TLDR VS Code mimics Cursor's AI features, CodeStream AI aids code review, Quick chat's experimental AI testing and chat prompts, Frustration with writing tests, AI code modifications challenges, Unconventional testing approaches and potential improvements, Investments and biases in AI Dev tools

Key insights

  • ⚔️ VS Code mimics AI features of Cursor, heating up the AI editor wars
  • 👨‍💻 CodeStream's AI tool enhances code review, bug detection and PR summarization
  • 🆓 CodeStream offers free AI tool for open source projects
  • 💬 Quick chat enables context attachment and AI-generated user-friendly names
  • 🧪 CodeStream's experimental AI-based code testing features
  • 🔍 Struggles with writing and running tests, experiments with AI-powered tools
  • 🔧 AI's attempt to modify code, ensuring type safety, and limitations
  • 🕵️ Exploring unconventional testing approaches, light-hearted tone
  • 💰 Discussion of investments and biases, comparing AI Dev tools

Q&A

  • What topics are discussed in the video related to AI dev tools and investments?

    The video covers various topics including investments, acknowledgment of biases, experimentation with code generation instructions, comparisons of AI tools like Co-Pilot with others, and seeking feedback on AI dev tools, providing a comprehensive discussion on the subject.

  • How does the speaker approach testing a feature and discussing potential improvements?

    The speaker tests a feature using unconventional approaches and humorously explores potential improvements. They suggest interesting use cases, consider the potential for chat commands, and acknowledge the investor relationship with Microsoft, adopting a light-hearted and explorative tone.

  • What is the speaker's experience with code modification, type safety, and AI's code generation and modification capabilities?

    The speaker discusses code modification, including key binding, and explores AI’s ability to generate and modify code while ensuring type safety. They encounter challenges but ultimately achieve their desired results through iterative testing and modification.

  • How does the speaker utilize AI-powered tools to improve the testing process?

    The speaker uses AI-powered tools such as co-pilot and Cursor to enhance the code testing process. They experiment with test cases and utilize code generation to address challenges encountered when writing and running tests for a function.

  • What features does Quick Chat offer, and what are its AI capabilities?

    Quick Chat allows attaching context for files and employs AI to generate user-friendly names in chat history. Additionally, it provides experimental code testing features along with an inline chat prompt feature, enhancing the overall code editing and collaboration experience.

  • How does CodeStream’s AI tool contribute to code review?

    CodeStream’s AI tool greatly aids in code review by offering features like bug detection and pull request summarization. Furthermore, it is free for open source projects, making it accessible for developers in collaborative environments.

  • What is Cursor and how does it relate to VS Code?

    Cursor is a VS Code fork designed to enhance AI editing experience. VS Code has pushed updates to mimic some features of Cursor, sparking competition between the two for AI-powered editing capabilities.

  • 00:00 The AI editor wars are heating up as VS Code creates a copy of AI features from Cursor, while CodeStream's AI tool can greatly enhance code review and is free for open source projects.
  • 01:43 Quick chat added ability to attach context, AI generates user-friendly names, and code testing features are experimental. The speaker expresses concerns about AI-generated testing and discusses the inline chat prompt feature.
  • 04:06 The speaker is frustrated with writing and running tests for a function, and tries different approaches and tools to overcome the challenges.
  • 07:09 The speaker is discussing code modifications, type safety, and AI's ability to generate and modify code. They encounter challenges but ultimately achieve their desired results.
  • 10:25 The speaker is testing a feature and encountering issues with its functionality, suggesting unconventional ways to use it and discussing potential improvements. The tone is light-hearted and explorative.
  • 14:02 Discussing investments in various things, acknowledging biases, trying out code generation instructions, comparing Co-Pilot with other tools, seeking feedback on AI Dev tools.

AI Editor Wars: VS Code, Cursor, and CodeStream Shake Up AI Features

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