Files
research.ai-dev-principles/CLAUDE.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

29 lines
1020 B
Markdown

# AI Dev Principles — Project Instructions
## What is this
A living collection of principles for building software with AI agents. Extracted from real multi-project work, not theorized. Each principle has an origin story.
## Content Rules
- Every principle must come from real experience (observed pattern, correction, or confirmed approach)
- Include **Origin** where possible — what happened that led to this principle
- No aspirational fluff — if it's not practiced, it doesn't belong here
- Principles can evolve or be retired — mark deprecated ones rather than deleting
## Structure
- `README.md` — The principles document (canonical, numbered, grouped by theme)
- `docs/examples/` — Concrete examples and case studies for select principles
- `docs/status.md` — Session log
## Language
- English for everything (these principles are language-independent)
## Commits
- `feat:` for new principles
- `docs:` for examples, refinements, rewordings
- `fix:` for corrections to existing principles