Untangling the Technical Debt of Hybrid Frameworks
For years, rapid iteration cycles drove engineering teams toward hybrid mobile frameworks. Speed to market often eclipsed raw execution speed. Swiggy began as a food delivery service with a native application footprint, but ancillary services like Instamart and grocery delivery alongside Dineout restaurant bookings initially scaled out as hybrid experiences. As transaction volume grew into the millions, the architectural tax came due.
According to Swiggy assistant vice president Tushar Tayal, scaling Instamart exposed severe performance bottlenecks. The hybrid architecture produced high page load times, severe app hangs when rendering large Stock Keeping Unit (SKU) lists, noticeable memory pressure, and choppy UI animations. Dineout faced similar roadblocks. Rich multimedia assets, including high-definition restaurant imagery and video feeds, routinely strained the hybrid rendering pipeline.
Furthermore, the engineering organization was blocked from accessing advanced platform-level optimizations. Complex transition animations powered by Core Animation and newer machine learning frameworks remained out of reach. To fix this, senior engineering manager Agam Mahajan spearheaded a pivot in early 2024. The team decided to sunset the hybrid stack for high-traffic discovery and quick commerce modules, rewriting them natively in Swift and SwiftUI.
Executing a Phased Native Migration Without Breaking Production
Rewriting an entire multi-vertical application from scratch is a notoriously dangerous anti-pattern in modern software engineering. Swiggy avoided this trap by eschewing a monolithic rewrite in favor of a surgical, targeted approach.
Engineering teams identified high-impact user journeys where latency directly harmed conversions. They started by rebuilding the Instamart and Dineout home and search interfaces. By leveraging a phased rollout strategy, engineers shipped these first native experiences within weeks while maintaining parallel support for legacy components.
This transition was not without friction. Engineer Aviral Garg noted that early design phases often stalled because the team leaned toward ideal, overly complex architectural implementations. They course-corrected by prioritizing iterative delivery—shipping functional, scalable native systems rapidly while coordinating closely to ensure feature parity across hybrid and native boundaries.
Design consistency was another major hurdle. Initially, teams simply replicated existing UI designs in native code. They later pivoted to embracing true native iOS design patterns with minimal adjustments. This shift drastically improved code reusability, accelerated development velocity, and preserved functional integrity across Swiggy Food, Instamart, and Dineout under a single, unified design system.
Translating Low-Level Optimization Into High-Level Business Metrics
The technical payoffs were immediate and measurable. Engineer Priyam Dutta observed that users instantly experienced faster load times, smoother scrolling, and fluid animations. These performance gains proved especially pronounced on older, resource-constrained mobile hardware.
Beyond raw rendering metrics, the move unlocked powerful new features leveraging modern iOS frameworks. The team integrated optical character recognition (OCR) directly into Dineout for menu searches, boosting conversion rates. They also implemented grocery list scanning for Instamart and utilized Apple Intelligence capabilities for item summarization and comparison.
Yet, the most unexpected development wasn’t technical at all; it was commercial. Engineer Shashwat KN noted that while the engineering group anticipated drops in crash rates and latency, the downstream business impact shocked the organization. Eliminating UI thread blockages and reducing main-thread CPU spikes triggered an unexpected, meaningful uptick in overall conversion rates and a sharp reduction in user bounce rates.
Designers, liberated from the constraints of hybrid rendering engines, began crafting far more complex and immersive discovery experiences. Community response mirrored these internal metrics. Users organically praised the fluid performance shifts across social media channels, validating that infrastructure-level refactoring directly influences customer retention and brand equity in the cutthroat quick-commerce market.
