appendix B Step-by-step AI-assisted policy authoring
This appendix provides a hands-on, step-by-step walkthrough for using AI-assisted development tools to help author and review authorization policies. It is intended to be used alongside a code editor, following the examples in the companion repository as you read.
This appendix focuses on how to apply AI assistance in practice. It does not explain in detail why AI can be useful for policy authoring or what role authorization plays in AI-enabled systems. Those topics are covered in chapter 17. It also does not introduce Cedar syntax or policy fundamentals, which were covered earlier in the book.
Read this appendix with the companion repository open in an AI-enabled editor such as Cursor. The steps are designed to be followed in order, with short pauses to interact with the tools and review results.
Note The examples in this appendix use Cursor and the GitHub repository acme-cedar-ai-authoring (https://github.com/windley/acme-cedar-ai-authoring).
B.1 Why AI assistance is useful in policy authoring
Authorization policies encode intent in a form that must be precise, unambiguous, and deterministic. Translating business intent into executable policy is often difficult and error-prone, particularly as policies grow in number and complexity.