Microsoft Revolutionizes Code Reviews with AI Copilot, Impacting 600,000 PRs Monthly
Microsoft's AI Copilot tool enhances efficiency in internal code reviews, affecting over 600,000 PRs each month.
Key Points
- • Microsoft uses an AI-powered coding assistant for internal code reviews.
- • The AI tool impacts over 600,000 pull requests monthly, covering 90% of the total PRs.
- • It automatically checks code, comments, and suggests improvements, allowing reviewer interaction.
- • The AI implementation has resulted in faster cycles and improved code quality.
Microsoft has implemented its AI-powered coding assistant into internal code review processes, significantly enhancing efficiency by impacting over 600,000 pull requests (PRs) per month, which constitutes nearly 90% of the company's total PRs. Developed by the Developer Division's AI & Data team, this tool addresses common code review challenges such as focuses on syntax over critical issues and providing context in complex PRs.
The AI assistant automatically checks code, comments, flags issues, suggests improvements, and generates summaries of PRs. Human reviewers are able to interact with the AI, allowing for a Q&A session that promotes a better understanding of the code. The company claims that the introduction of this AI assistant has led to faster review cycles and improved code quality, indicating a transformative shift in coding practices.
Additionally, Microsoft has begun sharing insights and tools derived from this internal implementation with external customers, particularly through GitHub Copilot, which features similar code review capabilities that became available in April 2025. This aligns with Microsoft's broader strategy to leverage AI to improve development processes and enhance productivity within their engineering teams.
The AI integration reflects a significant step towards utilizing machine learning in software development, potentially setting a precedent for other tech companies to follow suit. As the technology matures, it could redefine how developers approach code quality and efficiency in their workflows.