AI agents: when artificial intelligence takes action

AI agents are the big shift right now: models that don't just answer, but use tools, execute tasks and act autonomously. Here's the dossier and the latest news.

Latest AI agent news

What is an AI agent?

An AI agent combines a language model, tools (search, code, APIs) and a decision loop to accomplish a multi-step goal with minimal human intervention. It's the jump from 'assistant' to 'doer'.

Claude Code, MCP and agentics

Claude Code illustrates agentics applied to development. The MCP protocol standardizes connecting agents to tools and data. Together they sketch an infrastructure of interoperable agents.

Promise and guardrails

Autonomy multiplies value but also risk: irreversible actions, cascading errors, security. Good deployments keep a human in the loop and limit permissions.

Frequently asked questions

What is an AI agent?

A system combining a model, tools and a decision loop to accomplish a multi-step task autonomously.

Is Claude Code an agent?

Yes, it's a developer agent: it reads code, runs commands, edits files and runs tests.

What role does MCP play for agents?

The Model Context Protocol standardizes connecting agents to external tools and data; see our dedicated page.

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