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This article provides a comprehensive overview of Go's powerful GORM ORM library, covering its core concepts, architecture, internal logic, common pitfalls, practical tips, and advanced features such as soft deletes, transaction handling, batch operations, and integration with trpc-go, helping developers master GORM's inner workings.
This article examines the core challenges of multi‑channel integration, high concurrency, reliability, and extensibility, then walks through a full‑link push workflow and presents a four‑layer architecture—including access, business, service, and storage layers—to guide the design of a robust, scalable enterprise message‑push platform.
This article explains the core concept of software architecture as elements, structure, and connections, distinguishes systems, subsystems, modules, components and frameworks, compares architecture classifications, describes the evolution from monolithic to distributed and microservice designs, presents fifteen practical design principles, and warns about six typical architectural pitfalls.
This article explains how recommendation systems work, distinguishes online services from offline computation, outlines a typical recommendation flow, and presents a three‑stage evolution (1.0, 2.0, 3.0) with design principles for stability, observability, and efficiency, culminating in a DAG‑based orchestration and traceable execution.
This article explains how mastering business modeling, requirements analysis, and UML techniques—rather than focusing solely on code—helps developers create software that truly solves real business problems and drives profit, using lessons from the classic book “Software Method”.
This article explains the fundamentals of large language models, covering transformer self‑attention, prompt engineering, API usage with temperature and tool parameters, function calling, agent architectures, the Model Context Protocol (MCP), Agent‑to‑Agent (A2A) communication, and future AI programming roles.
This comprehensive guide shows how development teams can adopt the AI coding assistant CodeBuddy to streamline every stage of the software lifecycle—from diagnosing workflows and selecting tools to automating design, coding, testing, deployment, and continuous improvement—delivering measurable productivity gains and higher code quality.
This article explains the fundamentals of financial reconciliation, outlines the two‑step reconciliation process, and details a streaming reconciliation architecture capable of handling 30 billion USD per hour (≈27 777 TPS) with high concurrency, distributed parsing, and efficient result aggregation.
This article dissects the end‑to‑end payment workflow, identifies performance, reliability and data‑consistency bottlenecks across order creation, risk assessment, routing, settlement and payout stages, and presents concrete architectural patterns, code snippets and monitoring strategies to achieve sub‑second latency and 99.99% availability under massive traffic spikes.
This comprehensive guide explains when to use AI agents, presents core design patterns such as prompt chains, routing, parallelization, orchestrator‑worker and eval‑optimize loops, and offers concrete implementation advice and tool‑prompt engineering techniques for building reliable, high‑quality agent systems.
