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This video by Hannah Stulberg (Part 5 of her 'Claude Code for Everything' series) provides a deep dive into CLAUDE.md and AGENTS.md files as persistent memory systems for AI coding agents. The core framework identifies four types of essential context every memory file should contain: document index, people involved, project identity, and workflows/preferences. The video explains a hierarchical folder structure with four levels—personal preferences, company context, area-specific knowledge, and project details—where higher levels should be shorter to optimize the finite 'thinking room' budget.
A critical constraint is highlighted: around 100–150 instructions spread across all CLAUDE.md files combined is the practical limit before instruction-following quality degrades. The video covers three methods for generating files (Plan Mode interview, loading existing docs, and session generation), maintenance strategies, and the @ import syntax for modular context management across projects.
This resource is ideal for PMs just starting their AI journey. It provides foundational knowledge in technical skills that will help you build a solid understanding of how AI impacts product management.
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Go to youtube.comThis guide teaches practitioners how to build effective AI prototypes through a structured, 12-step execution pipeline. Rather than creating impressiv...
This free interactive course teaches product managers how to use Claude Code—Anthropic's CLI tool—for AI-powered PM work. Uniquely, the course is taug...
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