First‑line development experience at multiple leading tech firms; now a software architect at a Shanghai state‑owned enterprise and founder of Programming Yanxuan. Nearly 300k followers online; expertise in distributed system design, AIGC application development, and quantitative finance investing.
This article explains how to choose between fine‑grained and coarse‑grained resource designs in REST APIs, illustrating trade‑offs with blog‑post examples, showing how to model business processes as intent resources, and discussing the impact of avoiding PUT in favor of CQRS.
LangGraph Studio is a new visual IDE that simplifies the development, debugging, and interactive iteration of complex LLM‑based agent applications, offering features such as graph visualization, real‑time state inspection, code‑aware debugging, and seamless integration with LangSmith, with step‑by‑step guidance for desktop users.
This article explains how to use a token‑bucket rate limiter, such as the one provided by Resilience4j, to keep event‑driven microservices within the request/response API traffic limits, detailing the underlying problem, integration steps, code example, and practical considerations.
This article explains why tightly coupled request/response communication can overload downstream services, introduces the circuit‑breaker pattern (including its three‑state state machine), and shows step‑by‑step how to integrate a circuit breaker into event‑driven microservices to pause event retrieval, handle state transitions, and avoid dead‑letter queues.
This article explains how an event‑center abstracts domain events, offers a clear architecture and powerful features, compares it with raw message‑queue solutions, and provides Java code examples to help backend engineers adopt a more maintainable, decoupled design.
This article introduces LangGraph, a Python library for creating stateful, multi‑agent LLM workflows, explains its loop, persistence, and human‑in‑the‑loop features, shows how to install it, and provides a complete code example that builds, runs, and reuses a searchable AI agent with thread‑level state saving.
IntelliJ IDEA 2024.2 introduces a suite of enhancements—including in‑IDE Spring Data JPA execution, smarter cron expression handling, GraalJS‑powered HTTP client, faster startup, improved code completion, new UI defaults, advanced Scala support, Markdown math rendering, and focused profiling—to boost developer productivity across Java and other languages.
This article explains why out‑of‑order events cause delayed data in Flink, outlines their impact on computation accuracy and timeliness, identifies root causes such as network latency and watermark misconfiguration, and provides concrete watermark settings, allowed lateness, and step‑by‑step window‑triggering procedures with examples.
This guide explains why you should design your own logo, walks through using vector software, highlights free open‑source illustration sites, discusses paid royalty‑free assets, and shows practical ways to customize and combine resources to produce a unique brand identity without hiring a designer.
This article outlines an architect's thinking model, a step‑by‑step requirement analysis, core design principles for a risk engine—including efficient rule composition, operational support, unified SDK integration, and an event ingestion center—and presents business, application, data, and technical architecture diagrams to illustrate the complete system.
