-
Notifications
You must be signed in to change notification settings - Fork 489
refactor: remove AI profile functionality and related components #394
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Conversation
- Deleted the AI profile management feature, including all associated views, hooks, and types. - Updated settings and navigation components to remove references to AI profiles. - Adjusted local storage and settings synchronization logic to reflect the removal of AI profiles. - Cleaned up tests and utility functions that were dependent on the AI profile feature. These changes streamline the application by eliminating unused functionality, improving maintainability and reducing complexity.
|
Important Review skippedAuto reviews are disabled on base/target branches other than the default branch. Please check the settings in the CodeRabbit UI or the You can disable this status message by setting the Thanks for using CodeRabbit! It's free for OSS, and your support helps us grow. If you like it, consider giving us a shout-out. Comment |
Summary of ChangesHello @webdevcody, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed! This pull request focuses on a significant refactoring effort to remove the AI profile functionality from the application. By eliminating this feature and all its associated components, the application becomes more streamlined, easier to maintain, and less complex. This change simplifies both the user interface and the underlying codebase, ensuring that only actively used and necessary features are present. Highlights
🧠 New Feature in Public Preview: You can now enable Memory to help Gemini Code Assist learn from your team's feedback. This makes future code reviews more consistent and personalized to your project's style. Click here to enable Memory in your admin console. Using Gemini Code AssistThe full guide for Gemini Code Assist can be found on our documentation page, here are some quick tips. Invoking Gemini You can request assistance from Gemini at any point by creating a comment using either
Customization To customize Gemini Code Assist for GitHub experience, repository maintainers can create a configuration file and/or provide a custom code review style guide (such as PEP-8 for Python) by creating and adding files to a Limitations & Feedback Gemini Code Assist may make mistakes. Please leave feedback on any instances where its feedback is incorrect or counter productive. You can react with 👍 and 👎 on @gemini-code-assist comments. If you're interested in giving your feedback about your experience with Gemini Code Assist for Github and other Google products, sign up here. You can also get AI-powered code generation, chat, as well as code reviews directly in the IDE at no cost with the Gemini Code Assist IDE Extension. Footnotes
|
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Code Review
This pull request completely removes the 'AI Profiles' feature from the application. This involves deleting all related UI components, state management, API endpoints, and configuration settings across the codebase. Specifically, the changes include removing the AIProfile type definition, eliminating AI profile-related fields from global settings and local storage migration logic, and updating various UI components (sidebar, board view dialogs, settings view) to no longer reference or manage AI profiles. Additionally, keyboard shortcuts and E2E test fixtures associated with AI profiles have been removed. The core app-store and settings-service have been refactored to no longer store or process AI profile data.
These changes streamline the application by eliminating unused functionality, improving maintainability and reducing complexity.