Backend team lead & architect with 10+ years experience, full‑stack engineer, sharing insights and solo development practice.
This article walks through Google Antigravity, an agent‑first AI‑driven IDE, detailing its architecture, multi‑model support, artifact system, manager view, installation steps, and practical demos that generate UI prototypes and a full corporate website using tailored prompts and code snippets.
After three months of using the free Gemini CLI, this guide explains why the tool is valuable, shows how to install and enable the Gemini‑3‑Pro model, and provides practical tips such as resetting daily quotas, switching models, managing rules, adding context, and configuring MCP tools.
This article explains why WeChat Mini Programs hit the 2 MB package limit, analyzes common causes of oversized main bundles, and provides a step‑by‑step guide—including pre‑slimming tactics, subpackage configuration, code examples, and performance tips—to reduce the main package below the limit and improve load speed.
This guide walks you through every stage of registering, authenticating, and filing a WeChat Mini Program for an enterprise, covering account setup, verification methods, certification fees, filing documentation, MIIT SMS verification, and common pitfalls to avoid.
This article shares a hands‑on comparison of three AI‑powered IDEs—Cursor, Qoder, and Trae—detailing their features, pricing models, token or credit limits, practical usage tips, and performance differences to help developers choose the right tool for enterprise‑level coding.
This article walks through installing and configuring vLLM for local large language model inference, compares it with Ollama and LM Studio, details environment setup, model download, testing scripts, and shows how to expose an OpenAI‑compatible API for production use.
This article evaluates OpenAI's GPT‑5 model—released in August 2025—by comparing its benchmark performance, context length, and pricing, then testing its front‑end code generation capabilities through two real‑world projects, an iOS‑style weather card and a Pilates booking app prototype.
This article explains how Cursor’s Agent mode uses intelligent planning to automatically break down complex development requirements into manageable To‑Do items, covering its key features, setup prerequisites, practical usage examples, prompt formatting tips, and a brief comparison with other AI‑assisted coding tools.
This article explains the key improvements of Qwen3‑Coder, walks through two local deployment methods (LM Studio and Ollama), showcases front‑end coding examples, compares performance and hardware requirements, and offers practical recommendations for developers seeking an on‑premise AI coding assistant.
This article analyzes common pitfalls when using Cursor AI—such as ineffective rules, token waste, maintenance challenges, unstable output, and style disruption—and presents the MSEC theory with four concrete principles, rule types, and practical guidelines to build a robust, maintainable rule system for AI‑assisted coding.
