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Free PDF/The AI-Native Canon

The AI-Native SDLC

What software development looks like when the machine writes it

A book by Alpesh Nakrani

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Pages
94
Chapters
10
Format
PDF · 14.3 MB
01/Overview

What's in the book

Version control, review, and testing were designed for human authors. Rebuilding the development lifecycle around a machine that does the writing.

EngineeringAI-Native
02/Inside the PDF

Table of contents

PDF page
  1. FMFront Matter: The AI-Native SDLC
  2. 01The Generated PR That Passed9
  3. 02Specs, Prompts, and Provenance as Lifecycle Artifacts17
  4. 03The ACCEPT Loop25
  5. 04Risk-Classifying Generated Diffs33
  6. 05AI-Native CI41
  7. 06Human Review When the Author Is a Model49
  8. 07Agent Permissions, Sandboxes, and Supply Chain Trust57
  9. 08Testing Behavior, Not Just Code Paths64
  10. 09Release, Observability, Rollback, and Incident Learning72
  11. 10The Operating Playbook80
  12. ENDConclusion: Closing Note88

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