AI can change the cost of producing code without removing the cost of understanding, verifying and operating the resulting system. This developing guide brings together 3 articles.
The useful unit of analysis is a working, maintainable system, not the volume of generated code.
Generated code still needs review, tests and a clear understanding of its contracts.
AI can produce an implementation in hours. If its author cannot explain the decisions behind it, the real engineering work has not disappeared — it has moved to the reviewer.
A short guide to preserving resource models, HTTP behaviour, error handling, authorization, security, and contract decisions in prompts, reviews, and delivery checks when building REST APIs with AI.
Lower implementation cost can make neglected technical work worth revisiting.
Tools matter when they fit a reliable team delivery process.
Articles in this part of the guide are being prepared.
