#AI-assisted coding
1467 related articles
Product Reviews·3 min
Qwen Code CLI Hands-On Review: Complete Installation & Configuration Guide for Alibaba's Open-Source AI Coding Agent
Hands-on review of Alibaba's open-source Qwen Code CLI command-line coding tool, covering installation, API configuration, development experience, and comparison with Claude Code. Powered by a 480B parameter MoE model.
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Tutorials·3 min
Gemini CLI Installation & Usage Guide: Free Access to Gemini 3 Pro for Coding
Complete guide to installing and using Gemini CLI with Gemini 3 Pro for AI-powered coding. Covers Node.js setup, Google account login, model switching, and generating code with natural language.
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Product Reviews·3 min
Open Design: A Local-First Open Source Alternative to Claude Design with 40K+ GitHub Stars
Open Design is a local-first open source AI design tool with 40K+ GitHub Stars, featuring 19 design skills, 71 brand-grade design systems, and compatibility with 9+ AI tools including Claude Code and Cursor.
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Product Reviews·3 min
Cursor Editor In-Depth Review: The AI Coding Tool with 30K+ GitHub Stars
In-depth analysis of Cursor AI code editor's core features, architecture, and real-world experience. Learn how this 30K+ Star GitHub tool boosts coding efficiency 30%-50% through intelligent code generation, full-project context understanding, and multi-model support.
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Product Reviews·3 min
Google AI Studio 2.0 Deep Dive: Hands-On with the Free Full-Stack Coding Tool
Deep dive into Google AI Studio 2.0's new Build Mode and Agentic Mode. Hands-on testing of CRM systems, multiplayer games, Firebase integration, Gemini models, and Stitch workflow — all completely free.
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Product Reviews·4 min
Claude Code In-Depth Review: Installation, Configuration & Comparison with Cursor and TRAE
In-depth analysis of Claude Code's core advantages including full-project context understanding, code generation accuracy comparison, and automated debugging, plus detailed installation guide and comparison with Cursor, TRAE, and Codex.
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Product Reviews·3 min
PaiAgent: A Lightweight AI Workflow Orchestration System Built with Vibe Coding
Deep dive into PaiAgent, a lightweight AI workflow orchestration system built with Spring AI and LangGraph4J. Explore its DAG engine design, differentiation from Dify/n8n, and Vibe Coding development insights.
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Product Reviews·4 min
Cursor 1.0 Released: BugBot Code Review Hands-On & Comparison of Three AI Review Tools
Deep dive into Cursor 1.0's BugBot AI code review feature, with a side-by-side comparison of BugBot, Gemini Code Assist, and CodeRabbit covering pricing, scope, and speed.
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Product Reviews·3 min
Codex Tutorial: Why Frontend Developers Prefer It Over Claude Code and Cursor
Compare Codex, Claude Code, and Cursor on pricing, stability, and real-world use. Learn why frontend developers prefer Codex and how to choose the right AI coding tool.
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Product Reviews·3 min
Cursor 1.0 In-Depth Review: MCP Integration, BugBot, and Background Agent Hands-On Experience
Hands-on review of Cursor 1.0: testing one-click MCP integration, BugBot code review, and Background Agent. Includes pricing analysis and real usage limitations.
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Tutorials·3 min
Cursor + CodeRabbit in Practice: A Complete Guide to AI-Powered Automated Code Review
Learn how to integrate CodeRabbit into Cursor for AI-powered automated code review. Covers prompt design, incremental review, auto-fix, and the complete generate-review-fix pipeline in one command.
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Tutorials·3 min
Superpowers in Practice: Making AI Coding Follow Software Engineering Standards
Learn how Superpowers solves five major AI coding problems through a standardized seven-step workflow. Practical Vue3 comparison shows dramatic code quality improvements.
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Tutorials·3 min
TONGYI Lingma + EasyClick Configuration Tutorial: A Practical Guide to AI-Powered Automated Programming
Complete guide to configuring TONGYI Lingma with EasyClick (EC): plugin installation, RAG document deployment, agent import, and slash commands for AI-powered automated programming.
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Tutorials·3 min
Godot AI Plugin Setup Guide: Using MCP Protocol to Let AI Directly Control the Game Engine
A complete guide to installing and configuring the Godot AI plugin. Use MCP protocol to let Claude and Codex create scenes, run tests, and debug with screenshots — build a 3D platformer in 10 minutes.
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Product Reviews·3 min
Claude Haiku 4.5 Real-World Test: Fast but Outclassed in Value by GPT-5 Mini
Real-world comparison of Claude Haiku 4.5 vs GPT-5 Mini and GLM 4.6 on speed, code quality, and price. Haiku 4.5 beats Sonnet 4 by one minute but costs 4x more than GPT-5 Mini with 9 points lower coding scores.
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Tutorials·4 min
Vibe Coding Practical Guide: SDD (Specification-Driven Development) Reshaping Full-Stack Programming Workflows
In-depth analysis of SDD (Specification-Driven Development), the core methodology of Vibe Coding in 2025, covering the full workflow from requirements to deployment with tools like Claude Code.
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Product Reviews·3 min
Claude 4.5 Haiku Real-World Testing Disaster: Coding Capabilities Collapse Across the Board, Crushed by Competitors on Value
Independent testing reveals Claude 4.5 Haiku fails dramatically in SVG generation, 3D rendering, and agentic coding. Compared to GPT-5 Mini and GLM 4.6, its value proposition collapses completely.
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Product Reviews·2 min
Claude Haiku 4.5 In-Depth Review: One-Third the Cost, Coding Performance Rivaling Sonnet 4
Anthropic releases Claude Haiku 4.5: coding rivaling Sonnet 4 at 1/3 the cost and 2x speed. A dev built browser-based macOS for just 28 cents, redefining small AI model capabilities.
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Tech Frontiers·2 min
Claude Haiku 4.5 Released: Double the Speed at One-Third the Price, Setting a New Cost-Efficiency Benchmark for AI Coding
Anthropic releases Claude Haiku 4.5, a distilled version of Sonnet 4.5 with near-flagship coding performance, double the speed, and one-third the cost. Scores 73.3 on SWE-Bench, ideal for developers seeking cost-efficiency.
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Expert Opinions·3 min
Vibe Coding Crashes and Burns After Seven Months: 234 Commits Archived, Rewriting Everything from Scratch
A developer Vibe Coded with AI for 7 months, made 234 commits and 1,690 lines of code, then the project collapsed. Five hard lessons reveal AI's true limits: it builds features, not architecture.
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