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.
How AI agents for writing code work and what matters to know about them
From context compression tricks to multi-agent teamwork, we break down the mechanics of tools that are already changing the programming prof
Agentation: the tool changing the way developers communicate with AI agents
In two months, Agentation reached 120,000 downloads on npm and promises to make work with Claude Code twice as fast. We look at what is behi
From autocomplete to autonomy: how to build a full-fledged AI agent
The story of how disappointment with the capabilities of Cursor and Claude Code led to the development of a truly autonomous AI assistant wi
Crisis of Trust: Why Multi-Agent AI Systems Break Down in Practice
Multi-agent systems look impressive in demo recordings, but their unpredictability in real-world tasks remains the main barrier to widesprea