AI/R Compass Launched Legacy Modernization Tool on AWS
The new AI/Cockpit platform automates the migration of legacy mainframe code to modernize enterprise software stacks.
Updated on Oct. 6, 2026 in Software
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AI/R Compass has launched its AI/Cockpit Smart Engineering tool in the AWS Marketplace. The platform leverages AI to analyze and decompose legacy code, aiming to expedite modernization for financial services, insurance, and consumer goods firms.
Why it matters
As the talent pool for legacy mainframe technologies shrinks, large enterprises face growing operational risks. This tool provides an automated path to modernize critical systems by reducing manual development effort.
AI/R Compass has analyzed 15 million lines of legacy code to date. In practice, the system reduced development effort by 80% when migrating 1.9 million lines of COBOL and JCL to Go.
The players
AI/R Compass
A technology services firm operating in Latin America and Brazil with 1,900 AWS-certified professionals.
AWS
A cloud computing provider offering infrastructure and specialized tools like AWS Transform for enterprise code migration.
The details
The platform integrates AI/Cockpit for code discovery and documentation with AWS Transform, a service for code translation. By utilizing AWS Transform composability, the system develops specialized agents to handle different stages of modernization. It supports legacy languages such as VisualAge, Assembly, and RPG, ensuring functional equivalence during the migration process.
Timeline
October 6, 2026: AI/Cockpit Smart Engineering launched in the AWS Marketplace.
The Tech Race
This release marks an expansion of the AWS Transform ecosystem by layering specialized AI discovery agents onto established migration services. It competes in a landscape of automated refactoring tools aimed at bridging the gap between legacy infrastructure and modern cloud-native architectures.
Enterprises can currently access the tool via the AWS Marketplace to begin analyzing their legacy stacks. The platform is designed for large-scale migrations, with current client projects demonstrating a shift from 18-month timelines to a six-month completion goal.
The takeaway
The move reflects an industry-wide push to automate the conversion of aging mainframe languages into modern cloud-native code. Developers should monitor upcoming project completion reports to see if the 80% reduction in development effort holds at scale.
Further reading
For more on how cloud-based tools are changing application development, visit the Software section.
More information
View the AI/Cockpit Smart Engineering AWS Marketplace page for full platform specifications.
Source note: This article includes information reported by The Manila times.
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