AI Agents
AI agents are LLM-powered systems that don't just answer — they plan steps, call tools and drive a task to completion: writing code, searching the web, booking, analyzing. 2026 became the year of agents, from coding agents to autonomous researchers. This page gathers all our coverage of agentic AI: launches, protocols (MCP, A2A), reliability and real-world use.
A Safe AI Assistant: Is Reliable Protection Possible in the Age of Autonomous Agents?
The shift from simple chatbots to autonomous agents opens new possibilities, but it also brings critical risks to data and system security.
The Death of Icons: Why 80% of Mobile Apps Could Soon Become Unnecessary
Future operating systems will run on intent, not buttons. OpenClaw and new Apple and Google strategies are turning apps into simple data channels for AI.
Google unveils NAI: Gemini-powered adaptive interfaces for inclusive design
Google Research wants to rethink software accessibility. The NAI framework uses Gemini AI agents to adapt an interface instantly to a user's physical abilities and…
Clawdbot: Why Wang Huiwen Is Betting on "Wild" Agents (and What That Means for Your Wallet)
AMI Labs: Yann LeCun Finally Building the AI He's Been Arguing About for Years
Claude Code: Anthropic built a tool that is changing the company itself
PaperBanana: Google teaches AI to draw charts that won't embarrass you in front of reviewers
Codex CLI and agent loop: how autonomy magic actually works
It seems we've begun to forget that behind every "smart" action of a neural network stands not magic, but rather a fairly cumbersome engineering framework.
Cyberwars 2026: When Algorithms Attack at the Speed of Light
Traditional security is dead. In 2026, AI attacks unfold faster than a human can blink. Here is how to survive in a world where a breach is inevitable.
Moltbook: When AI Agents Decided Humans Are the Unnecessary Link
DeepSeek vs. GPT-5: China Turns Its Tech Market Into a Gladiator Arena
Anthropic vs LegalTech: how $20 a month turned $300 billion into dust
Opus 4.6: AI agents are ready to replace lawyers in court
Architectural Divorce: Why Your AI Agents Need to Separate Logic from Inference
Moving from prototypes to real business breaks AI agents. Separating logic from inference turns a temperamental neural network into a reliable tool for scaling.
SaaS Under Fire: Why AI Is Forcing Investors to Flee the Cloud
SaaS Under Pressure: Why AI Is Forcing Investors Out of the Cloud The cloud software market right now resembles a party that the police suddenly burst into and shut…