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This article walks through why LangChain is the leading framework for AI agents, compares it with low‑level implementations, and provides step‑by‑step code examples for installation, prompt templates, LCEL pipelines, memory modules, RAG, custom tools, and a complete customer‑service agent, concluding with a concise feature comparison.
This article revisits the AI Agent architecture and provides a detailed analysis of its four core components—Planning, Memory, Tools, and Action—covering mainstream planning strategies, memory types, tool specifications, and execution loops, accompanied by concrete LangChain code examples that demonstrate building a fully integrated multi‑component agent.
This article explains why large language models are powerful yet limited, defines AI agents as autonomous systems that combine a model, memory, tools, and actions, details the ReAct reasoning‑and‑acting loop, provides a 30‑line Python LangChain example and a Java Spring AI implementation, and outlines five practical use‑case scenarios and the roadmap for the series.
This tutorial walks through deploying a highly available RocketMQ cluster with Docker Compose, configuring master‑slave brokers, enabling message tracing, integrating Prometheus‑Grafana monitoring, setting up Spring Boot HA properties, applying performance tweaks, validating failover, and troubleshooting common issues.
This article explains why message ordering is critical for order‑state flows, demonstrates how to use RocketMQ's ordered messaging and dead‑letter queue features in a Spring Cloud project, shows the full project structure, provides runnable code, testing steps, performance numbers, and common pitfalls.
This article demonstrates how Spring Cloud Stream provides a unified programming model that decouples business logic from the underlying message broker, allowing a single codebase to work with RocketMQ, Kafka, or RabbitMQ by only changing configuration, and walks through project structure, implementation, conditional routing, MQ switching, testing, and common pitfalls.
This tutorial explains why microservices need a message queue, outlines RocketMQ’s core concepts, shows how to set up RocketMQ with Docker Compose, integrates it into Spring Boot projects with detailed producer and consumer code, provides testing steps, and lists common pitfalls and solutions.
This article shows how to move OAuth2 client credentials out of source code into a database, add dynamic registration, multi‑tenant isolation, encrypted secret storage, login‑failure throttling, audit logging, a management REST API, and provides testing steps and common pitfalls.
This article walks through building a Spring Security resource server with OAuth2, enabling method‑level, object‑level and URL‑level permission checks using annotations like @PreAuthorize, @PostAuthorize, @PostFilter, and demonstrates configuration, utility helpers, controller examples, testing steps, best practices, and common pitfalls.
This tutorial walks through adding OAuth2 authorization‑code flow and third‑party social login (GitHub, Google, WeChat) to a Spring Security authentication server, covering architecture, project structure, configuration, code implementation, testing steps, and common pitfalls.
