Backend team lead & architect with 10+ years experience, full‑stack engineer, sharing insights and solo development practice.
This guide walks you through building a high‑performance local AI knowledge base using Ollama, Cherry Studio, and the Qwen‑3 model, covering RAG fundamentals, model selection, document preparation, system configuration, and step‑by‑step UI operations for non‑programmers.
The author shares a hands‑on experience with Anthropic's Claude 3.7 and the Cursor AI editor, identifies key pain points of fragmented code generation, and presents a redesigned prompt that produces all HTML prototype files in a single request, complete with a reusable template, usage scenarios, and visual results.
This article shares practical experience using Cursor's AI code editor, explains the common problem of uncontrolled AI edits, and presents a structured set of Cursor Rules—including basic, three‑layer, and auto‑generated approaches—to improve code quality, reduce rejections, and streamline development workflows.
This article walks through the complete process of installing the Qwen3-30B-A3B large language model on a personal computer using LM Studio, evaluates its reasoning, creative, multilingual, and coding abilities with detailed prompts, and shares practical tips for optimizing local deployment and prompt design.
This article walks through Cursor 0.49’s new auto‑generated Project Rules feature, explains its key updates, provides step‑by‑step instructions for creating rules from chat context, showcases real‑world tests on front‑end projects, and offers practical best‑practice recommendations and cautions for developers.
This article examines the emerging Vibe Coding paradigm, exploring its origins, the AI tools that power it, why it has surged in popularity, practical strategies for adoption, and the limitations developers should consider when embracing this new workflow.
This article shows how the Cursor IDE’s built‑in AI can generate complete PlantUML code for various system diagrams—from RBAC models and login flows to payment processes, DDD layering, and C4 architecture—dramatically cutting manual drawing time and keeping documentation in sync with code.
While AI tools like Cursor, ChatGPT, and DeepSeek dramatically speed up code generation, documentation, and problem solving, the author reflects on how this reliance reshapes developers' thinking, learning habits, and core skills, offering practical strategies to balance efficiency with deep understanding.
This guide walks you through uninstalling previous IntelliJ IDEA versions, installing the JetBrains Junie AI coding assistant on IDEA 2025.1, configuring the plugin, exploring its advanced features, and applying it to real front‑end and back‑end projects, while also covering pricing and usage tips.
This guide shares a systematic, experience‑driven approach to leveraging Cursor’s AI capabilities—from project planning and codebase structuring to custom AI rules, Notepad management, version‑control integration, and advanced workflow automation—helping teams boost development speed while maintaining code quality.
