TLDR Comparison of Wi and Cursor, exploring differences in code quality, context, and future enhancements. Wi Sur offers good value at a lower cost.

Key insights

  • ⚙️ Wi introduces contextually relevant code generation features with Cascade
  • 🔍 Cursor catches up with similar context-based features after Wi's release
  • ⚔️ Fierce competition in AI code editor landscape, with capabilities of WindSur and Cursor now on par
  • 🔄 Implicit checkpointing with cursor and the integration with Git are essential to developers' everyday workflow
  • 🤖 AI-enabled code editors list out the logic of changes, fix up comments, and lint the code, with Cursor now having the stability to automatically generate git commit messages
  • 💰 Wi Sur offers good value for money, providing 90% of Cursor's features at a lower cost
  • 🌐 Future enhancements include running long commands, web search capabilities, and seamless integration of external code and styles
  • 🔍 Developers desire enhancements in code navigation, visualization, and the ability to visualize changes

Q&A

  • What is the comparison between Wi Sur and Cursor in terms of value for money and features?

    Wi Sur offers good value for money with $10 per month and unlimited AI usage. Cursor has accumulated small features over the past 2 years, but Wi Sur provides 90% of Cursor's features at a lower cost. Wi Sur is catching up quickly in the UX department, while Cursor comes at a slightly higher price point for AI features.

  • How do AI-enabled code editors like Wind and Cursor bring convenience, and what customization features are available in Cursor?

    AI-enabled code editors list out the logic of changes, fix up comments, and lint the code as they go along. Cursor's latest release added stability to automatically generate git commit messages, with the ability to customize commit message structure using rules. Wind could benefit from implementing similar features for consistent quality across larger code bases.

  • What are the core aspects of a developer's everyday workflow, and what are the challenges and desired enhancements?

    The developer's everyday workflow includes implicit checkpointing with Cursor, integration with Git for version control, challenges with diff visualization and code navigation, as well as the need for visualizing changes and enhancements in code navigation and visualization.

  • What is the current landscape of AI code editors, and what are the future enhancements for WindSur and Cursor?

    There is fierce competition in the AI code editor landscape. WindSur and Cursor have similar capabilities, with future enhancements including running long commands, web search capabilities, and seamless integration of external code and styles.

  • How effective is AI for tasks, and what are the strengths and weaknesses of automated context tools?

    AI works well for small tasks but needs explicit specification for complex features. Automated context tools work for some features but lack in others like doc and internet search. Cursor provides convenient features such as mentioning the current diff and working state, along with a wide range of manual tools for achieving outcomes.

  • What are the key differences between Wi and Cursor in terms of code quality and context?

    Wi and Cursor both use models by OpenAI but differ in their ability to optimize prompts and understand context. Wi introduces contextually relevant code generation features with Cascade, while Cursor catches up with similar context-based features after Wi's release. Wi's ability to understand context and continue work in Cascade is demonstrated as a cool workflow feature.

  • 00:00 An exploration of the differences between Wi and Cursor, focusing on code quality and context as key features. Both editors use models by OpenAI but differ in their ability to optimize prompts and understand context.
  • 02:54 AI can be useful for small tasks but needs explicit specifications for complex features. While some automated context tools work well, others like doc and internet search are lacking. Cursur offers convenient features like mentioning the current diff and working state, along with a wide range of manual tools.
  • 05:48 Fierce competition in AI code editor landscape. Both WindSur and Cursor have similar capabilities. Future enhancements include running long commands, web search capabilities, and seamless integration of external code and styles.
  • 08:46 Developers everyday workflow; Implicit checkpointing with cursor; Integration with Git; Diff visualization improvement; Need for visualizing changes; Enhancements in code navigation and visualization
  • 11:49 AI-enabled code editors like Wind and Cursor bring convenience by listing out the logic of changes, fixing comments, linting, and generating commit messages. Customizing commit message structure is possible in Cursor using rules. Wind could benefit from similar features for consistency across larger code bases.
  • 15:05 A comparison of two AI coding tools, Wi Sur and Cursor, reveals that Wi Sur offers good value for money, while Cursor has accumulated a lot of small features over the past 2 years. Wi Sur wins in terms of pricing and provides 90% of Cursor's features at a lower cost.

Wi vs Cursor: Exploring AI Code Editors' Features and Capabilities

Summaries → Science & Technology → Wi vs Cursor: Exploring AI Code Editors' Features and Capabilities