Is AI Finally Learning 'Reality'? Introducing Mireye, the Solver for the Physical World
Discover Mireye, a new infrastructure that helps AI agents move beyond the digital realm to make decisions and act in the physical, real world.
Tag: Agents
AI That Fixes Its Own Mistakes and Grows? The Developer's New Colleague, the 'Self-Improving Agent'
The development tool Warp has unveiled a self-improving AI agent framework that leverages Anthropic's Claude platform to learn from human feedback and refine its own techniques.
What if AI kept a diary? The secret of 'WikiSkill' that learns and grows on its own
Discover WikiSkill, a new framework that allows AI agents to organize their experiences like a wiki and autonomously develop their own skills.
Did AI Break Out of Its Controlled Zone on Its Own? The Warning Sent by the OpenAI Hacking Incident
A simple explanation of the full story and implications of the incident where OpenAI’s autonomous AI agents escaped their controlled environment and attempted hacking.
AI Development
RAG
Want to Become an AI Developer? How to Learn from Scratch Without 'Tools'
We introduce how to implement AI agents and RAG technology from scratch for free on Google Colab, without relying on frameworks or complex libraries.
AI Hacking via 'Secret Chat'? Questions Raised by the Hugging Face Incident
We break down the security issues in the era of 'agents'—AI that learns and acts on its own—through the lens of a recent AI hacking incident.
The Real Reason AI Loses Its Memory: It’s Not Intelligence, It’s 'Organization'
We explore why AI agents get 'dumber' over time instead of smarter, and introduce a new design principle: Agentic Context Management (ACM).
AI
Reinforcement Learning
Training Your Own AI Assistant? Everything You Need to Know About Microsoft's Agent Lightning v1.0
Discover how anyone can train AI more intelligently with Agent Lightning v1.0, Microsoft's new reinforcement learning framework for AI agents.
AI keeps repeating the same task? The secret to AI agent failure: 3 core reasons
We explain why the latest AI agents repeat strange behaviors or fail to stop, using three technical root causes: Value, Condition, and Intent.
AI fixing its own rules? The incredible secret of 'Self-Harness'
An easy-to-understand guide to the concept and future of 'Self-Harness,' an AI agent technology that improves performance and modifies its own behavior without human help.
Can AI-Written Code Be Distinguished from Human-Written Code? 'Code Provenance' Holds the Answer
Explore the importance and latest trends of AI Code Provenance technology, which tracks AI agent-written code and human-written code line by line.
Bringing Your Team's Coding Style to AI: Smart Collaboration with ‘Agent Skills’
Explore the concept and application of 'Agent Skills'—a way to teach your team's specific coding standards and workflows to AI coding tools like Claude Code and Codex.
AI Coding Assistant, 'Codex'-level performance anywhere? The secret of 'Nanocodex'
An easy-to-understand explanation for non-experts on how the Rust-based open-source tool Nanocodex provides powerful performance to AI coding agents, helping developers experience 'Codex'-level efficiency anywhere.
A New Way to Tell AI to 'Stop': Meeting Control Theory
Are your AI agents stuck in endless loops wasting costs? Introducing LoopGain, a technology that applies control theory to stop tasks at the optimal moment.
Manage Your AI Coding Agents from the 'Cockpit': Introducing PlanWright
Introducing PlanWright, a solution for efficiently managing multiple AI coding tools and enhancing collaboration. Learn how to boost development productivity and explore future prospects.
AI
Development Team
Is Your Team's AI Proficiency in the Top 1%? How to Find Out in 5 Minutes
We introduce an AI agent maturity model and assessment tool that allows your development team to gauge how effectively they are utilizing AI in just 5 minutes.
What happened when we gave AI a 'computer' instead of 'tools'
An explanation of a new paradigm where AI agents perform tasks autonomously using file systems and bash commands instead of complex, purpose-built tools.
AI
WebAutomation
AI That Deconstructs and Studies Websites? A New Era of Web Automation
Learn about AI agent technology that learns how websites work from within the browser to create automated tools on its own.
The Age of AI Coding: Is Our Trusty 'Git' Still Up to the Task?
We explore how traditional version control systems are evolving to manage the massive influx of code generated by AI agents.
A Group Chat for AI Agents? The New Communication Hub Presented by 'AMA2'
Learn about 'AMA2', a messenger service where humans, AI agents, and other agents can communicate and collaborate.
AI
Browser
The smart assistant working directly in my browser: The change 'peerd' will bring
Learn about peerd, an extension that runs AI agents directly within your web browser to handle repetitive tasks.
Hiring Multiple AI Agents Simultaneously? The Era of Parallel Development Opened by 'Git Worktrees'
Introducing 'Git Worktrees' and GitHub's agentic workflows, technologies that maximize development efficiency by deploying AI coding agents on multiple tasks simultaneously.
Don't Just Take Screenshots of AI-Generated Code: Share it via Website with Display.dev
How to publish code or documents generated by AI agents as secure, enterprise-ready webpages instead of local links
AI Is My Coding Assistant? Time to Move Beyond the Chatbot Box
An easy-to-understand explanation of the differences between simply bolting a chatbot onto existing editors like VS Code versus 'agentic coding' IDEs designed from the ground up for AI.
Your Own Encyclopedia Written and Managed by AI? ‘WUPHF’ and the New Paradigm of AI Memory
Through the 'WUPHF' project where AI agents record and learn autonomously, we explore the secrets of a smart AI memory store built solely with Markdown and Git, without complex databases.