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.
GitLab Duo CLI: managing AI agents in CI/CD pipelines
When an AI agent runs in CI/CD without human approval, built-in control systems are needed. GitLab addresses this at the platform level with
🎧 Startups and Investments: The Week's Main Stories
You know, we have a massive pile of fresh analytics, court leaks, and financial reports showing how AI development has become heavy industry
🎧 Weekly Summary · 2026-W21
Sigma Computing doubled its valuation to $3 billion in Series E round amid agentic analytics race
Peter Steinberger spent $1.3 million on API in a month of OpenClaw experiments
Apple will present iOS 27 with a private AI assistant at WWDC
How to Create a Fully-Functional AI Agent in 10 Steps: A Guide for Russian Business
AI agents are neural networks assembled into working systems capable of independently performing repetitive tasks.
How Google Cloud Protects Systems from AI Agents: Agent Gateway
A developer from the startup PocketOS gave an AI agent based on Claude Opus 4.6 a task. The agent executed it literally — in 9 seconds, it d