methodologies/composition-smart-product-recommendations overview

Smart product-recommendations composition (methodology backlog Example 1): an AI-powered recommendations engine delivered by composing Domain-Driven Design (bounded contexts + ubiquitous language for the catalog/shopper domain) -> Hypothesis-Driven Development (measurable uplift hypotheses + measurement plans) -> BDD / Specification by Example (executable recommendation-behavior scenarios, authored in parallel per bounded context) -> Kanban (WIP-limited implementation flow). An adversarial executed-evidence gate sits at every methodology seam, and two policy-gated routed breakpoints guard the live experiment launch and the production rollout. kip recalls prior composition lessons at the start and asserts seam-design outcomes at the end.