Build your own continuous modernization pipeline with AWS Transform custom

This article demonstrates how to build a continuous modernization pipeline using AWS Transform custom integrated with CI/CD workflows to automate dependency remediation, documentation, and code modernization across repositories.

• Embed AI-powered code transformations directly into CI/CD pipelines to turn modernization into an automated, ongoing practice rather than periodic projects
• Automate dependency remediation beyond version bumps to handle breaking API changes and required code modifications triggered by Dependabot alerts
• Generate updated architecture documentation and technical debt reports automatically on every commit to keep documentation current
• Scale transformations across multiple repositories in parallel using GitHub Actions matrix strategy or AWS Batch for large portfolios
• Leverage continual learning where the agent extracts lessons from each execution to improve accuracy in subsequent transformation runs
• Use AWS Transform CLI in non-interactive mode with --trust-all-tools flag for headless CI/CD execution with retry logic

Continuous modernization prevents technical debt accumulation by maintaining up-to-date dependencies and documentation on every commit, improving code quality and AI agent accuracy across microservices architectures.