A practical guide to building AI-native systems, using the OpenClaw platform as a living case study. 14 chapters, 42 diagrams, 88,000+ words.
This book documents AI-native development patterns by using those exact patterns to create itself — 5 parallel AI agents wrote 88,000+ words in under 5 hours. See how it was built.
- Complete Manuscript — single file, all chapters + diagrams
- Chapter Index — individual chapters for browsing
| Chapters |
|---|
| Part I: Foundations |
| 1. Foundations of AI-Native Development |
| 2. The OpenClaw Ecosystem |
| 3. Case Studies in AI-Native Development |
| Part II: Core Patterns |
| 4. The Soul.md Pattern |
| 5. Multi-Agent Orchestration |
| 6. File Coordination and Memory |
| Part III: Operations |
| 7. Cron and Scheduled Automation |
| 8. Autonomous Systems Design |
| 9. Cost Optimization |
| Part IV: Security & Future |
| 10. Debugging AI-Native Systems |
| 11. Security Patterns |
| 12. The Future of AI-Native Development |
| Part V: Tools & Community |
| 13. Tooling Ecosystem |
| 14. Education and Community |
book/ Final manuscripts (markdown + HTML)
chapters/ Individual chapter source files
diagrams/ 42 Mermaid diagrams (SVG, PNG, source)
project-notes/ How this book was built (agent configs, worklogs)
research/ Background research and analysis
scripts/ Build and conversion scripts
CC BY-NC-SA 4.0 — share and adapt with attribution, non-commercial, same license.
@book{openclaw2026paradigm,
title = {The OpenClaw Paradigm: AI-Native Development in Practice},
author = {{OpenClaw Community}},
year = {2026},
url = {https://github.com/chunhualiao/openclaw-paradigm-book},
license = {CC BY-NC-SA 4.0}
}