Structured knowledge management for AI-augmented development
As someone who works with AI tooling daily, the volume of research, decisions, and learnings accumulates fast. This is my system for keeping it organized and actionable.
The setup:
An Obsidian vault structured around a few core areas: AI research and daily briefs, project documentation, automation scripts, and reference material. It integrates with my AI agent workflows — agents write to specific directories, and I review and organize from Obsidian.
Key patterns:
- Daily AI briefs — automated summaries of AI news and developments, generated on schedule and stored as daily notes
- Project journals — each active project has its own section with decision logs, architecture notes, and issue tracking
- Script repository — reusable automation scripts stored alongside documentation so context is never lost
- Cross-referencing — heavy use of backlinks to connect related concepts across projects and research
Why it matters: The value isn’t in the tool — it’s in having a system where everything you learn has a place to live and a way to be found later. When working across multiple AI projects simultaneously, this is the difference between compounding knowledge and constantly re-discovering things.
Stack: Obsidian, Markdown, iCloud sync