Case Study

How a DTC Leader Cut Migration Effort by 75% with AI-Led Refactoring from PHP to Java 

A global DTC leader needed to escape the limitations of a tightly coupled PHP monolith without disrupting operations. Using the OptimaAI SDLC Suite, we transformed their legacy system into modular, scalable Java microservices through GenAI-led refactoring and intelligent code decomposition. The result was a faster, more reliable modernization journey—built on automation, ready for growth, and free from the risks of manual rewrites.

June 24, 2025

Migration Efficiency
AI-Led Refactoring: Automated code transformation using GenAI, ASTs, and prompt chaining.
Modular Decomposition: Extracted clean service boundaries from tangled PHP code.
Faster Delivery: Accelerated migration timelines with minimal manual effort.

Business Value
Seamless Transition: Migrated to cloud-native Java microservices with no business disruption.
Better Maintainability: Decoupled architecture simplified future updates and releases.
Innovation Ready: Enabled faster feature rollouts via CI/CD integration.

Engineering Impact
High Code Accuracy: Intelligent validation reduced errors and rework.
Performance Boost: Event-driven architecture improved scalability and resilience.
DevOps Ready: CI/CD pipelines delivered out of the box.

Innovation Highlights
GenAI + AST Parsing: Combined syntax trees with AI for precise code generation.
RAG-Based Agents: Tailored migration logic using domain-aware prompts.
Cron to Events: Replaced legacy jobs with scalable, event-based flows.

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