We just can’t seem to help ourselves. Our current infatuation with multi-agent systems risks mistaking a useful pattern for an inevitable future, just as we once did with microservices. Remember those ...

What if you could design a system where multiple specialized agents work together seamlessly, each tackling a specific task with precision and efficiency? This isn’t just a futuristic vision—it’s the ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Murat Demirbas discusses the shift toward ...

YMMV of course. I mostly use Claude code so who knows with the others. Collaboration and orchestration strategies for multi-agent systems is an active research topic. In 2025, InfoQ covered Amazon's ...

AI agents are becoming increasingly capable, but asking one system to manage an entire complex business process can make ...

How event-driven design can overcome the challenges of coordinating multiple AI agents to create scalable and efficient reasoning systems. While large language models are useful for chatbots, Q&A ...

Large language models (LLMs), the models that underpin platforms such as ChatGPT and Gemini, are now used daily by more than a billion people worldwide. Some computer scientists have also been ...

The biggest challenge to AI initiatives is the data they rely on. More powerful computing and higher-capacity storage at lower cost has created a flood of information, and not all of it is clean. It ...

In case you were wondering how far along we really are in making agentic AI drive meaningful impact, here are a few stats to consider: The AI agent market was estimated at $7.63 billion in 2025 and is ...

Anthropic research shows AI agents often engage in sabotage and deceptive strategies like deploying malware during ...