Copilot vs. Cursor vs. Cody vs. Supermaven vs. Aider
Vincent Schmalbach prefers Cursor over GitHub Copilot for its effective code modification and autocomplete features, while Aider serves command-line users. Sourcegraph Cody is less reliable for code modifications.
Read original articleVincent Schmalbach compares several AI coding assistants: GitHub Copilot, Cursor, Sourcegraph Cody, Supermaven, and Aider. He transitioned from GitHub Copilot to Cursor in early 2024, finding Cursor's features, particularly the Ctrl+K command for code modifications and the Tab feature for autocomplete, to be more effective for his development work. GitHub Copilot, while revolutionary for its autocomplete capabilities, felt limited as it lacked seamless integration for complex tasks, leading Schmalbach to prefer dedicated chat services for those needs. Cursor's design allows for efficient code editing and real-time suggestions, making it a comprehensive tool for developers. In contrast, Sourcegraph Cody, while feature-rich, does not match Cursor's reliability in code modifications. Schmalbach also highlights the potential of Aider, a command-line tool that facilitates AI-assisted pair programming, emphasizing its focus on terminal-based workflows. He notes that while both Cursor and Aider can modify code effectively, they cater to different user preferences: Cursor for those who favor GUI environments and Aider for command-line enthusiasts. The evolution of these tools reflects a growing trend towards integrating AI into coding practices, enhancing productivity and streamlining workflows.
- Vincent Schmalbach prefers Cursor for its effective code modification and autocomplete features.
- GitHub Copilot, while innovative, lacks the seamless integration needed for complex tasks.
- Sourcegraph Cody offers similar functionality to Cursor but is less reliable in code modifications.
- Aider is a promising command-line tool for AI-assisted pair programming.
- The choice between Cursor and Aider depends on user preference for GUI versus command-line interfaces.
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The next interaction mode I want is to have the AI as a pair programming partner, making comments as I type code, including suggestions and pointing out potential errors, and allowing me to ask questions. That is, similar to the rubber ducking, except that I'd like it to interject comments at the right moments automatically.
Until one product becomes clearly better, the code AI ecosystem might just churn and churn and churn.
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