c/research.ai-dev-principles

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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

828 B

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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