Swiggy's Hybrid-to-Native Journey: How a Gradual Migration Drove Business Growth
Swiggy migrated Instamart and Dineout from hybrid to Swift/SwiftUI native, boosting performance and conversion rates.
Swiggy migrated its Instamart and Dineout business lines from hybrid to native Swift and SwiftUI, driven by slow loads, app freezes, and memory pressure at scale, as well as the desire to unify three product lines under one design system. The team used a gradual strategy, prioritizing high-traffic screens like home and search rather than doing a full rewrite. Improvements were most dramatic on older devices, and the migration unlocked features like OCR menu search, shopping list scanning, and Apple Intelligence product summaries. Most surprisingly, the performance gains directly lifted conversion rates and lowered bounce rates — and the key challenges included balancing execution speed with long-term architecture, maintaining feature parity during the transition, and shifting from replicating existing UI to embracing native design patterns.
India's leading instant commerce platform Swiggy started as an ordinary food delivery service, but has since expanded to cover everything from Instamart grocery delivery to Dineout restaurant reservations, serving millions of users. Swiggy made the decision to migrate several of its core business lines from a hybrid architecture to a fully native app built on Swift and SwiftUI. The transformation didn't just improve performance — it unexpectedly drove significant gains across key business metrics.
This article is based on Apple's official interview with Swiggy's iOS engineering team, offering a deep dive into the technical decisions, implementation approach, and lessons learned behind this native migration.
Why Swiggy Moved Away from Hybrid: The Performance Bottleneck
Swiggy's core food delivery product, Swiggy Food, had always been built natively. But Instamart and Dineout both started with hybrid architectures. As these two business lines scaled rapidly, the team began noticing clear technical limitations.
Senior Engineering Manager Agam Mahajan explained that it was the performance and stability issues exposed during scaling that convinced the team to commit to native development. Assistant Vice President Tushar Tayal outlined the specific pain points they experienced with the hybrid approach:
- Slow page loads: Instamart's product listing pages took too long to load
- App freezes: The app would hang when rendering large SKU lists
- Memory pressure: The hybrid solution consistently consumed excessive memory
- Inconsistent animations: Interactive animations were unreliable and uneven
- Limited content rendering: Dineout's high-quality restaurant photos and videos couldn't be properly showcased in a hybrid environment
Perhaps most critically, the hybrid architecture prevented the team from leveraging the latest native capabilities — such as advanced animations via Core Animation and integration with platform innovations like Apple Intelligence.
The Push for a Unified Design System
Beyond performance, Swiggy had an organizational goal: unifying Swiggy Food, Instamart, and Dineout under a single shared design system.
"In instant retail and product discovery, every second matters and every interaction counts," Tayal emphasized. "We needed tighter control over performance, reliability, and rendering. Going native allowed us to deliver faster, smoother, and more immersive experiences at scale."
The Gradual Migration Strategy: High-Impact Paths Over Full Rewrites
Swiggy's migration strategy is worth studying for any team grappling with similar technical debt — rather than pursuing a full rewrite all at once, the team focused on high-impact user journeys.
Mahajan explained that the first step was identifying the most critical user flows with the heaviest interaction volume, rather than recklessly restructuring the entire app. The team started by rebuilding the home and search experiences for Instamart and Dineout using Swift and SwiftUI.
From there, they proceeded in phases: the first set of native experiences launched within weeks, with broader migration following incrementally. This "small steps, fast feedback" approach kept risk under control while enabling continuous learning.
Early Wins from Going Native
Engineer Priyam Dutta described the changes users noticed immediately: faster load times, smoother scrolling, and more fluid animations. The app felt more responsive and reliable overall, with the most dramatic improvements on older devices — a particularly meaningful win in a market like India, where device fragmentation is extensive.
The rollout of a unified design system also made component reuse easier and created a more consistent experience across all three business lines. Going native also unlocked entirely new feature possibilities:
- OCR-powered menu search for Dineout: Improving conversion rates
- Shopping list scanning for Instamart: Streamlining the grocery flow
- Apple Intelligence-powered product summaries and comparisons: Making product discovery faster and more intuitive
The Biggest Surprise: Performance Gains That Moved Business Metrics
When asked about the most unexpected outcome from the entire process, Engineer Shashwat KN cut straight to the point:
"Honestly, the impact itself was the biggest surprise. We expected improvements in latency, performance, and crash rates — but what was truly impressive was the downstream effect on business metrics."
The team observed a significant increase in conversion rates and a notable drop in bounce rates — performance improvements translated directly into better business outcomes. This validated a pattern that's often underappreciated: in e-commerce and instant retail, technical performance and commercial results are tightly correlated.
Another unexpected benefit was the creative energy it unleashed across teams. Once designers knew they could rely on native capabilities, they started pushing for more engaging, more sophisticated interaction patterns.
Challenges and Hard-Won Lessons from the Migration
Engineer Aviral Garg candidly shared several major challenges encountered during the migration — insights that are highly valuable for any team planning an architectural transition.
Balancing Execution Speed with Long-Term Architecture
"One of the key challenges was finding the right balance between execution speed and long-term architectural decisions," Garg said. Early on, the team leaned toward pursuing "ideal" implementations, which slowed down delivery. They later shifted to prioritizing iterative delivery — moving fast while still building systems that could scale.
Maintaining Feature Parity During Migration
The team also had to maintain feature parity throughout the migration — continuing to ship new features in parallel while migrating existing ones. This required clear ownership boundaries and tight coordination between the hybrid and native systems running side by side.
From Replicating UI to Embracing Native Design Patterns
The evolution in design thinking was equally notable. The team initially tried to recreate the existing UI pixel-for-pixel in native, but eventually shifted to adopting native design patterns with targeted adjustments. This change improved component reusability, accelerated development, and preserved core functionality — reinforcing that going native isn't just a technical swap, it's an upgrade in design philosophy.
Takeaways: A Practical Methodology for Native Migration
Swiggy's experience surfaces an important insight: once a product reaches sufficient scale, the performance ceiling of a hybrid architecture can become a ceiling on growth itself — and the returns from going native often extend well beyond the technical, showing up directly in conversion rates, retention, and user ratings.
For teams weighing architectural decisions, Swiggy's gradual migration path — prioritizing high-value journeys, shipping in fast increments, and embracing native design patterns rather than mechanically replicating existing UI — offers a pragmatic and repeatable methodology worth following.
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