Novamind
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Novamind
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Sep 27, 2024
Legacy
Agentic Application Modernization

Problem
Legacy applications often become bottlenecks for growth. Maintaining outdated codebases is costly, slows down development, and prevents companies from taking advantage of modern cloud and AI-native architectures. Manual QA, lack of documentation, and technical debt make updates risky and error-prone. This limits product innovation and increases long-term costs.



Our role
Solution
NovaMind applies agentic development techniques to refactor, migrate, and upgrade legacy systems using AI. We automate code reviews, apply AI-based refactoring patterns, and integrate modern dev workflows (CI/CD, testing, monitoring). We also support full or partial migration to cloud environments while improving maintainability.
Impact
– 60% reduction in QA-related bugs
– Legacy system migrated in <45 days
– Delivery velocity doubled for new features
Problem
Legacy applications often become bottlenecks for growth. Maintaining outdated codebases is costly, slows down development, and prevents companies from taking advantage of modern cloud and AI-native architectures. Manual QA, lack of documentation, and technical debt make updates risky and error-prone. This limits product innovation and increases long-term costs.

Our role
Solution
NovaMind applies agentic development techniques to refactor, migrate, and upgrade legacy systems using AI. We automate code reviews, apply AI-based refactoring patterns, and integrate modern dev workflows (CI/CD, testing, monitoring). We also support full or partial migration to cloud environments while improving maintainability.
Impact
– 60% reduction in QA-related bugs
– Legacy system migrated in <45 days
– Delivery velocity doubled for new features