A comprehensive platform that combines Java development and architecture design, guaranteeing 100% original content. We explore the essence and philosophy of architecture and provide professional technical articles for aspiring architects.
This article compares six leading open‑source PDF‑to‑Markdown converters, detailing their architectures, core features, suitable use cases, and pros and cons to help developers quickly choose the most appropriate tool for their documentation workflows.
This guide explains how to adapt a distributed micro‑service architecture to run all SpringBoot services inside one external Tomcat instance by changing packaging to WAR, configuring server.xml, setting memory options, adjusting virtual addresses, handling logs, and registering services with Nacos for low‑memory environments.
This article introduces the fundamentals of system thinking, explains the basic structure of systems, how they change through stock‑flow dynamics and feedback loops, and highlights the crucial characteristic of feedback delay, guiding readers from novice to entry‑level practitioner.
This article examines the evolving role of the AI engineer, contrasting it with AI researchers, ML engineers, and software engineers, outlines essential skills such as prompt engineering, MLOps, and data integration, and predicts how AI engineering will become a pivotal, high‑demand discipline in the coming years.
Anthropic’s Model Context Protocol (MCP) offers a standardized way for AI agents to access and manage external data, tools, and memory, enabling clearer control separation, modular architecture evolution, and scalable enterprise deployments, with a roadmap emphasizing cloud‑native features and advanced agentic workflows.
Google’s newly released Agent2Agent (A2A) protocol and Anthropic’s Model Context Protocol (MCP) are examined side‑by‑side, outlining their purposes, complementary features, potential competition, and how they together shape the future of multi‑agent systems, security, task management, and integration with legacy data sources.
This article provides a comprehensive comparison of seven popular large‑language‑model inference engines—Transformers, vLLM, Llama.cpp, SGLang, MLX, Ollama and others—detailing their core features, performance characteristics, hardware compatibility, concurrency support, and ideal use‑cases, plus practical installation guidance for Xinference.
This guide walks you through cross‑platform environment variable configuration, Docker containerization, GPU resource strategies, concurrency tuning, and security hardening for Ollama, providing practical code snippets and best‑practice tables to unleash its full potential in development and production.
This article explains how detailed design documentation, the distinction between strategic and tactical design, and the CRC (Class‑Responsibility‑Collaborator) method together form a flexible, evolving blueprint that guides development without over‑prescribing implementation details.
This step‑by‑step guide explains how to deploy a 1Panel MCP Server using Docker, enable SSE mode, and integrate it into Dify via the Agent strategy plugin, covering required configurations, common pitfalls, and testing procedures.
