Context is the Key to the Agentic Architecture Revolution: A Conversation with Baruch Sadogursky

This InfoQ podcast explores how context engineering differs from prompt engineering in the agentic AI era, enabling LLMs to function as reasoning machines with proper context artifacts like skills, rules, and scripts. The discussion covers how AI agents will ask clarifying questions to fully understand requirements before code generation, enabling a shift-left approach to evaluate code quality before writing. Software architects and developers interested in AI-driven development patterns will learn how microservices architecture complements these approaches given current LLM context window limitations.