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.
Yandex Code Assistant tested on secrets handling and compared against Cursor
An engineer at 'Infosystems Jet' tested Yandex Code Assistant on secrets management and showed the agent is nearly on par with Cursor, but s
Anthropic, Google and Microsoft Quietly Closed AI Agent Bugs Without CVE and Warnings
A researcher demonstrated that AI agents from Anthropic, Google and Microsoft can be forced to publish keys and tokens through prompt inject
Athena launches FabOrchestrator for MES automation in chip and electronics factories
Athena launched FabOrchestrator — an agentic AI layer for MES that automates reports, support tickets, modeling, and code generation in chip
Meta and Mark Zuckerberg Train AI Assistant for CEO Functions
Spektr raises $20M for AI agents for KYC and KYB in financial compliance
OpenAI adds sandbox execution to Agents SDK for control and secure AI agent execution
MTS showed how OpenClaw was connected to a robot and brought an AI agent into the physical world
Claude Sonnet Helps C-Suite Build AI Director for Critical Decisions in 8 Hours
At the closed Snow BASE hackathon, a team of CEO, CTO, and CIO assembled CAITO in eight hours — an AI director powered by Claude Sonnet that
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
Wildberries & Russ described what level of data maturity is needed for accurate AI agents
Cursor and Microsoft Research Test Whether AI Agents Need Full Debugger Access
OpenAI Turned Codex Desktop Into a PC Agent With Browser, Memory, and Plugins
Roblox turned its built-in AI assistant into an agent that plans, assembles, and tests games itself
Google explained how to develop Android applications with AI: six practical rules
Google compiled six practical rules for working with Gemini in Android Studio: from precise prompts and documentation to code privacy contro
Claude Code and Codex: how to reduce token losses with three markdown files
Claude Code and Codex often spend most of their context on repeated project navigation; this can be solved with a hierarchy of a global map,