Reading map
| Part | Chapters | What you will produce |
|---|---|---|
| Understand AI | 1–4 | Evidence annotation, context comparison, engineering brief, verified workbench record |
| Git and GitHub | 5–7 | Meaningful commits, private synchronization, reproduction and recovery evidence |
| Project context and skills | 8–11 | Useful README, sourced project records, tested instructions, focused skill |
| Apply the workflow | 12–15 | Interface constraints, incremental firmware, diagnosis, tests and validation limits |
| Make it your own | 16–18 | Reusable toolkit, capstone evidence bundle, maintenance and transfer plan |
The full generated table of contents and PDF bookmarks follow the assembled chapter order. The appendices are task references rather than additional prerequisites: consult the appendix index when a specific interruption arises.