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.

Anthropic on AI Agents in Cybersecurity: Capabilities and Pitfalls
Anthropic published research on the application of AI agents in cybersecurity — developer Edgar Sipki analyzed the document and asked diffic

Claude Code Launched Agent Team Mode: A Team of AI Agents Instead of One
The experimental Agent Team mode in Claude Code launches multiple independent agents in parallel: each breaks down tasks from a shared list

Why developers argue about AI-agent memory: technique or philosophy?

How an AI agent organized a photo archive of 36,000 images and emails from 2005 in one evening

Coinbase for Agents: AI agents gain access to user trading portfolios

Box AI Built an Agent for Corporate Content on LangChain's Deep Agents

Google Launches Gemini 3.5 and Omni: Agents, Video Generation, and New Hardware
Google announced its entry into the era of agentic AI models with Gemini 3.5 and Gemini Omni, capable of solving complex tasks and generatin

Replit Launches Parallel AI Agents to Speed Up Development
Replit integrated parallel AI agents into its IDE. Multiple agents now work simultaneously on tasks, reducing development time by 3-4x.













