This is the sixth article in a series on agentic engineering and AI-driven development. Read part one  here , part two  here , part three  here , part four  here , and part five here . I think context management is one of the most important skills in AI-driven development, and it’s weird that compared to other AI-related topics, almost nobody talks about it. We talk about prompt engineering, about which model to use, about agentic workflows and tool use. But more than anything else, the thing that actually determines whether your AI session produces good work or mediocre work is how well you manage context (or if you even do it at all!). A lot of developers using AI tools treat all this “context” talk as AI jargon that can be dismissed, and it’s not hard to understand why.…