Imagine a world where machines don’t just follow instructions but actively make decisions, adapt to new information, and collaborate to solve complex problems. This isn’t science fiction, it’s the ...

What’s the best way to bring your AI agent ideas to life: a sleek, no-code platform or the raw power of a programming language? It’s a question that sparks debate among developers, entrepreneurs, and ...

It’s easy to get caught up in technology wars—Python versus Java versus NextBigLanguage—but the hardest part of AI isn’t the tools, it’s the people. Domain knowledge, skills, and adoption matter more ...

The Google ADK is a capable and mostly complete framework for developing agents, with support for multiple agent types, multi-agent architectures, and multiple programming languages. The Google Agent ...

Overview: LangGraph currently leads advanced AI workflow development with strong memory and execution control.CrewAI and ...

MotherDuck is launching Flights, an agent-native data pipeline that enables users to choose the MCP server and AI agent of their choice to build and deploy data pipelines in minutes using a flexible, ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Andy Brinkmeyer shares how engineering ...

Key Takeaways -   To understand data science, one needs a lot of technical expertise along with business understanding. Generative AI, MLOps, and clou ...

AI Agent Essentials is a scenario-driven course designed for non-technical and lightly technical professionals. (Image source: 123RF) AI agents are moving from experimental tools to active ...

Microsoft says Agent Framework 1.0 is the production-ready release, with stable APIs and long-term support for both .NET and Python. The framework is presented as a unified successor path that builds ...

AI agents are now taking over repetitive work, identifying issues humans may miss, and helping teams maintain testing speed ...