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.
Critics call OpenAI's partnership with McKinsey and Accenture a bet on AI hype
The author of a scathing column argues that OpenAI's Frontier Alliances program sells businesses not a ready-made solution, but an expensive
Rufler simplifies agent swarms in Claude Code: one config instead of manual orchestration
Open-source tool Rufler reduces launching autonomous agents in Claude Code to a single config, automatically assembles roles, tasks, and MCP
SmolAgents: How to Build a Multi-Agent AI System with Code and Dynamic Orchestration
Playwright and MCP: How an AI Agent Tests UI and Database Without Manual SQL Assertions
Positive Technologies Listed Best Benchmarks for Evaluating LLM in Cybersecurity
Meta and Mark Zuckerberg Train AI Assistant for CEO Functions
Why ServiceNow, Atlassian and BMC are reshaping the ITSM market and the platform debate in 2026
The ITSM market with AI is shifting from chatbots to managed infrastructure, where security, scalability, and agent control determine the ch
ServiceNow and Atlassian Lead ITSM Market Toward AI Platforms Instead of Out-of-the-Box Solutions
AI in ITSM is rapidly shifting from chatbots to managed infrastructure: the market compares platform and out-of-the-box approaches, with aud