About
MobiDev implemented an AI-driven Software Development Life Cycle (SDLC) framework to modernize a legacy retail operations platform. By integrating AI coding assistants and automated workflows into existing pipelines, the project accelerated feature delivery and streamlined code refactoring. The solution optimized engineering efficiency while preserving complex legacy business logic and ensuring platform stability.
Challenge, approach, and impact
Modernizing Legacy Codebases Without Disruption
The client relied on a complex legacy retail operations platform that accumulated significant technical debt over years of continuous use. Accelerating development through traditional refactoring posed high operational risks and long development cycles. The primary challenge was integrating AI-assisted workflows into the established engineering process to increase velocity and maintain strict compliance with legacy business rules without causing system downtime.
How we built
Testimonials
Anonymous
“Integrating AI into an enterprise SDLC isn't just about giving developers a code-completion tool; it's about fundamentally redesigning the workflow to handle legacy technical debt safely. For this retail platform, our main focus was ensuring that AI-generated suggestions strictly adhered to the deep-seated business rules already built into the system. By combining automated prompt strategies with rigorous peer reviews and automated testing, we transformed a slow, high-risk refactoring process into an agile, highly predictable engineering engine.“
Team structure
Client team
Tom
CEO
The client stakeholders were working closely with the team at MobiDev
Agency team
Backend Developer
Production
Frontend Developer
Production
QA Engineer
Production
Project Manager
Governance
