Former senior tech manager at Meituan, ex‑tech director at New Oriental, with experience at JD.com and Qunar; specializes in Java interview coaching and regularly shares hardcore technical content. Runs a video channel of the same name.
This tutorial walks you through installing Cherry Studio, configuring Baidu and Amap MCP servers with JSON settings, obtaining the required API keys, and using the built‑in AI model to perform route planning, all without writing a single line of code.
MCP, a protocol from Anbhropic, standardizes how large language models communicate with external tools, databases, and APIs through a client‑server architecture, offering three communication modes (Stdio, HTTP with SSE, Streamable HTTP) and enabling use cases such as intelligent analytics, knowledge hubs, AI chatbots, BPM, API integration, automated testing, and programming assistance.
This article introduces Spring AI, explains its relationship to Spring Boot, outlines support for major AI model providers and capabilities, and provides step‑by‑step code examples for a chatbot, conversational memory, and prompt engineering, while highlighting version pitfalls and future extensions.
This article explains the CAP and BASE theorems, compares consistency, availability and partition tolerance, and analyzes how MySQL replication modes, Redis Cluster, and Elasticsearch clusters fit into CP, AP or BASE models to help you choose the appropriate consistency strategy for distributed systems.
This article explains how the volatile keyword guarantees visibility of shared variables and prevents instruction reordering in Java, covering the Java Memory Model, memory barriers, practical code examples, and the Happens‑Before principle for reliable multithreaded programming.
This article provides a comprehensive overview of MySQL master‑slave replication, explaining its core mechanisms, the push‑pull hybrid model, replication modes (asynchronous, full‑sync, semi‑sync), binlog formats, and practical strategies to reduce replication lag caused by large transactions, server load, and network constraints.
This article examines eight typical situations that cause MySQL indexes to become ineffective—such as violating the leftmost‑prefix rule, leading‑wildcard LIKE patterns, OR conditions, functions, calculations, implicit type conversions, large result sets, and mismatched ORDER BY directions—providing SQL examples, execution‑plan screenshots, and practical explanations.
The article explains how rule engines extract volatile business decisions from application code, using a configurable UI to let operators modify rules without code changes, and compares popular Java rule‑engine solutions with concrete examples and implementation snippets.
This article examines common interview scenarios involving distributed locks, explains why they are often misused, outlines their proper use cases such as rate limiting, ensuring data consistency, and achieving ordered processing, and compares distributed locks with distributed transactions.
This article examines the challenges of high‑concurrency write scenarios in ad‑billing systems, explains why row‑level locking becomes a bottleneck, and presents a step‑by‑step solution using Kafka for asynchronous peak shaving, parallel consumer processing, database sharding, hotspot dispersion, and batch deduction to achieve reliable real‑time balance updates.
