Amazon Web Services (AWS) announced on June 17, 2026, the preview of AWS Transform – continuous modernization, a tool designed for autonomous technical debt analysis and remediation. The system scans code repositories against configurable baselines to identify deprecated frameworks, end-of-life dependencies, and other standard technical debt issues within hours. It aims to address the manual effort currently required for software maintenance, which platform teams often manage through fragmented tools and lagging status reports. Engineering organizations report that software maintenance consumes up to 30% of IT budgets, a problem exacerbated by AI-assisted coding agents that accelerate code changes and debt accumulation.

The continuous modernization capability functions in two primary modes. In continuous mode, the tool automatically monitors codebases to keep libraries and standards current, while campaign mode targets large-scale modernization projects, such as major runtime version upgrades across hundreds of applications simultaneously. Users can extend default policies with custom remediation patterns to enforce organization-specific coding standards or internal library requirements. Once identified, the platform generates pull requests for affected repositories, allowing teams to review and merge fixes directly. The system also integrates with AWS Security Agent, routing security vulnerabilities into the same prioritized workflow used for broader technical debt.

To deploy the service, users connect their source control systems through the AWS Transform web application. The platform provides a centralized dashboard showing repository status, severity of findings, and the number of affected files. As remediations progress, the tool tracks which pull requests have been merged and which repositories have returned to compliance in real time. The service is currently available to users via the AWS Transform web application, the AWS Transform Kiro Power, and through integrations with existing coding agents via MCP (Model Context Protocol, an open standard for connecting AI assistants to data sources) and skills.

Amazon Web Services (AWS) announced on June 17, 2026, the preview of AWS Transform – continuous modernization, a tool designed for autonomous technical debt analysis and remediation. The system scans code repositories against configurable baselines to identify deprecated frameworks, end-of-life dependencies, and other standard technical debt issues within hours. It aims to address the manual effort currently required for software maintenance, which platform teams often manage through fragmented tools and lagging status reports. Engineering organizations report that software maintenance consumes up to 30% of IT budgets, a problem exacerbated by AI-assisted coding agents that accelerate code changes and debt accumulation.

The continuous modernization capability functions in two primary modes. In continuous mode, the tool automatically monitors codebases to keep libraries and standards current, while campaign mode targets large-scale modernization projects, such as major runtime version upgrades across hundreds of applications simultaneously. Users can extend default policies with custom remediation patterns to enforce organization-specific coding standards or internal library requirements. Once identified, the platform generates pull requests for affected repositories, allowing teams to review and merge fixes directly. The system also integrates with AWS Security Agent, routing security vulnerabilities into the same prioritized workflow used for broader technical debt.

To deploy the service, users connect their source control systems through the AWS Transform web application. The platform provides a centralized dashboard showing repository status, severity of findings, and the number of affected files. As remediations progress, the tool tracks which pull requests have been merged and which repositories have returned to compliance in real time. The service is currently available to users via the AWS Transform web application, the AWS Transform Kiro Power, and through integrations with existing coding agents via MCP (Model Context Protocol, an open standard for connecting AI assistants to data sources) and skills.