHu
I have spent more than four years shipping production software, and I have no public repositories worth showing you. Everything substantial I have written at work lives in private repositories that belong to the companies I wrote it for, and confidentiality obligations do not lapse when a role ends.
Article URL: https://github.com/anthropics/fermats-last-theorem Comments URL: https://news.ycombinator.com/item?id=49568697 Points: 15 # Comments: 3
Article URL: https://mullvad.net/en/blog/shutting-down-our-public-encrypted-dns-servers-and-sponsoring-quad9-instead Comments URL: https://news.ycombinator.com/item?id=49568579 Points: 28 # Comments: 3
Article URL: https://www.anthropic.com/research/formalizing-fermats-last-theorem Comments URL: https://news.ycombinator.com/item?id=49568506 Points: 67 # Comments: 19
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