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Automating Code Review with AI: Building a Smart Review Bot
AI as a Code Review Partner
Code review is essential but time-consuming. AI can't replace human reviewers, but it can catch common issues, enforce style guidelines, and free humans to focus on architecture and logic.
Building the Review System
class AICodeReviewer
{
private string $systemPrompt = <<ai->generate([
'system' => $this->systemPrompt,
'user' => $prompt,
]);
return $this->parseReviewResponse($response);
}
}
GitHub Integration
class GitHubReviewBot
{
public function handlePullRequest(array $payload): void
{
$pr = $payload['pull_request'];
$diff = $this->github->getPullRequestDiff($pr['number']);
$review = $this->reviewer->reviewDiff($diff, [
'title' => $pr['title'],
'description' => $pr['body'],
]);
// Post review comments
foreach ($review['comments'] as $comment) {
$this->github->createReviewComment(
$pr['number'],
$comment['body'],
$comment['path'],
$comment['line']
);
}
// Post summary
$this->github->createComment(
$pr['number'],
$this->formatSummary($review)
);
}
}
Specialized Review Prompts
class ReviewPrompts
{
public static function security(): string
{
return <<
Learning from Past Reviews
class ReviewLearning
{
public function recordFeedback(Review $review, string $feedback): void
{
ReviewFeedback::create([
'review_id' => $review->id,
'original_comment' => $review->comment,
'feedback' => $feedback,
'was_helpful' => $feedback === 'helpful',
]);
}
public function improvePrompt(): string
{
$unhelpfulReviews = ReviewFeedback::where('was_helpful', false)
->with('review')
->limit(50)
->get();
// Use AI to analyze patterns in unhelpful reviews
return $this->ai->generate([
'system' => 'Analyze these code review comments that were marked unhelpful. Identify patterns and suggest prompt improvements.',
'user' => $unhelpfulReviews->toJson(),
]);
}
}
Conclusion
AI code review augments human reviewers, catching routine issues and allowing developers to focus on higher-level concerns. Start simple, gather feedback, and iterate on your prompts.
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