Legacy software applications pose challenges for businesses due to maintenance, security, and compliance issues, driving the need for modernization using new frameworks and cloud services.
Traditional software modernization processes are labor-intensive, costly, and time-consuming, hindering the adoption of cloud technologies for critical applications.
Amazon Q Developer, a generative AI-powered assistant, offers intelligent automation and scalability for large-scale modernization and migration of .NET, mainframe, and VMware workloads.
Q Developer uses AI and autonomous agents to analyze, plan, and implement workload-specific modernization steps, enabling multifunctional teams to transform multiple workloads simultaneously.
By automating complex processes, Q Developer accelerates modernization, improves scalability, and enhances the quality of transformations, leading to faster and cost-effective outcomes.
Teams leveraging Amazon Q Developer can modernize applications up to four times faster, realize cost savings, and streamline migration planning compared to traditional methods.
Q Developer facilitates collaboration through task parallelization and web-based interfaces, enabling multi-functional teams to work together efficiently on large-scale projects.
The expertise of Q Developer agents in languages, frameworks, and domains ensures high-quality modernization outcomes, enhancing security, compliance, and operational performance.
Amazon Q Developer transformation capabilities are currently available in preview, offering a unified web experience and IDE support for organizations looking to modernize their workloads.
To explore the Amazon Q Developer transformation capabilities, interested users can visit the Q Developer web page for demonstrations, documentation, and workload-specific transformation insights.
Krishna Parab and Elio Damaggio lead the product marketing and development efforts for Amazon Q Developer transformation capabilities, bringing extensive experience in AI, tech, and product management.