generated from JetBrains/intellij-platform-plugin-template
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
AI-Powered rename command #181
Comments
phodal
added a commit
that referenced
this issue
May 8, 2024
This commit introduces a new refactor command and its implementation, along with test data for the refactor feature.
phodal
added a commit
that referenced
this issue
May 8, 2024
phodal
added a commit
that referenced
this issue
May 8, 2024
phodal
added a commit
that referenced
this issue
May 8, 2024
phodal
added a commit
that referenced
this issue
May 24, 2024
…ilder #181 Update the TestDataBuilder implementation and references to PsiElementDataBuilder across the codebase to reflect the change in responsibility and improve naming consistency. This includes changes to XML configurations, Kotlin and Java test files, and the core provider interface.
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Feature Proposal: AI-Powered Smart Refactor
Description
This feature aims to introduce an AI-driven refactoring tool that automatically analyzes code, identifies potential improvements, and provides suggestions to enhance code quality, readability, and maintainability.
Motivation
The motivation behind this feature is to reduce the time and effort required for manual refactoring, minimize the risk of introducing bugs during refactoring, and to promote best practices in code structure and design. By leveraging AI, we can offer developers a powerful assistant that can handle complex refactoring tasks with a high degree of accuracy.
Proposed Solution
The proposed solution involves integrating an AI model that can parse through code, understand its intent, and suggest refactoring options. This could include extracting methods, inlining functions, restructuring class hierarchies, and more. The tool should provide a user-friendly interface that allows developers to review and apply the suggested changes with ease.
Alternatives Considered
Alternatives considered include manual refactoring, using existing code analysis tools, and integrating with third-party refactoring plugins. However, these options are time-consuming, prone to human error, and may not offer the same level of insight and automation as an AI-powered solution.
Additional Context
The AI model should be trained on a diverse set of codebases to ensure it can handle various programming languages and coding styles. It's also important to consider the privacy and security implications of analyzing code, and to ensure that the tool respects the intellectual property of the developers using it.
The text was updated successfully, but these errors were encountered: