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 ...

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 ...

Researchers at Google and MIT have conducted a comprehensive analysis of agentic systems and the dynamics between the number of agents, coordination structure, model capability, and task properties.

In the rapidly evolving landscape of enterprise AI, Multi-Agent Retrieval-Augmented Generation (MARS) systems are emerging as a cornerstone technology. These sophisticated systems, developed in ...

The January 2026 release of Visual Studio Code expands AI-assisted development with structured planning agents, parallel ...

According to a Deloitte survey, nearly 60% of the AI leaders and representatives are struggling with adopting AI agents, primarily due to integrating with legacy systems and addressing risk and ...

For too long, enterprises have failed to go beyond the view of AI as a product; an assistant that sits to the side, helping users complete tasks and delivering incremental productivity gains. This ...

What if the very systems designed to transform problem-solving are quietly failing behind the scenes? Multi-agent AI, often hailed as the future of artificial intelligence, promises to tackle complex ...

Multi-agent systems (MAS) comprise networks of autonomous entities that interact to achieve individual or collective goals. In the face of increasing system complexity and uncertainty, formal ...