Month: January 2026

EvoCUA demonstrates that AI agents can learn to use computers effectively by evolving through large-scale synthetic tasks, reducing the need for expensive human training data.

How are you, hacker? 🪐Want to know what’s trending right now?: The Techbeat by HackerNoon has got you covered with fresh content from our trending stories of the day! Set email preference here. ## Claude Code Launches Teleport Workflow: Start Anywhere, Continue Everywhere By @proflead [ 4 Min read ] Read More. AI Doesn’t Mean … Read more

Learn how Bria’s fibo-edit/edit/structured_instruction converts natural-language edit requests into structured instructions for precise, reproducible image modifications and scalable workflows.

There is a fringe theory floating around the internet—popularized by videos like “How to Summon AI Demons with LLMs”—that claims AI isn’t just math. The theory suggests that Large Language Models (LLMs) are potential “portals” for disembodied consciousness, but they are limited by their deterministic code. If you could just inject enough true entropy (randomness) … Read more

Introduction The hypermedia renaissance is in full swing. After years of SPA dominance, developers are rediscovering the power of server-driven architectures that leverage HTML as the engine of application state. The framework leading this charge, HTMX, focuses exclusively of hypermedia. An alternative, Lightview, doesn’t lock you into hypermedia-only patterns. Unlike HTMX’s focused hypermedia approach, Lightview … Read more

:::tip The prompt below created much of the article after it, with some major editing, clarifications, and rephrasing. ::: AI-Prompted Recursive Prompt “You are tasked with writing a sophisticated, technically grounded article for HackerNoon that argues for recursive prompt engineering—where LLMs generate their own optimized prompts before executing tasks. Core Objectives: Demonstrate that LLMs can … Read more

A reflection on clean code, five years later. What still holds up, what feels incomplete, and how experience changed how I think about cleanup.

Amazon-like recommendations feel like magic—until you trace the data pipeline. Learn the Design–Build–Maintain trade-offs behind real-time systems, decoupling, and data quality.

Picture this: You’re coding a subset generator (you know, classic computer science stuff that makes you question your life choices at 2 AM). Your code has syntax errors. No problem! You feed it to an AI assistant. The AI confidently fixes your syntax… and introduces a subtle logic bomb that would make any algorithms professor … Read more

I spent my weekend deep in the LaraPlugins.io code base, tackling performance bottlenecks and laying the groundwork for the next phase of the platform.

In Google Calendar’s Secret Engineer Weapon: Restraint, I praised Google for unapologetically saying “no” to the temptations of modernity. Thanks for reading Fullstack Engineer! Subscribe for free to receive new posts and support my work. Subscribe “Use a frontend framework.” No. JavaScript. “Use Typescript.” No. Javascript. “Use a trendy CSS tool.” No. CSS classnames. “Give … Read more

You’ve mastered streaming text. The AI types, the user reads, and the magic of perceived performance is achieved. But what if the AI could do more than just tell? What if it could show and let you interact? Welcome to the paradigm shift. We are moving Beyond Text. In this guide, we’ll explore how to stream actual React components directly … Read more