How fast can the pod start?

Within 24 hours of greenlight after a 3-day free trial. The trial runs against a real scoped task, so you see the engineering depth before you sign anything. Replacement is free within 14 days if the fit is wrong.

Devlyn AI · Swift

Swift pods, owned by us. Embedded with you.

Senior Swift engineers under one retainer, with AI-augmented workflows that compress 100 hours of typical work to 25. Deployed in 24 hours.

Where $Swift fits

Swift pods typically ship iOS, iPadOS, macOS, watchOS, and visionOS apps with SwiftUI-first architecture for declarative UI across all Apple platforms, complex navigation patterns with NavigationStack and NavigationSplitView, server-side Swift with Vapor or Hummingbird for API backends that share models with client code, and increasingly visionOS spatial-computing apps with RealityKit and immersive experiences. Devlyn engineers ship Swift with SwiftUI-first architecture and UIKit bridging where needed, structured concurrency (async/await, TaskGroup, actor isolation) for safe concurrent operations, modern observation patterns (@Observable macro replacing ObservableObject), and comprehensive testing with XCTest and swift-testing — with App Store submission workflow including TestFlight distribution and review-guideline compliance.

AI-augmented Swift workflows lean on Cursor and Claude Code for SwiftUI view scaffolding with proper state management (@State, @Binding, @Environment), async/await handler stubs with proper error handling and task cancellation, navigation-pattern boilerplate with type-safe routing, Core Data and SwiftData model generation, and accessibility attribute scaffolding — all under senior validation that owns architecture decisions, lifecycle correctness review (task cancellation in disappearing views, proper actor isolation), memory management review for retain-cycle prevention, and Human Interface Guidelines compliance including accessibility, Dynamic Type support, and platform-appropriate interaction patterns. Compression shows up strongest in view scaffolding, data-model definitions, and test-case generation.

Swift engagements at Devlyn typically run as one senior mobile engineer plus shared DevOps for $5,000–$9,000/month, covering app architecture, SwiftUI implementation, and App Store submission pipeline. This scales to a two- or three-engineer pod when the roadmap ships across multiple Apple platforms simultaneously — typically iOS, macOS, and visionOS surfaces requiring dedicated attention for platform-specific interaction patterns and HIG compliance. Pods share a single retainer with flexible allocation across platforms.

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Where Swift pods land today

Six combinations that show up most often in the last few quarters of Swift discovery calls — vertical, geography, and the named-risk pattern each engagement designed around.

Swift · B2B SaaS · San Francisco

Swift for B2B SaaS in San Francisco

The most common 2026 B2B SaaS engineering trap is integration-first roadmaps that fragment the codebase into per-customer hacks and one-off webhook handlers, creating a maintenance debt spiral that slows all future feature work. Swift pods compress the work — swift pods typically ship ios, ipados, macos, watchos, and visionos apps with swiftui-first architecture for declarative ui across all apple platforms, complex navigation patterns with navigationstack and navigationsplitview, server-side swift with vapor or hummingbird for api backends that share models with client code, and increasingly visionos spatial-computing apps with realitykit and immersive experiences. On the Pacific (PT) calendar, fte hiring in sf has slowed structurally since 2024 layoffs but compensation expectations have not.

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Swift · Fintech · London

Swift for Fintech in London

The most common 2026 fintech engineering trap is shipping a feature that depends on a partner-bank integration that has not been contractually signed or technically certified, creating a rollback scenario that wastes months of engineering effort. Swift pods compress the work — swift pods typically ship ios, ipados, macos, watchos, and visionos apps with swiftui-first architecture for declarative ui across all apple platforms, complex navigation patterns with navigationstack and navigationsplitview, server-side swift with vapor or hummingbird for api backends that share models with client code, and increasingly visionos spatial-computing apps with realitykit and immersive experiences. On the GMT / BST calendar, london fte hiring runs 3–5 months for senior fintech and ai roles, with offers regularly contested by us tech giants opening uk offices.

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Swift · Healthtech · Boston

Swift for Healthtech in Boston

The most common 2026 healthtech engineering trap is shipping a clinical feature that has not been reviewed against HIPAA BAA requirements or FDA SaMD classification boundaries, creating regulatory exposure that can halt the entire product. Swift pods compress the work — swift pods typically ship ios, ipados, macos, watchos, and visionos apps with swiftui-first architecture for declarative ui across all apple platforms, complex navigation patterns with navigationstack and navigationsplitview, server-side swift with vapor or hummingbird for api backends that share models with client code, and increasingly visionos spatial-computing apps with realitykit and immersive experiences. On the Eastern (ET) calendar, boston fte pipelines run 4–6 months for senior backend roles.

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Swift · Edtech · New York

Swift for Edtech in New York

The most common 2026 edtech engineering trap is shipping a feature that depends on a Google Classroom or Canvas LTI integration requiring school-district admin approval that the customer has not secured, creating a deployment blocker after engineering work is complete. Swift pods compress the work — swift pods typically ship ios, ipados, macos, watchos, and visionos apps with swiftui-first architecture for declarative ui across all apple platforms, complex navigation patterns with navigationstack and navigationsplitview, server-side swift with vapor or hummingbird for api backends that share models with client code, and increasingly visionos spatial-computing apps with realitykit and immersive experiences. On the Eastern (ET) calendar, fte-only paths to scale engineering in nyc routinely run 2–3 quarters behind the roadmap.

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Swift · B2B SaaS · Austin

Swift for B2B SaaS in Austin

The most common 2026 B2B SaaS engineering trap is integration-first roadmaps that fragment the codebase into per-customer hacks and one-off webhook handlers, creating a maintenance debt spiral that slows all future feature work. Swift pods compress the work — swift pods typically ship ios, ipados, macos, watchos, and visionos apps with swiftui-first architecture for declarative ui across all apple platforms, complex navigation patterns with navigationstack and navigationsplitview, server-side swift with vapor or hummingbird for api backends that share models with client code, and increasingly visionos spatial-computing apps with realitykit and immersive experiences. On the Central (CT) calendar, austin fte hiring competes with the influx of sf migrants on compensation.

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Swift · Marketplace · Tel Aviv

Swift for Marketplace in Tel Aviv

The most common 2026 marketplace engineering trap is building trust-and-safety features reactively after a fraud incident or policy violation rather than proactively designing detection and enforcement systems before scale arrives. Swift pods compress the work — swift pods typically ship ios, ipados, macos, watchos, and visionos apps with swiftui-first architecture for declarative ui across all apple platforms, complex navigation patterns with navigationstack and navigationsplitview, server-side swift with vapor or hummingbird for api backends that share models with client code, and increasingly visionos spatial-computing apps with realitykit and immersive experiences. On the Israel (IST, UTC+2/+3) calendar, tel aviv fte pipelines run 3–5 months for senior backend roles.

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What Swift depth at Devlyn looks like

Common use cases

AI-augmented angle

Engagement shape & pricing

Ecosystem fluency

Swift ecosystem depth covers the full modern surface: SwiftUI for declarative UI across all Apple platforms, UIKit for legacy and complex custom rendering, Combine for reactive programming, async/await and TaskGroup for structured concurrency, SwiftData for modern persistence (replacing Core Data), Core Data for legacy persistence with CloudKit sync, RealityKit for visionOS spatial computing, Vapor and Hummingbird for server-side Swift, XCTest and swift-testing for unit and integration testing, swift-snapshot-testing for visual regression, and TCA (The Composable Architecture) for unidirectional data flow. Devlyn engineers operate fluently across this entire surface with production-hardened patterns for Apple platform development.

Real outcomes

Calenso · Switzerland

4× productivity

5,000+ integrations on the platform after AI-augmented engineering replaced manual workflows.

Creator.ai

6 weeks → 1 week

6× faster delivery, 2× output per engineer, 50% leaner team.

Klaviss · USA

$4,800/mo pod

Two engineers + PM + shared DevOps. Real-estate platform overhaul shipped in 8 weeks.

Haxi.ai · Middle East

AI engagement at scale

Real-time, context-aware AI conversations across platforms — spec to production by one pod.

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Verticals where Swift ships well

Swift pods most often run engagements in the verticals below. Each links through to a vertical-level hub with named risks, compliance posture, and key metrics.

Metros where Swift pods deploy

Hand-picked cities where Swift engagements show up most. Each city has its own time-zone alignment and hiring-climate notes on the metro hub.

Common questions about Swift engagements

What does a Swift pod actually own end-to-end?

Architecture, security review, and the Swift-specific patterns that production-grade work requires. Swift pods typically ship iOS, iPadOS, macOS, watchOS, and visionOS apps with SwiftUI-first architecture for declarative UI across all Apple platforms, complex navigation patterns with NavigationStack and NavigationSplitView, server-side Swift with Vapor or Hummingbird for API backends that share models with client code, and increasingly visionOS spatial-computing apps with RealityKit and immersive experiences. Devlyn engineers ship Swift with SwiftUI-first architecture and UIKit bridging where needed, structured concurrency (async/await, TaskGroup, actor isolation) for safe concurrent operations, modern observation patterns (@Observable macro replacing ObservableObject), and comprehensive testing with XCTest and swift-testing — with App Store submission workflow including TestFlight distribution and review-guideline compliance.
How does AI-augmented Swift differ from a single contractor using AI tools?

AI-augmented Swift workflows lean on Cursor and Claude Code for SwiftUI view scaffolding with proper state management (@State, @Binding, @Environment), async/await handler stubs with proper error handling and task cancellation, navigation-pattern boilerplate with type-safe routing, Core Data and SwiftData model generation, and accessibility attribute scaffolding — all under senior validation that owns architecture decisions, lifecycle correctness review (task cancellation in disappearing views, proper actor isolation), memory management review for retain-cycle prevention, and Human Interface Guidelines compliance including accessibility, Dynamic Type support, and platform-appropriate interaction patterns. Compression shows up strongest in view scaffolding, data-model definitions, and test-case generation. The 4× compression comes from pod-level workflow design, not from individual tool adoption.
What does a Swift engagement typically cost?

Swift engagements at Devlyn typically run as one senior mobile engineer plus shared DevOps for $5,000–$9,000/month, covering app architecture, SwiftUI implementation, and App Store submission pipeline. This scales to a two- or three-engineer pod when the roadmap ships across multiple Apple platforms simultaneously — typically iOS, macOS, and visionOS surfaces requiring dedicated attention for platform-specific interaction patterns and HIG compliance. Pods share a single retainer with flexible allocation across platforms.
Which Swift ecosystem libraries does Devlyn cover?

Swift ecosystem depth covers the full modern surface: SwiftUI for declarative UI across all Apple platforms, UIKit for legacy and complex custom rendering, Combine for reactive programming, async/await and TaskGroup for structured concurrency, SwiftData for modern persistence (replacing Core Data), Core Data for legacy persistence with CloudKit sync, RealityKit for visionOS spatial computing, Vapor and Hummingbird for server-side Swift, XCTest and swift-testing for unit and integration testing, swift-snapshot-testing for visual regression, and TCA (The Composable Architecture) for unidirectional data flow. Devlyn engineers operate fluently across this entire surface with production-hardened patterns for Apple platform development.
How fast can the pod start?

Within 24 hours of greenlight after a 3-day free trial. The trial runs against a real scoped task, so you see the engineering depth before you sign anything. Replacement is free within 14 days if the fit is wrong.

When the next move is a conversation

Book a 30-minute discovery call. We will scope a Swift pod against your roadmap and timeline. No contracts. No commitment. Or run the Pod ROI Calculator against your current vendor's burn first.