AWS Transform - continuous modernization

Turn manual, reactive software maintenance into continuous modernization.  AWS Transform - continuous modernization shifts code transformation from a periodic project into an automated, pipeline-driven practice – easing the burden of software maintenance in an era of AI code overload. Instead of scheduling a "modernization sprint", your CI/CD pipeline identifies and remediates technical debt on every commit, every dependency alert, and across every repository, evolving your pipeline toward CI/CD/CM (continuous modernization). 

AWS is recognized as a Leader in the 2026 Gartner Magic Quadrant for AI Augmented Code Modernization Tools, positioned highest for ability to execute.  

Reduce the guesswork in planning large-scale upgrades and keep your code bases modern with AWS Transform - continuous modernization. This agentic capability includes comprehensive code base analysis, agentic readiness analysis, and modernization recommendations.  

Learn how healthcare technology provider Netsmart modernized legacy code across diverse product lines by using AWS Transform.

"With AWS, we’re moving clients from months-long, manual tech debt analysis to AI-driven insights in minutes. In one instance, we scanned more than 500 repositories with the new AWS Transform – continuous modernization capability and identified areas of technical debt in a fraction of the time. The service can help reduce both analysis timelines and resourcing needs. Remediating technical debt is essential, because it clears the necessary financial and operational runway for continuous enterprise reinvention.”

- Neil Redmond, Managing Director, AWS Delivery Practice Lead, Accenture

"Running periodic scans provides significant value, especially in highly regulated industries where compliance, traceability, and controlled remediation are critical. It enables teams to apply remediations more consistently and greatly simplifies both code update and compliance processes. For sectors subject to recurring regulatory, security, or operational control requirements, this capability becomes essential. Having a detailed pre-analysis means that instead of analyzing the entire codebase from scratch, teams already have a solid starting point and that changes everything for large-scale modernization programs.”

 - Andrew Botta, Senior Manager App Modernization, Storm Reply

“AWS Transform – continuous modernization scanned 12 of our repositories in under a minute and immediately surfaced critical Node.js end-of-life dependencies we hadn't addressed — we should have had this capability several years ago. Looking ahead, we're looking to embed this new capability into our standard on-boarding process for every new managed services client. The ability to instantly baseline an entire application portfolio and identify hidden technical debt means we can deliver remediation roadmaps on day one, not month three. For Escala, this transforms how we win and retain customers.”

- Andres Llanos, Principal Cloud Specialist, DevOps – CCoE, Escala 24x7

“The integration with AWS Batch made it straightforward to scale AWS Transform – continuous modernization across our repositories, and the on-boarding experience.  Adding sources, listing repositories, and kicking off scans were smooth. We're looking forward to the continued evolution of the CLI and reporting capabilities. Once features like automatic report generation and shareable links are in place, we can see this fitting naturally into our workflow for communicating security findings across the team in real time."

- Thomas Coville, Senior Developer, Coveo

"At Quantiphi, we're helping enterprises accelerate application modernization through AI-powered engineering. Using AWS Transform - continuous modernization, we analyzed more than 500 repositories and uncovered over 3,000 technical debt findings in less than a week, a time frame that traditionally required nearly three weeks of manual assessment. By automating technical debt discovery and providing actionable remediation insights, we reduced assessment effort by more than 60%, accelerated modernization planning, and enabled our customers to focus engineering investments on innovation instead of analysis. We believe AWS Transform - continuous modernization is a foundational capability for delivering continuous, AI-driven enterprise modernization at scale."

- Sanchit Jain, Migration and Modernization Practice Leader, Quantiphi AWS Practice

"AWS Transform has already demonstrated measurable value by helping five of our teams accelerate projects that were estimated to take three months to more than a year, with some completed in as quickly as two weeks. Now, with AWS Transform - continuous modernization, we are building on that momentum. Dependency mapping has historically been a tedious, complex and ongoing effort. This new capability helps automate dependency mapping on a recurring basis, giving us greater visibility into our codebase health at scale. One notable outcome was generating 36 Java upgrade PRs across the portfolio with minimal intervention. That kind of proactive, automated visibility, combined with the ability to generate actionable pull requests, is a game changer."

- Pepper Pancoast, Sr. Director of Engineering, Netsmart

"At Hexaware, we're constantly looking for ways to help clients modernize fasterwhile controlling cost and complexity. AWS Transform – continuous modernizationprovides a scalable approach to identifying technical debt, modernizationopportunities, and AI-readiness gaps across large application portfolios. Byautomating analysis and continuously surfacing remediation recommendations,organizations can shift from reactive maintenance to proactive modernization. Thiscapability has the potential to significantly accelerate transformation roadmaps andhelp enterprises build more resilient, future-ready applications; very quickly."

- Inderjeet Gurtatta, Vice President, Hexaware Technologies

“Achieving an 80 percent reduction in assessment time — from 40 hours down to 8 — across 25 enterprise repositories is just the beginning of what we see as a transformative shift in how organizations approach continuous modernization. AWS Transform's scanning and analysis engine is solid, and the structured output allows our teams to validate findings quickly and build prioritized remediation plans with confidence. As the platform matures with features like scan resume capabilities and broader platform support, we expect to embed AWS Transform – continuous modernization into our standard delivery methodology while maintaining the depth and accuracy our enterprise clients demand.”

- Sanjeev Agarwal, Global – Head of AWS Business , Tech Mahindra

"For most IT leaders, application modernization is the bane of their existence. We put ATX custom/cm to the test across more than 25 repos, and came away very impressed. Analysis that would have taken our engineers an estimated 3-4 weeks of manual code reviews surfaced in an hour, uncovering over 190 tech debt findings — including outdated dependencies, dead code, and migration risks. The service's ability to build migration rules purpose-built for each repo let us move straight from discovery to a concrete migration plan, without weeks of manual mapping. Based on our testing, we estimate ATX custom/cm can cut 40-50% off the overall modernization lifecycle. This speed means tech leaders can embark on modernization initiatives with confidence that it won't drag on for many years."

- Pankaj Chawla, CTO, 3Pillar

"AWS Transform continuous modernization completes codebase analysis in under an hour; work which normally takes weeks, while uncovering risks that traditional scanners miss like disabled security warnings, vulnerable code copied into applications, and security controls intentionally switched off. Cybage's CLEAR Framework builds on these findings by converting them into a prioritized, customer-specific modernization plan with confidence scoring, technical-debt measurement, and integration with tools like GitHub, Jira, and SonarQube. Together, AWS Transform discovers hidden risks at speed, and CLEAR determines what matters most and how teams move from analysis to execution."

— Mohammad Mahdee-uz Zaman, Vice President, AWS Strategic Alliances, Cybage Software Inc.