Dyad AI from JuliaHub is bringing an AI-for-Science environment to product development. Users can model and interrogate ...

Quality engineering must evolve faster than code; otherwise, agentic AI will move quickly, learn rapidly and fail expensively.

As organizations scramble to enact agentic AI solutions, accessing proprietary data from all the nooks and crannies will be key By now, most organizations have heard of agentic AI, which are systems ...

Context engineering is quickly becoming the backbone of modern artificial intelligence as organizations push for systems that stay accurate, grounded and predictable while handling increasingly ...

The report highlights that only 15% of mid-market enterprises have scaled agentic AI. It offers a framework to help ...

Enterprise AI has crossed a critical threshold. AI systems are no longer limited to recommending actions or generating insights. Increasingly, they are taking actions—approving refunds, initiating ...

In the past few years, software engineering has undergone a rapid transformation. Artificial intelligence has moved from novelty to infrastructure. Tools like GitHub Copilot, Cursor, and Claude Code ...

Adoption of agentic AI is likely to increase by 2026. Gartner has predicted that agentic AI adoption will soar to nearly 40%, driving more than $450 billion in value by 2035. This projection ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...

Microsoft has acquired Osmos to bring autonomous, agentic data engineering into Microsoft Fabric. Osmos technology automates data preparation and transformation within Fabric workflows. The ...