AWS Partner Network (APN) Blog
Category: Amazon Q Developer
How DXC Technology upgraded Angular and .NET applications with Amazon Q Developer
Learn how DXC Technology used Amazon Q Developer to help its customer modernize over 80 microservices and multiple micro-frontend applications, upgrading from older Angular and .NET versions while achieving a 60–75% reduction in overall upgrade effort. By combining structured prompt engineering with AI-driven automation, DXC transformed a high-risk, months-long modernization initiative into a fast, secure, and scalable success, saving an estimated 1,200 to 1,400 developer hours while strengthening security and compliance across the platform.
Enhancing code quality at scale with SonarQube and Amazon Q Developer
Enterprise development teams face a critical challenge as they accelerate software delivery through AI-powered tools: maintaining rigorous code quality and security standards without sacrificing development velocity. The SonarQube MCP Server integration with Amazon Q Developer addresses this by performing real-time code quality analysis directly within AI development workflows, enabling developers to identify and resolve potential vulnerabilities earlier in the development lifecycle when issues are less expensive to fix.
Accelerating Mainframe Modernization: Learn How Partners Are Leveraging AWS Transform
AWS announces the general availability of AWS Transform for mainframe, a new service that accelerates mainframe modernization using specialized AI agents. This blog showcases how AWS Partners are leveraging the service to streamline customer migrations, reducing transformation timelines from years to months while addressing traditional modernization challenges around speed, complexity, and skills gaps.
AI-Driven DevOps: Quality and Compliance with Inflectra and Amazon Bedrock
In today’s fast-paced digital landscape, the integration of AI in DevOps is changing how organizations balance innovation with compliance requirements. Generative AI tools have enhanced developer productivity, with estimates suggesting up to 45% improvement in efficiency, while creating new challenges for quality control and regulatory compliance. Through solutions like SpiraTeam from Inflectra, organizations can now leverage AI to modernize their quality and compliance processes while maintaining rigorous safety standards, particularly crucial for regulated industries like healthcare, finance, and utilities.



