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research.ai-dev-principles/docs/status.md
Christian Nennemann 048eab3624 feat: initial 24 principles extracted from real multi-project AI dev work
Grouped into 7 themes: Architecture & Design, Cost & Efficiency,
Execution & Error Handling, Autonomy & Agents, Documentation,
Capture & Learning, Content Production.

Each principle grounded in observed patterns, not theory.
2026-03-31 15:29:46 +00:00

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# Status Log
## 2026-03-31 — Project Created
### Completed
- Extracted 24 principles from workspace configs, memory files, CLAUDE.md files, and observed patterns
- Grouped into 7 themes: Architecture, Cost, Execution, Autonomy, Documentation, Capture, Content
- Each principle grounded in real usage, not theory
### Sources Mined
- Global CLAUDE.md (user instructions)
- Workspace CLAUDE.md (autonomous agent rules)
- 12 memory files (feedback, projects, user context)
- Project-specific CLAUDE.md files (claudine, affordance, 3sets)
- control-center.md, agent-handbook.md
- Colette virtual publisher plans
### What's Next
- Add concrete examples for key principles (docs/examples/)
- Cross-reference with industry patterns (12-factor app, etc.)
- Consider blog post or talk format
- Keep extracting from ongoing sessions