75% Less Migration Effort.
97% Migration Completeness.
10 Days → 2.5 Days.
The Scale of the Challenge
Tens of Thousands
of Lines of Entangled PHP
A monolith where UI, business logic, and data layers were deeply intertwined. Isolating services or shipping changes meant risking regressions across the entire system.
~55%
Completeness via Manual Methods
Early manual migration prototypes achieved roughly 55% completeness per module. The remaining gaps required rework, re-testing, and constant oversight, with no consistency across modules.
10 Days
per Module, on Average
Each module migration took around 10 days using conventional approaches, with timelines stretching further as complexity grew and quality varied.
The Architecture Had Become the Bottleneck
The platform was doing its job. But the monolith underneath couldn’t support what came next, every new feature meant rework across tightly coupled layers, slowing release cycles and making CI/CD integration harder with each iteration. Moving to Java microservices was the clear next step. But doing it manually meant months of engineering effort, inconsistent output across modules, and no reliable way to maintain code quality at scale. The team needed a migration approach that could move faster without trading speed for accuracy.
How AI Cut Module Migration from 10 Days to 2.5
Full breakdown in the case study.
