AWS DevOps & Developer Productivity Blog

Category: Amazon Bedrock

Best Practices for Working with Pull Requests in Amazon CodeCatalyst

Best Practices for working with Pull Requests in Amazon CodeCatalyst

According to the Well-Architected DevOps Guidance, “A peer review process for code changes is a strategy for ensuring code quality and shared responsibility. To support separation of duties in a DevOps environment, every change should be reviewed and approved by at least one other person before merging.” Development teams often implement the peer review process […]

Using Generative AI, Amazon Bedrock and Amazon CodeGuru to Improve Code Quality and Security

Automated code analysis plays a key role in improving code quality and compliance. Amazon CodeGuru Reviewer provides automated recommendations that can assist developers in identifying defects and deviation from coding best practices. For instance, CodeGuru Security automatically flags potential security vulnerabilities such as SQL injection, hardcoded AWS credentials and cross-site request forgery, to name a […]