AI-CDD: Customers request features in natural language, and AI matches or implements them
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A method called AI Customer-Driven Development (AI-CDD) has been proposed: customers submit feature requests in natural language, and AI determines whether the feature already exists. If it does, a public toggle is simply turned on; if it does not, after manual review by product management, it is handed to AI agents to implement, review, test, and generate documentation, and deployed behind a public toggle. The method claims this can avoid application feature bloat. Because the configuration combinations of feature toggles grow exponentially, testing will prioritize the configurations customers actually use and be incorporated into the CI/CD pipeline.
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- Hacker News AIAI Customer Driven Development
Dr. Navraj Chohan proposes AI Customer-Driven Development (AI-CDD), a methodology where customers request capabilities in natural language, AI discovers or proposes them, human-governed engineering agents implement approved changes, and configuration-aware testing and telemetry govern product evolution. Existing features can be enabled via public toggles or found through embedding and vector search, while new requests go to product management for human review before AI agents implement, review, test, and document the feature behind a public toggle. Because the resulting configurations are exponential, AI would generate end-to-end tests for the configurations customers actually use and add them to the CI/CD pipeline.
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