Build production UIs quicker with Google Stitch’s React Components skill that outputs token-driven code, helping you ship ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Prevent AI-generated tech debt with Skeleton ...

AI agents are approaching the kind of breakthrough moment that APIs had in the early 2010s. At that time, REST and JSON unlocked system-to-system integration at scale by simplifying what had been a ...

The guide provides a tutorial on building an advanced artificial intelligence (AI) agent using Python and Retrieval Augmented Generation (RAG). The AI agent is capable of utilizing various tools and ...

Model Context Protocol (MCP) use is increasing in popularity for connecting AI agents to data sources, and other services. But so too are vulnerabilities that bring unique risks to agentic systems.

One of the biggest issues with large language models (LLMs) is working with your own data. They may have been trained on terabytes of text from across the internet, but that only provides them with a ...

Oat++ is an open source, C++ web framework for building web applications, and MCP is the Anthropic-developed standard for connecting AI agents with data sources. oatpp-mcp is the Oat++ framework's MCP ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...