TLDR Tab 9, similar to GitHub co-pilot, autocompletes code with explanations, comments, and test cases. Though it has limitations, it's generally useful for code autocompletion.

Key insights

  • ⌨️ Tab 9 is like GitHub co-pilot, autocompleting code as it's being written with an AI chat feature
  • 🤔 It can sometimes provide incorrect or incomplete information and may not always explain mistakes thoroughly
  • 📝 It can generate test cases for code and add comments and explanations
  • 👍 It has limitations but is generally helpful
  • 💡 Tab 9 provides helpful code autocompletion but lacks originality in generating test cases
  • 💬 Chat GPT is useful for learning and conversation but may provide incorrect information without citing sources
  • ⚙️ GitHub Co-pilot offers code autocompletion, in-line questioning, and test case generation, demonstrating greater flexibility and accuracy
  • ⚒️ Copilot is efficient in generating test cases and implementing functions, providing exhaustive test cases for sorting algorithms

Q&A

  • What are the features of Codium AI, and how does it compare to other AI coding tools?

    Codium AI focuses on testing and improving code rather than code autocompletion. It generates test suites, provides code analysis, suggestions, and explanations to enhance code quality. The tool is highly rated for its focus on code improvement, serving as a valuable complement to other AI developer tools like Chat GPT and GitHub co-pilot.

  • What are the limitations of Sourcegraph Cody AI coding assistant?

    Sourcegraph Cody has limitations in auto-completing comments and generating unit tests. It may struggle to understand large codebases, and it could be slow while integrating with the code repository.

  • How does Code Whisper compare to Sourcegraph Cody in code autocompletion?

    Code Whisper offers code autocompletion but lacks the ability to generate comments or interact with specific prompts. Sourcegraph Cody, on the other hand, can autocomplete code and offers suggestions to improve functions based on the entire code repository.

  • What are the insights on Copilot, Bard, and Amazon CodeGuru Whisper?

    Copilot is efficient in generating test cases and implementing functions, offering exhaustive test cases for sorting algorithms. Bard, while useful, is less accurate than Copilot and may not work perfectly for certain tasks. Amazon CodeGuru Whisper offers code autocompletion and test case generation but has limitations such as generating one line at a time.

  • How does Tab 9 compare to GitHub Co-pilot and Chat GPT?

    Tab 9 provides helpful code autocompletion but lacks originality in generating test cases. GitHub Co-pilot offers code autocompletion, in-line questioning, and test case generation, demonstrating greater flexibility and accuracy. Chat GPT is useful for learning and conversation but may provide incorrect information without citing sources.

  • What is Tab 9?

    Tab 9 is an AI tool similar to GitHub co-pilot that autocompletes code as it's being written with an AI chat feature. It can sometimes provide incorrect or incomplete information and may not always explain mistakes thoroughly. It can also generate test cases for code and add comments and explanations.

  • 00:00 Tab 9 is an AI tool similar to GitHub co-pilot that autocompletes code and provides explanations, comments, and test cases. It has some limitations but is generally useful.
  • 03:51 A review and comparison of AI coding tools, including Tab 9, Chat GPT, and GitHub Co-pilot, highlighting their features and usefulness.
  • 07:48 A comparison of code generation tools including Copilot, Bard, and Amazon CodeGuru Whisper with insights on their abilities and drawbacks.
  • 11:47 Two AI tools, Code Whisper and Sourcegraph Cody, are evaluated for their code autocompletion and suggestion functionalities. Code Whisper performs poorly in autocompleting codes and generating comments, while Sourcegraph Cody is capable of providing improvement suggestions based on the entire code repository.
  • 16:03 A review of Source graph Cody AI coding assistant showing its limitations in auto-completing comments, generating unit tests, and understanding large codebases. The tool was slow, struggled to parse files, and did not effectively integrate with the code repository.
  • 20:31 A review of Codium AI, a code testing and improvement tool, highlighting its features and capabilities. The tool provides test case generation, code analysis, suggestions, and explanations to enhance code quality. The reviewer rates it highly for its focus on code improvement. It is identified as a valuable tool to complement other AI developer tools like Chat GPT and GitHub co-pilot.

Tab 9: The AI Coding Assistant to Complement Your Development Skills

Summaries → Science & Technology → Tab 9: The AI Coding Assistant to Complement Your Development Skills