Presentation: The Right 300 Tokens Beat 100k Noisy Ones: The Architecture of Context Engineering
InfoQ AI, ML and Data Engineering1mo4 min read
Baruch Sadogursky and Patrick Debois discuss why coding agents fail due to bloated context windows and stuffed prompts. They explain practical context engineering fixes, including lazy-loaded skills, versioned context artifacts, externalized memory banks, and LLM-as-a-judge evals. Software architects & engineering leaders will learn how to turn raw markdown files into reliable agentic workflows. By Patrick Debois, Baruch Sadogursky
