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.
Anthropic in talks to raise $30 billion at a $900 billion valuation
Claude maker could become more valuable than OpenAI: Anthropic is in talks for a $30 billion round at a valuation above $900 billion, just three months after its…
The best code didn't win: what the Dev-to-Dev hackathon final says about agentive engineering
At the Dev-to-Dev hackathon final, a project with flawless code (65 tests, full type coverage, security) took second place. The winning solution was the one that…
BCG trains AI agent Jamie on mistakes, not successes
Boston Consulting Group has launched AI agent Jamie, which learns not only from successful calls but also from the mistakes of the company’s top salespeople.
Anthropic integrates Claude into QuickBooks, HubSpot and Canva for small businesses
Apple to allow AI agents in the App Store under strict restrictions
JPMorgan: AI investments drive the market despite economic challenges
How AI agents will transform data analysts' work in 2026
5 small open models with tool calling: agents that don't need the cloud
Compact language models can now invoke functions and use tools without cloud services, while remaining open and low-cost.
AWS and Cisco address three AI agent security issues when scaling
The AWS and Cisco AI Defense partnership addresses visibility, security, and compliance issues when deploying large numbers of AI agents at the enterprise level…
Secure browser for AI agents: how AWS Bedrock uses Chrome policies
Stream Vision Agents with Amazon Nova 2 Sonic: voice bots for production in minutes
How to choose an AI agent architecture: a decision tree from Machine Learning Mastery
Musk's xAI unveiled Grok Build, its first AI coder to compete with Claude
Managing AI agents is now easier: the best open-source interfaces
User-friendly open-source tools with graphical interfaces have emerged for managing a fleet of AI agents. They help build task pipelines and distribute work among…
BerriAI released LiteLLM Agent Platform for agents in production
Running an AI agent in a local script is simple. Running it reliably in production, synchronizing between restarts, providing isolated environments for different…