What MCP is in software development, how it connects AI models to tools and data, and why it matters for building scalable AI-powered applications.

Agentic workflows enable AI to write code, debug, and test embedded systems when equipped with proper tools and safeguards.

By using a sustainable testing strategy, you can skip unnecessary tests, ensure failing fast and early, and only run tests ...

Fabiane Nardon shares how TOTVS prepares enterprise data for token-hungry AI agents. She discusses balancing deterministic ...

LLM security testing for pentesters: map attacks to the OWASP LLM Top 10, break a vulnerable MCP server locally, and turn ...

Udacity has opened enrollment on its new AI Engineering with Claude Nanodegree, a self-paced program built around Anthropic’s ...

Microsoft added a channels system to its Agent Framework for Python, allowing the same agent or workflow to operate through MCP, A2A, OpenAI Responses clients, and Telegram.

Claude can get things done on these desktop apps without you even moving your mouse.

Anthropic Model Hardware Standard (MHS) cuts AI-to-lab-instrument integration from weeks to hours. Claude drove QuEra's ...

Senior Backend Engineer Go, AI platform. Netherlands - Amsterdam. Who We Are. Prosus is a leading global technology company, based in Europe. With ecosystems that span India, Lati ...

Six months of MCP launches show that agent access is becoming standard. The real divide is now permissions, write scope and ...

The system allows advertisers to connect their campaigns to the artificial intelligence tool of their choice and use it to ...