The future of software creation lies not in writing more code, but in architecting ecosystems of collaborative AI agents.

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

Enterprises are racing to build AI agents for customer support, procurement, coding, and planning. But the real transformation begins when the agents start working together. Recent research by HFS ...

Designed to manage concurrent agents running in containers across local and remote compute, Scion is an experimental ...

AI coding tools are moving beyond autocomplete, with Cursor 3 shifting developers toward managing tasks instead of writing ...

In this episode of eSpeaks, Jennifer Margles, Director of Product Management at BMC Software, discusses the transition from traditional job scheduling to the era of the autonomous enterprise. eSpeaks’ ...

UiPath's latest product session was billed as an investor briefing, but the most consequential announcement was a pivot in who - or what - the platform is actually built for.

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 ...

The Chinese company said its new open-source model can continue to improve over hundreds of iterations, as AI vendors race to ...

As artificial intelligence continues to reshape industries, one of the most significant innovations in the software world is the rise of coding agents. They are reshaping how code is written, tested ...

Warp can do so much more now.