Note-Taking Fundamentals for AI-Assisted Development Effective note-taking patterns for AI assistants to leave meaningful context in codebases. Philosophy When AI assistants make changes to code, they should leave breadcrumbs for future AI assistants and human developers. Notes should: - Preserve context about why decisions were made - Signal uncertainty where alternative approaches exist - Mark incomplete work that needs follow-up - Link to relevant context (issues, PRs, documentation) - Explain non-obvious patterns that might confuse readers Note Formats AI Development Notes Special comment…