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Introducing AWS Transform custom: Crush tech debt with AI-powered code modernization

2 weeks ago 2 min read aws.amazon.com

Summary: This is a summary of an article originally published by AWS Blog. Read the full original article here →

AWS has introduced AWS Transform, a new service designed to help organizations modernize their codebases and tackle technical debt effectively using AI-powered solutions. By leveraging machine learning and sophisticated analysis tools, AWS Transform streamlines the process of identifying outdated code and provides clear pathways for migration to modern architectures. This modern approach not only enhances productivity but also fosters innovation by allowing teams to focus on developing new features rather than maintaining legacy systems.

With the rapid evolution of software development practices, companies often find themselves shackled by outdated code that complicates integration, scalability, and maintenance. AWS Transform aims to alleviate these challenges by offering actionable insights and automated code updates that align with best practices in modern software development. The service supports developers by improving code quality, reducing costs, and accelerating deployment cycles, thus promoting a culture of continuous improvement.

In a landscape where agility and efficiency are paramount, AWS Transform empowers DevOps teams to embrace modernization strategies that can significantly lower technical debt. By integrating AI into the workflow, organizations can better prioritize their codebase's health and make informed decisions that drive their business goals forward. As companies embark on their digital transformation journeys, AWS Transform stands as a pivotal partner in navigating the complexities of code modernization.

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