All Technologies Used
Motivation
The founder used AI coding tools to move fast and validate the idea. But when the iOS team tried to build on top of the backend, the cracks appeared: business logic scattered across handlers, a recurring events system that broke on edge cases, and no error handling to speak of. The codebase had served its purpose as a prototype but could not carry a real product. Azati was brought in to stabilize it and take full engineering ownership going forward.
Main Challenges
The initial backend was written with heavy AI assistance and lacked consistent structure. Controllers mixed business logic with data access, modules had no clear separation of concerns, and the codebase had grown organically without a guiding architecture, making every new feature a risk.
The scheduling system, core to the product, had been partially generated by AI and partially patched manually. It failed silently on custom recurrence patterns, timezone edge cases, and override scenarios, causing incorrect reminders and lost user tasks.
Lambda functions failed without logging. DynamoDB errors surfaced as blank screens on mobile. There was no structured logging, no alerting, and no way to diagnose production issues without reproducing them locally, a critical gap for a live consumer product.
Our Approach
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Flexible Recurring Events Engine
- Custom recurrence patterns with override support
- Timezone-aware scheduling across user locations
- Filter-based event querying for mobile performance
Smart Maintenance Planning Algorithm
- Multi-factor personalization logic
- Workload balancing across months and seasons
- Extensible rule system for future property types
Production-Grade AWS Serverless Backend
- Clean NestJS module architecture
- Centralized error handling and structured logging
- DynamoDB access patterns optimized for mobile query shapes
Ongoing Engineering Partnership
- Active feature development and roadmap input
- Continuous system stability monitoring
- Direct collaboration with Product Manager and iOS leads
Business Value
Recurring events system: Zero reported failures after rebuild, previously the top source of user complaints and iOS team blockers.
Error visibility: Production issues now detected and diagnosed in under 15 minutes, compared to hours of manual reproduction before.
Feature velocity: iOS team unblocked, backend changes that previously took days to safely coordinate now ship in hours.
No rewrite required: Existing business logic preserved and stabilized, saving an estimated 3-4 months of redevelopment time.
Full engineering ownership: Azati owns the backend end-to-end, from architecture decisions to production incidents, with no dependency on the original AI-generated context.
