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.

Undercover Agents: Why Your AI Is More Dangerous Than Hackers
While tech directors argue about which model writes code better, boards of directors have started asking far more uncomfortable questions.

The vibe coding trap: why your AI agents are actually slowing down
The Vibeoding Trap: Why Your AI Agents Are Actually Slowing You Down Strange question, isn't it? AI agents certainly have plenty of problems

OpenAI Data Agent: Why the Company No Longer Needs Human Analysts

Moltbook: Why AI-agents need their own social network and why you're not welcome there

The End of the SaaS Era: Why Asian Investors Started Dumping Developer Shares

Xcode surrenders: Apple hands control to OpenAI and Anthropic agents

Claude Agent SDK: now even pension funds are building their own AI agents
Imagine a typical pension fund. Tons of documentation, endless reports and regulatory requirements that would grind the gears of even season

Context is more important than code: how to properly hire a neural network into your team
Imagine you hired a brilliant intern who has read every book in the world but has no idea how coffee is brewed in your office or who to emai













