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This article explains why asset‑loss (资损) prevention is critical for high‑value e‑commerce finance, outlines a step‑by‑step methodology covering pre‑, in‑ and post‑incident stages, rule discovery, measurement, implementation options, and operational best practices, and shares concrete results and visual diagrams.
This article walks through the fundamentals of large language models, their stateless and structured-output nature, explains how Spring‑AI provides a Java‑friendly API for model integration, covers RAG architecture, the MCP protocol, and demonstrates end‑to‑end code examples for building intelligent agents.
This article examines the shortcomings of the previous Cursor IDE rule set, introduces a three‑layer architecture for AI‑assisted coding, defines a standardized rule format and execution protocol, and provides best‑practice guidelines and phased rollout plans to ensure consistent, high‑quality code generation.
This article explores a supply‑chain consistency framework that tackles distributed transaction challenges by using eventual consistency, detailing its theoretical models, architecture, core components, async execution, retry mechanisms, and a practical code example for Spring‑Boot applications.
This article explores how DeWu's community activity platform evolved from ad‑hoc implementations to a componentized, event‑driven backend using OOP principles, modular design, rule engines, and observer‑hook mechanisms, while also outlining future AI‑driven optimizations and system‑wide standardization.
This article examines the current low self‑testing rates in the frontend team, explains why automated quality‑assurance techniques like code coverage and E2E testing are essential, outlines a comprehensive technical and operational plan—including tooling, rollout, metrics, and future road‑maps—to boost R&D self‑testing ratios and overall delivery quality.
This article details how replacing Java's native double parsing with the Ryu and FastFloat algorithms, alongside JVM GC tuning, dramatically reduces CPU usage and latency in backend services, offering practical code examples, benchmark results, and actionable optimization strategies.
This article explains how to transform a FastAPI service into an MCP‑compatible tool, enabling AI agents to automatically orchestrate multi‑step test data creation, covering installation, project structure, code annotations, tool configuration, and practical integration with the Cursor platform.
The article examines the drawbacks of writing raw CSS, explains how preprocessors, naming conventions, modular approaches, CSS‑in‑JS, and atomic‑CSS frameworks like Tailwind and UnoCSS address redundancy, maintenance, and scalability, and provides best‑practice recommendations for modern front‑end development.
This article presents a comprehensive AI-driven solution for automatically generating functional test cases, detailing the AI background, design scheme, core components such as PRD parsing, test‑point generation, test‑case creation, knowledge‑base construction, implementation results, and future development directions.
