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Generative AI for Code Review Automation
ABOUT THE CUSTOMER

A leading software development firm managing large-scale DevOps pipelines for enterprise clients. The company delivers rapid feature releases but faces challenges in maintaining code quality across its distributed engineering teams

THE CHALLENGE |
  • Code reviews were entirely manual, creating bottlenecks in CI/CD pipelines and delaying releases
  • High defect rates due to inconsistent and missed code quality checks
  • Engineers spent excessive time on low-value tasks like identifying redundant code or formatting issues
  • The company struggled to maintain consistent coding standards across geographically distributed teams
THE SOLUTION |

CloudifyOps team improved manual code reviews by using Amazon CodeWhisperer, an AI tool that provides real-time suggestions and automates code quality checks.
They trained custom AI models with Amazon SageMaker on their coding practices and past issues.

AWS Lambda automated the review process in CI/CD pipelines, while Amazon CodeGuru ensured secure and optimized code. Performance was tracked with CloudWatch dashboards for continuous improvement, streamlining the entire review workflow.

BENEFITS DELIVERED |
  • Automated code reviews with AI-assisted suggestions reduced the review cycle time by 60%
  • Defect rates decreased by 40%, improving overall software quality and customer satisfaction
  • Engineers focused more on critical tasks, increasing productivity by 30%
  • Standardized code quality and adherence to best practices across the organization
TECHNOLOGY STACK |

Amazon CodeWhisperer, SageMaker, AWS Lambda, Amazon CodeGuru, Amazon CloudWatch

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