This article presents a comprehensive mock‑data tool for front‑end/back‑end separation that solves request interception, flexible rule matching, business‑semantic data generation via AI, and team‑wide sharing, detailing its architecture, core implementations, code snippets, usage workflow, and future roadmap.
This guide shows how to integrate the Drools rule engine into a Spring Boot application to calculate e‑commerce discounts dynamically, covering Maven dependencies, configuration, model definitions, DRL rule creation, service and controller layers, and a simple test scenario demonstrating rule‑driven discount computation.
This article explains how to refactor a simple if‑else based user‑application rule check into a modular Java rule engine that supports AND/OR short‑circuit evaluation, detailing the design, abstract and concrete rule classes, a fluent service builder, and a test example.
This article explains the concepts, scenario challenges, functional features, third‑party integration, rule‑engine design, and big‑data handling strategies behind a scalable online checkout system, providing a comprehensive view of its backend architecture and implementation.
