282 related articles
Kiro vs Cursor Hands-On: Can Amazon's …
Hands-on comparison of Amazon's Kiro vs Cursor on the same coding task, analyzing UI quality, feature completeness, and code quality to reveal the real gap.
How to Choose an AI Coding Tool? Stop …
How should developers rationally choose AI coding tools amid constant model updates? This article analyzes the pitfalls of chasing the latest, compares tools like Cursor and Kiro, and offers a cost-effective, stable AI-assisted coding strategy.
Codex Team Reveals a New AI Programmin…
OpenAI's Codex team shows AI programming now prioritizes organizational skills over coding. Learn the four paradigm shift signals, efficient workflows, and how developer roles are being reshaped.
Superpowers vs GStack In-Depth Compari…
In-depth comparison of Claude Code's top open-source plugins Superpowers and GStack — their skills, workflows, and use cases to help developers choose the best AI coding assistant setup.
Expert OpinionsAI-assisted programming has shifted from novelty to default. Over 70% of developers use AI coding tools daily. This article explores survival rules for developers in the new AI programming era.
Five Core Capabilities of GitHub Copil…
Deep dive into GitHub Copilot's MCP integration in JetBrains IDEs: Agent Mode, Sampling model scheduling, MCP Prompts, Resources context injection, and Elicitation structured dialogue guidance.
6 Must-Have MCP Plugins to Supercharge…
6 must-have Claude Code MCP plugins: File System, Structured Thinking, GitHub, Chrome DevTools, Context7, and Memos—build a complete AI programming workflow.
TutorialsHow to build a complete online learning platform with Figma design, Cursor AI coding, and UniApp+UniCloud — including user APP and admin system — without writing any code manually.
TutorialsA zero-coding SOE employee quit his job and built a mini program with Cursor. This article analyzes how ordinary people can leverage AI tools for low-cost product development with practical advice.
Product ReviewsIn-depth comparison of 8 AI coding tools including Cursor, Claude Code, Augment Code, Trae, and Windsurf across model support, pricing, code quality, and context understanding to help developers choose the right tool.
TutorialsComplete guide to Cursor AI installation, rules file configuration, and Agent mode in action. Master project-level and global rules setup to drive AI programming with natural language and boost coding efficiency.
Product ReviewsCursor restricted in China? This article reviews three AI coding alternatives: Augment Code for smart prompt optimization, Trae for best value, and Amazon Kilo for process-driven development.
TutorialsA hands-on tutorial for building a financial report analysis AI Agent from scratch using Cursor editor, Skills definitions, and MiniMax M2.1. Covers setup, architecture, Skills methodology, and multi-language programming.
TutorialsComplete guide to Cursor AI programming tool: installation, core features, and practical tips. Compares GitHub Copilot, Windsurf, Trae and more to help beginners boost development efficiency 10x.
TutorialsA systematic breakdown of 15 key steps for building AI Agents with Vibe Coding, covering environment setup, product docs, frontend UI, backend APIs, databases, and deployment.
TutorialsA systematic four-stage career path for AI/LLM application development: from RAG and Agent fundamentals to architecture design, helping developers transition to AI roles targeting 40K+ monthly salary.
Deep DivesA deep dive into AI Agent development methodology, from the ReAct theoretical framework to a four-layer enterprise tech stack covering model services, Agent types, LangChain, and production deployment.
TutorialsDeep dive into SubAgent context isolation architecture, covering parent-child Agent roles, tool definitions, run_subagent implementation, and differences from TodoList and Agent Teams.
TutorialsDeep dive into Claude Code Sub-Agent mechanism with a practical blog writing + Git commit case study, showing how multi-agent collaboration solves instruction loss and context bloat issues.
TutorialsA deep dive into Harness Engineering's three-layer architecture: Information, Constraint, and Automation layers, covering Agent failure modes, OpenAI and Anthropic best practices, and AI tool selection strategies for controlled AI development.