Software Engineering
AI-Powered Pull Request Review Assistant
60%
Manual review effort reduced
40%
Review consistency improvement
Azure AI Foundry
Built on
The Challenge
A large engineering organisation with multiple development teams was struggling with inconsistent code review quality and long review cycle times. Senior engineers were bottlenecked with review requests, junior developers received inconsistent feedback depending on who reviewed their code, and adherence to coding standards and architectural guidelines varied significantly across teams. Manual reviews were catching defects but missing patterns that spanned multiple files or violated architectural conventions.
Our Solution
We built an AI-powered pull request review assistant using Azure AI Foundry that integrates directly into the development workflow via Azure DevOps. The tool automatically analyses every pull request against the organisation's coding standards, architectural guidelines, and security requirements. It provides structured, actionable feedback as PR comments that highlight issues, suggest fixes, and link to relevant documentation. The system learns from the organisation's codebase and standards rather than relying on generic rules.
The Outcome
Manual code review effort dropped by 60%, freeing senior engineers to focus on architectural decisions and mentoring. Review consistency improved by 40% across teams as every PR receives the same baseline analysis regardless of reviewer availability. The tool catches security issues, naming convention violations, and architectural drift that were frequently missed in manual reviews. Developer satisfaction with the review process improved significantly.
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