RepoMind AI

Modern backend systems are increasingly event-driven, distributed, and difficult for engineers to understand quickly. RepoMind AI demonstrates how IBM Bob can accelerate onboarding and improve developer productivity when working with a complex financial transaction system built using Kafka, CQRS, Drools, MongoDB, and PostgreSQL. The underlying backend processes POS transactions asynchronously, generates EMI and reward offers through a rule engine, and manages transaction state across multiple storage systems while maintaining resilience through DLQ handling and Saga-like timeout behavior. Using IBM Bob, developers can: • Understand architecture and transaction flow faster • Trace Kafka-based event pipelines • Explain business logic and Drools rules • Identify technical debt and risk areas • Generate comprehensive unit tests • Improve coverage and maintainability • Produce onboarding documentation automatically Instead of demonstrating AI on toy applications, RepoMind AI applies IBM Bob to a realistic distributed financial backend where complexity, scalability, and reliability matter. The goal is reducing developer onboarding time, improving code confidence, and accelerating iteration in production-style systems.