Altamira AI Legacy Modernization Framework on AWS

Altamira AI Legacy Modernization Framework on AWS helps companies modernize aging products without a risky big-bang rewrite. The service is designed for software that is hard to change, poorly documented, expensive to maintain, or blocked by technical debt, outdated frameworks, fragile integrations, and low test coverage.

• The engagement is powered by Altamira’s proprietary multi-agent engineering framework built on coding-capable models available through Amazon Bedrock. The framework supports engineers across the modernization lifecycle: codebase analysis, dependency mapping, architecture discovery, refactoring planning, documentation recovery, test generation, QA review, and modernization backlog creation. Altamira engineers stay in the loop to validate outputs, protect business-critical logic, and ensure production-safe delivery.
• We typically start with a focused assessment and proof of value, then move into incremental modernization sprints. Deliverables may include a technical debt map, modernization roadmap, refactoring backlog, regenerated technical documentation, automated regression/unit/integration tests, refactored modules, CI/CD readiness improvements, and a production rollout plan.
• The outcome is a safer and faster path to modernization: better test coverage, clearer documentation, reduced maintenance burden, more predictable releases, and an application that is easier to evolve, integrate, and prepare for AWS-native or AI-enabled functionality.

Key AWS services typically used: Amazon Bedrock for AI-assisted engineering workflows, Amazon S3 for secure project artifacts, and AWS CodeBuild / CodePipeline for CI/CD automation where required.