Implement AI-powered Code Review System with Line-by-Line Comments #6
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📖 WalkthroughMajor enhancement implementing an AI-powered code review system. The changes include a new review prompt system that analyzes PR content, generates detailed code comments, and submits them as GitHub review comments. The system evaluates code quality, security concerns, and provides actionable feedback with specific line-by-line comments. Changes
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📖 WalkthroughMajor enhancement introducing an AI-powered code review system that analyzes PRs and provides detailed feedback. The system evaluates code quality, security concerns, and generates specific line-by-line comments as GitHub review comments. The implementation includes a new review prompt system, comment submission logic, and improved diff handling for better code analysis. Changes
autogenerated by presubmit.ai |
bstanga
changed the title
| ): Promise<PullRequestReview> { | ||
| let systemPrompt = ` | ||
| <IMPORTANT INSTRUCTIONS> | ||
| You are an experienced senior software engineer tasked with reviewing a Git Pull Request (PR). Your goal is to provide comments to improve code quality, catcht typos, potential bugs or security issues, and provide meaningful code suggestions when applicable. |
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There's a typo in the word 'catcht' which should be 'catch'.
| }; | ||
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| // Handle file comments | ||
| const fileComments = comments.filter((c) => !c.end_line); |
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The filter condition !c.end_line for file comments is incorrect. A comment with end_line: 0 would be treated as a file comment. Consider using a more explicit condition like c.end_line === undefined || c.end_line === null.
| } | ||
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| // Handle line comments | ||
| const lineComments = comments.filter((c) => !!c.end_line); |
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The filter condition !!c.end_line is inconsistent with the previous filter. This could lead to comments being missed if end_line is 0. Consider using c.end_line !== undefined && c.end_line !== null.
| // If submitting all comments at once fails, try submitting them one by one | ||
| info("trying to submit comments one by one"); | ||
| await Promise.allSettled( | ||
| lineComments.map((c) => | ||
| submitInlineComment(c.file, c.end_line, c.content) | ||
| ) | ||
| ); |
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The fallback error handling doesn't log individual comment submission failures. Consider adding error logging for each failed comment submission to help with debugging:
const results = await Promise.allSettled(
lineComments.map((c) =>
submitInlineComment(c.file, c.end_line, c.content)
)
);
results.forEach((result, index) => {
if (result.status === 'rejected') {
warning(`Failed to submit comment for ${lineComments[index].file}: ${result.reason}`);
}
});| export type AIComment = { | ||
| file: string; | ||
| start_line: number; | ||
| end_line: number; | ||
| highlighted_code: string; | ||
| header: string; | ||
| content: string; | ||
| label: string; | ||
| }; |
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Consider using zod schema for AIComment type definition instead of a plain type. This would allow runtime validation of the comment structure and provide consistent validation with the schema defined below:
export const AICommentSchema = z.object({
file: z.string(),
start_line: z.number(),
end_line: z.number(),
highlighted_code: z.string(),
header: z.string(),
content: z.string(),
label: z.string()
});
export type AIComment = z.infer<typeof AICommentSchema>;
Major enhancement introducing an AI-powered code review system that analyzes PRs and provides detailed feedback. The system evaluates code quality, security concerns, and generates specific line-by-line comments as GitHub review comments. The implementation includes a new review prompt system, comment submission logic, and improved diff handling for better code analysis.