A tinkering programmer and author of "Spring Cloud Microservices in Action"
This article compares three classic real‑time web technologies—Server‑Sent Events, WebSocket, and Long Polling—explaining their principles, Spring Boot implementations, advantages, disadvantages, and suitable scenarios to help developers select the optimal solution for live data updates.
After caching, indexing, and async optimizations still leave a Spring Boot REST API sluggish, this guide shows how fine‑tuning JVM options—such as enabling G1GC, adjusting pause targets, compressing class metadata, shrinking thread stacks, and pre‑touching memory—can triple response speed without changing application code.
This article chronicles how a developer transformed the TransDuck audio‑video SaaS tool into a native desktop application using Tauri, Vue, and ffmpeg, while leveraging the AI‑driven CodeBuddy extension to automate project scaffolding, code generation, error fixing, and UI refinement, cutting development time from days to a few hours.
PocketBase is a lightweight, Go‑based open‑source backend that bundles a real‑time SQLite database, user management, file storage, and a visual admin panel into a single executable, offering fast deployment, extensible APIs, and easy Docker or binary installation for small‑to‑medium projects.
Qwen3, Alibaba’s latest open‑source large language model, introduces a pioneering mixed‑inference architecture that blends top‑tier reasoning and non‑reasoning capabilities, delivering record‑breaking benchmark scores, multilingual support for 119 languages, cost‑effective deployment, and a 128K context window, now accessible via Ollama and OpenRouter.
This article explains the MCP and A2A communication protocols, compares their purposes, and explores how they can be combined to build multi‑agent AI systems with coordinated task management, tool integration, and security safeguards.
Java 24 arrived in March 2025 with a slew of preview features and performance tweaks, yet most production teams should ignore it and wait for the September Java 25 LTS release, which stabilizes these innovations for enterprise use.
This article demonstrates how to implement the Model Context Protocol (MCP) using Spring AI, covering the creation of MCP hosts, clients, and servers, configuring dependencies, integrating Claude, adding Brave Search and filesystem tools, and building a functional chatbot that leverages external data sources through standardized LLM interfaces.
The QwQ-32B model, released by Alibaba Cloud, delivers DeepSeek‑R1‑level results with only 32 billion parameters, offers integrated agent capabilities, is open‑source under Apache 2.0, and can be quickly deployed locally via Ollama or integrated into Java applications using Spring AI.
This guide shows how to obtain a free API key from Tencent Cloud's Knowledge Engine, configure OpenAI SDK or a chat client, and call the full‑size 671B DeepSeek‑R1 model without local hardware constraints, with step‑by‑step instructions and sample code.
