Tech industry visionaries foresee a fundamental shift in network intelligence. Microsoft CEO Satya Nadella envisions humans collaborating with AI agent swarms, while Nvidia CEO Jensen Huang projects a ...

Data teams building AI agents keep running into the same failure mode. Questions that require joining structured data with ...

As autonomous AI agents and multi-agent systems transition from experimental pilots into real production environments, software engineers are increasingly being asked to design, integrate, and ...

But in practice, prompt iteration has historically felt disjointed and slow. Makers previously balanced their flow of work with jumping into a separate editor, making a small change, testing it, and ...

Varun is a Product management and AI leader, shaping the future of tech with strategic vision, AI platforms and agentic-AI experiences. Three weeks ago, I witnessed AI agents solving a complex ...

Multi-agent systems, like microservices, can be powerful. But most enterprises risk adding distributed complexity long before ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Agent workflows make transport a first-order ...

Why Multi-Agent Systems Outperform Traditional AutomationEnterprises have squeezed value from automation by codifying workflows, eliminating repetitive tasks and streamlining handoffs for more than a ...

Software development is experiencing its most consequential architectural shift since the emergence of open-source ecosystems and cloud-native computing. Generative AI has rapidly transitioned from an ...

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 ...