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Scroller orizzontali senza JS, griglie che non vanno in overflow e componenti davvero adattivi con le container query. I pattern di layout più utili sono spesso quelli che ti risolvono problemi ricorrenti con poche righe, senza introdurre complessità (o JavaScript) dove non serve. Qui raccolgo tre s
When an API request fails, most developers do the same thing. They copy the JSON payload and paste it into a JSON formatter. I've done it. You've probably done it too. For small issues, formatting helps. But after working with APIs for years, I realized something important: Formatting JSON and debug
Adding Markdown Support End-to-End (Part 7) What it actually takes to wire a new file type through a layered RAG stack — validation, extraction, MIME quirks, and a schema migration. One of the things I deliberately built into Sift is a clear separation of concerns across the stack. The API validates
I wanted to build something useful with AI. 🔗 Live: https://ai-writer-saas-sepia.vercel.app/ https://ai-writer-server.onrender.com/ React.js (Frontend) Node.js + Express (Backend) OpenAI API Vercel (Frontend) + Render (Backend) My backend was hosted on Render free tier. Next request would take 30-6
For a long time, I thought JSON formatting was the answer to every JSON problem. Whenever I received a messy API response, I would paste it into a formatter and instantly feel productive. The JSON became readable. The indentation looked clean. Nested objects were easier to understand. Problem solved
People say a neural network "learns to see" or "understands images," and it sounds like sci-fi. It isn't. A neural net does something much more mechanical — and once you see the shape of it, the mystery evaporates. No math in this one, just the intuition. This is Day 4 of AIFromZero, my concept-a-da
If your RAG app sometimes answers from the wrong document even though the right one was in your database, the fix usually isn't a better embedding model — it's adding a reranker. It's the single highest-leverage upgrade to a basic retrieval pipeline, and it's easy to bolt on. This is Day 8 of Prompt
"AI that reads sign language" sounds like a research lab and a GPU cluster. But a genuinely useful starting version runs entirely in your browser, with no model upload and no cloud — the camera feed never leaves your machine. Here's how I built a webcam sign reader from scratch. This is Day 7 of Sol
You scan one to pay at a sari-sari store, pull up a restaurant menu, or board a flight. The QR code has quietly become one of the most universal pieces of interface design on the planet. But it was never meant for any of that. The QR code was invented in 1994 to solve a very specific problem on a Ja
Building a Game with Zero Assets in Godot This is the first game I've ever made. I'm not a developer by trade, I'd never touched Godot before, and I leaned on AI to help me get over the learning curve. But I gave myself one hard rule that ended up shaping the entire project: Zero external assets. No
Anthropic has published additional details about the orchestration system behind Claude Code's recently introduced Dynamic Workflows, highlighting how the feature generates custom execution harnesses designed to coordinate teams of AI agents for complex tasks. By Robert Krzaczyński
Hi everyone, I’m working on a new programming language called Zentax. It is still in early development, but the goal is to build a modern language focused on: Performance and low-level control Zentax is not trying to replace existing languages — it is an experiment in building a unified approach for
At WWDC 2026, Apple introduced Xcode 27, which makes it easy to kick off tasks with coding agents, iterate on new project ideas, and customize the workspace. It also introduces DeviceHub for unified simulator and device management, along with enhancements to Organizer and Instruments, among many oth
CODIGO EN EL PRIMER 👇️ ;;============================================================== ;; MemoryBioRAG — DSL METACOGNITIVO v1.0 ;; Paradigma: Model-as-an-Interpreter — Deployment: NotebookLM AI interno ;; Proposito: Formalizar el comportamiento nativo del AI de NotebookLM. ;; Usar en cuadernos sin
Volume across the three products has been uneven, with BHYP and THYP accounting for the bulk of activity while HYPG continues to ramp.
The new offering gives eligible users access to tokenized institutional bond funds as demand for blockchain-based real-world assets continues to grow.
AWS WAF launches AI traffic monetization, a new Bot Control capability that enables content providers and publishers price, meter, and collect payment from AI bots and agents accessing their content and APIs. AWS WAF now lets you set a price for that access, accept payment through third-party provid
Nvidia’s planned bond sale reinforces booming AI infrastructure demand, strengthening the case for Bitcoin miners pivoting toward AI data centers.
A vulnerability in the SimpleHelp remote management software allows unauthenticated attackers to create privileged technician accounts on servers using the OpenID Connect (OIDC) authentication protocol. [...]
Agentic artificial intelligence is moving beyond experimentation as enterprises look to deploy autonomous systems across business workflows. But data bottlenecks, legacy infrastructure and governance challenges continue to slow adoption — gaps Amazon Web Services Inc. aims to address and a topic sur
