Description
探討了多款 AI 編程助手，特別是 Claude Code、Gemini CLI 和 Cursor，在終端機開發環境中的應用與比較。它們深入分析了各工具的功能、效能、程式碼品質、成本效益及使用者體驗。文章普遍認為 Claude Code 在複雜任務的程式碼品質和可靠性方面表現出色，儘管其費用較高；而 Gemini CLI 則因其免費、開源及速度優勢，在快速迭代和日常任務中受到青睞，但其穩定性和精細度仍有提升空間。Cursor 則以其整合多種 AI 模型的靈活性，為追求客製化工作流程的開發者提供了選擇，同時也討論了 Model Context Protocol (MCP) 和 Subagents 等創新技術，這些技術旨在深化 AI 助手的整合能力和協作效率。
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