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Agentic Codecraft: Transforming Systems from Within

Our consulting offering is a high-impact modernization service that helps organizations transform legacy .NET and Java applications into modern, secure, cloud-native solutions on AWS. Built on a proven delivery framework, the service leverages AWS Transform for .NET, Amazon Q Developer, and internal automation tools to intelligently assess, plan, and port applications to the latest runtimes. Whether modernizing to .NET or upgrading to Java frameworks like Spring Boot, our automation-driven approach accelerates traditionally months-long efforts into a matter of weeks. Amazon Q further enhances the process by auto-generating unit tests and documentation, ensuring strong test coverage and code quality. The result: faster modernization, lower costs, and quicker return on investment—without compromising business continuity or engineering standards.
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About

Our modernization service empowers organizations to eliminate legacy dependencies and reduce licensing costs by upgrading to the latest cross-platform .NET and Java runtimes—enabling containerized, cloud-native deployments on AWS. At the core is an agentic AI-powered approach that doesn't just automate tasks, but intelligently guides and collaborates with engineers throughout the transformation journey. By leveraging AWS Transform tools and Amazon Q Developer, the system proactively analyzes codebases, recommends migration strategies, auto-generates unit tests, and ensures compatibility with AWS-native services. Whether modernizing large monoliths or aging web apps, our solution delivers a structured, adaptive, and future-proof path to .NET 6/7/8 or modern Java frameworks—achieving faster outcomes, stronger test coverage, and cloud-readiness with minimal disruption.

Delivery Mechanism: We begin with a comprehensive discovery phase, assessing the customer’s .NET or Java codebase, dependencies, and infrastructure. For .NET, we leverage AWS Transform to automate large portions of the assessment, accelerating planning and identifying migration feasibility. For Java, we use Amazon Q Developer to analyze outdated components, identify modernization opportunities, and address test coverage gaps. Based on these insights, we define a tailored transformation roadmap, covering runtime upgrades, framework migrations, and modularization strategies. The transformation is executed in phases, using a flexible delivery model—either as a fully managed service or in a co-engineering model with in-house teams. Our engagements are time-boxed and milestone-driven, with clear success criteria such as test coverage, deployment readiness, and AWS environment validation.

Identify and Mitigate Risks: During the Discovery phase, we use AWS Transform for .NET and Amazon Q Developer for Java to assess compatibility, identify legacy API dependencies, and automate unit test generation. We validate changes through side-by-side testing and Git-based version control for rollback. Windows dependencies are replaced with cross-platform solutions like Kestrel, environment variables, or platform-agnostic logging. Code coverage is tracked, and components below 70% are flagged for attention. Our Risk Identification and Mitigation Process, aligned with the AWS Well-Architected Framework, identifies and addresses risks early, with a formal Risk Register reviewed weekly. For compliance-sensitive workloads (e.g., BFSI, Healthcare), we incorporate domain-specific controls like PCI DSS and HIPAA to ensure a secure and compliant transformation.

Secure AWS Accounts Governance: Our internal Security Standard Operating Procedures (SOPs) include a well-defined, repeatable process for governing AWS accounts, whether we manage customer-owned environments or provision accounts on their behalf. These practices are aligned with the AWS Startup Security Baseline and the AWS Well-Architected Framework - Security Pillar, ensuring robust security governance and compliance.

Security Controls: For long-running workloads (e.g., automation jobs), we require machine access to utilize IAM roles attached to EC2 instances or Lambda functions, avoiding the use of static credentials. In production environments, we enforce environmental isolation by leveraging AWS Organizations and resource-level tagging to segregate access based on organizational units (OUs) and teams. To ensure the principle of least privilege, IAM Access Analyzer is employed to analyze and generate permissions based on actual usage patterns, reducing security risks.

Governance and Feedback: Each customer engagement is assigned a dedicated Project Manager who serves as the Customer Advocate throughout the project. A governance calendar is created during the kickoff, outlining when and how feedback will be gathered. Regular meetings are structured to capture the Voice of the Customer, with specific focus on gathering feedback on modernization tools such as AWS Transform and Amazon Q, ensuring alignment with customer needs and continuous improvement

Our offering is ideal for:

Forgeahead .NET Agentic Transformation is ideal for organizations with a significant footprint in legacy .NET applications particularly .NET framework 3.5 or 4.x transition to cross-platform .NET on Linux-based environments to eliminate Windows licensing overhead.

Forgeahead Java Agentic Transformation is ideal for enterprises with small/Medium/large scale Java 7/8 or Legacy Frameworks (Struts, older Spring). Customers transitioning from Windows to Linux. Organizations moving from On-Prem to AWS Cloud. Security pressure due to deprecated Java versions or unsupported libraries.

Additionally, it addresses the needs of organizations facing compliance, supportability or security pressures due to deprecated frameworks and who require a structured, reliable and accelerated path to modernization on AWS.

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