Agent context & exploration

This section contains internal project knowledge useful for development, AI-assisted coding, and exploration. It includes design decisions, prior art research, open questions, and an exploration log.

Unlike the rest of the docs, this section is written for contributors and AI agents rather than end users. It provides the “why” behind design choices and captures institutional knowledge that would otherwise be lost between sessions.

What’s here

• Prior art — Existing tools, research, and the history of this project
• Vision — Short and long-term goals, design principles
• Decisions — Key technical decisions and their rationale
• Open questions — Unresolved design questions
• Tradeoffs — Known tradeoffs and their justifications
• Framework landscape — Overview of compliance frameworks and their data structures
• Exploration log — Running notes from development and research sessions

For AI agents

If you’re an AI coding assistant working on this project, start here to understand context that isn’t obvious from the code alone. The .claude/ folder in the repo contains the source versions of these documents with agent-specific instructions.