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Numbat is an open-source AI Agent security detection and response tool supporting cross-framework deployment with Agent behavior visibility and pre-execution interception capabilities.

Deep dive into how the Inbox Pattern solves duplicate message processing in distributed systems, covering core principles, MassTransit implementation, alternatives comparison, and practical selection guidance.

Deep dive into the Inbox Pattern for solving duplicate message processing in distributed systems, covering core principles, MassTransit implementation, alternatives comparison, and selection guidance.

A deep engineering analysis of Agent internals: how LLMs decompose tasks via tool calling, why context compression and memory are essential, and why solo developers should avoid heavy frameworks.

Spring AI 2.0 brings five core updates: mandatory upgrade to Spring Boot 4, Tools parsing moving up, a built-in Agentic mechanism, MCP switching to Streamable HTTP, and an on-demand tool Advisor.

Spring AI 2.0 brings five core updates: mandatory Spring Boot 4 upgrade, Tools parsing moved up, built-in Agentic mechanism, MCP switch to Streamable HTTP, and on-demand tool-loading Advisor.

Spring AI 2.0 brings five core updates: mandatory upgrade to Spring Boot 4, lifted Tools parsing, built-in Agentic mechanism, MCP switch to Streamable HTTP, and an on-demand tool-loading Advisor.

AI coding tools are changing development, but Vibe Coding hides risks in code quality and maintenance. This article explores Engineered AI Programming, compares Codex and Claude Code, and reveals real enterprise development paths.

Through the practical case of the message-scroller component, this article delves into applying the Single Responsibility Principle in front-end component design—how to abstract scrolling logic independently and balance cost with long-term returns.

A complete Spring AI 2.0 guide for Java developers covering unified API abstraction, RAG, tool calling, MCP protocol, and enterprise projects to build AI Agents.

Pure frontend roles are shrinking fast. Learn how mastering NestJS and LangChain AI agent development can unlock a 20–30% salary boost on your full-stack AI transition path.

Deep dive into LangChain's core Model and Agent concepts, covering unified model interfaces, agent tool calling, middleware mechanisms, and key principles for building LLM applications.

A detailed guide to building a Java Web hotel room management system, covering room CRUD, reservation & check-in, billing, data visualization, and more.

In-depth comparison of Spring AI and LangChain4j — two major Java AI frameworks — covering core features, completeness, ecosystem support, and usability to help Java developers make the right choice.

Learn how AI Agent middleware works through two practical examples — logging and security checks. Master the Observer and Guardian design patterns to build extensible, production-grade Agents.

A complete Pi Coding Agent configuration guide refined over two months, covering custom tools, sub-agents, persistent memory, security, and skill systems.
TutorialsA systematic guide to Spring Framework 6 covering IOC, AOP, declarative transactions, and Spring AOT native compilation, with a complete learning path from beginner to expert.
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