⬡ Dev Tools/2026-03-26Advanced

Rork Max × visionOS Spatial Computing App Development Guide— Build Vision Pro Apps with AI

A comprehensive guide to building visionOS spatial computing apps with Rork Max. Learn RealityKit, Immersive Spaces, 3D content placement, and hand tracking implementation patterns with full code examples.

rork-max⁴⁰ visionos vision-pro spatial-computing realitykit swiftui¹¹ 3d arkit

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Why visionOS Development Matters Now

Apple Vision Pro has opened a new frontier in spatial computing. As of 2026, the visionOS ecosystem is growing rapidly, with spatial-first apps appearing on the App Store at an accelerating pace.

However, building for visionOS is fundamentally different from traditional iOS or macOS development. You need to design UI in 3D space, render content with RealityKit, and handle entirely new input models like hand gestures and eye tracking.

Rork Max generates native Swift code through AI-driven prompts. For visionOS apps built on SwiftUI + RealityKit, this means you can go from spatial experience design to working implementation efficiently — letting the AI handle the boilerplate while you focus on the experience.

Who this is for: Developers with SwiftUI experience who have built at least one iOS app with Rork Max

Prerequisites:

Rork Max Plan ($200/month)
Xcode 16+ with the visionOS SDK
Apple Vision Pro device or Simulator

Understanding visionOS App Architecture

Three Scene Types: Windows, Volumes, and Immersive Spaces

visionOS apps are composed of three scene types. Understanding these distinctions is the first step in spatial app design.

Scene Type	Characteristics	Best For
Window	Flat 2D window, similar to traditional iOS apps	Settings, lists, text-heavy UI
Volume	A bounded box containing 3D content	3D model viewers, interactive objects
Immersive Space	Uses the full space around the user	AR experiences, spatial games, virtual exhibitions

When creating a project in Rork Max, explicitly state which scene types you need in your prompt. This helps the AI generate the right architectural foundation.

// visionOS app entry point
// Window + Immersive Space combination pattern
 
import SwiftUI
 
@main
struct SpatialGalleryApp: App {
    @State private var immersionStyle: ImmersionStyle = .mixed
 
    var body: some Scene {
        // Main window (2D UI)
        WindowGroup {
            ContentView()
        }
 
        // Immersive space (3D experience)
        ImmersiveSpace(id: "gallerySpace") {
            ImmersiveGalleryView()
        }
        .immersionStyle(selection: $immersionStyle, in: .mixed, .full)
    }
}
// Expected behavior:
// - App launches with a 2D window
// - User action transitions to the immersive space

Project Setup in Rork Max

To generate a visionOS project with Rork Max, use structured prompts like this:

Create a visionOS app with:
- A main window showing a gallery grid of 3D art pieces
- A volumetric view for previewing selected art in 3D
- An immersive space for the full exhibition experience
- Hand gesture support for rotating and scaling 3D objects
- Spatial audio tied to each art piece location
Target: visionOS 2.0+, Swift 6, SwiftUI + RealityKit

The key is specifying the purpose of each scene type and the interaction model. Vague prompts tend to produce flat, window-only apps that don't take advantage of spatial capabilities.

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What follows includes implementation code, benchmarks, and practical content we hope you'll find useful. This site runs without ads — server and development costs are supported entirely by members like you. If it's been helpful, we'd be truly grateful for your support.

WHAT YOU'LL LEARN

✦Understand the full workflow from visionOS project setup in Rork Max to App Store submission

✦Master RealityKit and Immersive Space implementation patterns for 3D content placement and spatial UI

✦Learn hands-on techniques for hand tracking, eye input, and spatial audio — interactions unique to Vision Pro

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3D Content Placement with RealityKit

The Entity-Component-System (ECS) Architecture

RealityKit uses the Entity-Component-System (ECS) pattern. Every 3D object is an Entity, and you attach Components to define its behavior and appearance.

import RealityKit
import RealityKitContent
 
struct ImmersiveGalleryView: View {
    @State private var artPieces: [ArtPiece] = []
 
    var body: some View {
        RealityView { content in
            // Set up environment lighting
            let environment = try? await EnvironmentResource(
                named: "gallery_lighting"
            )
            if let env = environment {
                content.add(env)
            }
 
            // Arrange 3D models in a circle
            for (index, piece) in artPieces.enumerated() {
                let angle = Float(index) / Float(artPieces.count)
                    * 2 * .pi
                let radius: Float = 3.0
 
                let entity = try? await Entity(
                    named: piece.modelName,
                    in: realityKitContentBundle
                )
                if let model = entity {
                    model.position = SIMD3<Float>(
                        cos(angle) * radius,
                        1.5,  // Position at eye level
                        sin(angle) * radius
                    )
                    // Rotate to face center
                    model.look(
                        at: SIMD3<Float>(0, 1.5, 0),
                        from: model.position,
                        relativeTo: nil
                    )
                    // Enable tap interaction
                    model.components.set(
                        InputTargetComponent()
                    )
                    model.components.set(
                        CollisionComponent(
                            shapes: [.generateBox(
                                size: [0.5, 0.5, 0.5]
                            )]
                        )
                    )
                    content.add(model)
                }
            }
        }
        .gesture(tapGesture)
    }
 
    // Tap gesture for 3D entities
    private var tapGesture: some Gesture {
        SpatialTapGesture()
            .targetedToAnyEntity()
            .onEnded { value in
                let entity = value.entity
                // Play selection animation
                playSelectionAnimation(on: entity)
            }
    }
 
    private func playSelectionAnimation(on entity: Entity) {
        // Scale animation
        var transform = entity.transform
        transform.scale = SIMD3<Float>(repeating: 1.3)
        entity.move(
            to: transform,
            relativeTo: entity.parent,
            duration: 0.3,
            timingFunction: .easeInOut
        )
        // Reset after 0.3 seconds
        Task {
            try? await Task.sleep(for: .seconds(0.3))
            transform.scale = SIMD3<Float>(repeating: 1.0)
            entity.move(
                to: transform,
                relativeTo: entity.parent,
                duration: 0.3,
                timingFunction: .easeInOut
            )
        }
    }
}
// Expected behavior:
// - 3D models are arranged in a circle within the immersive space
// - Each model faces the center and plays a selection animation on tap

Working with Reality Composer Pro

For managing 3D assets, Reality Composer Pro is essential. In Rork Max projects, assets are managed as a RealityKitContent package bundle.

// Load a scene created in Reality Composer Pro
let sceneEntity = try await Entity(
    named: "GalleryScene",
    in: realityKitContentBundle
)
// Find a specific entity within the scene
if let pedestal = sceneEntity.findEntity(named: "Pedestal") {
    pedestal.components.set(
        HoverEffectComponent()  // Visual feedback on gaze hover
    )
}
// Expected behavior:
// - The scene designed in Reality Composer Pro loads as-is
// - The Pedestal entity shows a hover effect when the user looks at it

Hand Tracking and Spatial Gestures

ARKit Hand Tracking API

Hand tracking is the signature input method on Vision Pro. To access raw hand data, use ARKit's Hand Tracking Provider.

import ARKit
 
class HandTrackingManager: ObservableObject {
    private let session = ARKitSession()
    private let handTracking = HandTrackingProvider()
 
    @Published var leftHandPosition: SIMD3<Float>?
    @Published var rightHandPosition: SIMD3<Float>?
    @Published var isPinching: Bool = false
 
    func startTracking() async {
        // Check hand tracking authorization
        guard HandTrackingProvider.isSupported else {
            print("Hand tracking is not supported")
            return
        }
 
        do {
            try await session.run([handTracking])
        } catch {
            print("Failed to start hand tracking: \(error)")
            return
        }
 
        // Monitor hand anchor updates in real time
        for await update in handTracking.anchorUpdates {
            let hand = update.anchor
 
            guard hand.isTracked else { continue }
 
            // Get wrist position
            if let wrist = hand.skeleton.joint(.wrist) {
                let position = hand.originFromAnchorTransform
                    * wrist.anchorFromJointTransform
 
                let worldPos = SIMD3<Float>(
                    position.columns.3.x,
                    position.columns.3.y,
                    position.columns.3.z
                )
 
                await MainActor.run {
                    switch hand.chirality {
                    case .left:
                        self.leftHandPosition = worldPos
                    case .right:
                        self.rightHandPosition = worldPos
                    }
                }
            }
 
            // Detect pinch gesture
            // Based on distance between thumb tip and index finger tip
            if let thumbTip = hand.skeleton.joint(.thumbTip),
               let indexTip = hand.skeleton.joint(
                   .indexFingerTip
               ) {
                let thumbPos = hand.originFromAnchorTransform
                    * thumbTip.anchorFromJointTransform
                let indexPos = hand.originFromAnchorTransform
                    * indexTip.anchorFromJointTransform
 
                let distance = simd_distance(
                    SIMD3<Float>(
                        thumbPos.columns.3.x,
                        thumbPos.columns.3.y,
                        thumbPos.columns.3.z
                    ),
                    SIMD3<Float>(
                        indexPos.columns.3.x,
                        indexPos.columns.3.y,
                        indexPos.columns.3.z
                    )
                )
 
                await MainActor.run {
                    self.isPinching = distance < 0.02
                    // Pinch detected when distance < 2cm
                }
            }
        }
    }
}
// Expected behavior:
// - Left and right hand positions update in real time
// - isPinching becomes true when thumb and index finger are within 2cm

Combining with SwiftUI Gestures

For entity interactions within a RealityView, SwiftUI gesture modifiers offer the cleanest approach.

struct InteractiveModelView: View {
    @State private var rotation: Rotation3D = .identity
    @State private var scale: Double = 1.0
 
    var body: some View {
        RealityView { content in
            if let model = try? await Entity(
                named: "ProductModel",
                in: realityKitContentBundle
            ) {
                model.components.set(InputTargetComponent())
                model.components.set(
                    CollisionComponent(
                        shapes: [.generateConvex(
                            from: model
                        )]
                    )
                )
                content.add(model)
            }
        }
        // Rotation gesture
        .gesture(
            RotateGesture3D()
                .targetedToAnyEntity()
                .onChanged { value in
                    let entity = value.entity
                    entity.orientation = simd_quatf(
                        value.rotation
                    )
                }
        )
        // Pinch-to-scale gesture
        .gesture(
            MagnifyGesture()
                .targetedToAnyEntity()
                .onChanged { value in
                    let entity = value.entity
                    let newScale = Float(
                        max(0.5, min(3.0, value.magnification))
                    )
                    entity.scale = SIMD3<Float>(
                        repeating: newScale
                    )
                }
        )
    }
}
// Expected behavior:
// - 3D model rotates with two-hand rotation gestures
// - Pinch in/out scales the model between 0.5x and 3.0x

Implementing Spatial Audio

Vision Pro's spatial audio engine reproduces natural 3D sound based on source positions in space. With RealityKit's audio components, you simply attach a sound source to an entity to get spatial audio working.

func attachSpatialAudio(
    to entity: Entity,
    audioFile: String
) async {
    // Load spatial audio resource
    guard let resource = try? await AudioFileResource(
        named: audioFile,
        configuration: AudioFileResource.Configuration(
            shouldLoop: true,
            shouldRandomizeStartTime: false
        )
    ) else {
        print("Failed to load audio: \(audioFile)")
        return
    }
 
    // Configure spatial audio component
    let audioSource = Entity()
    audioSource.spatialAudio = SpatialAudioComponent(
        directivity: .beam(focus: 0.5)
        // Directivity: beam focuses sound in a specific direction
    )
    audioSource.spatialAudio?.gain = -10  // Volume in dB
 
    entity.addChild(audioSource)
 
    // Start playback
    audioSource.playAudio(resource)
}
// Expected behavior:
// - Spatial audio plays based on the entity's position
// - Volume increases as the user moves closer, decreases when moving away
// - Directivity settings make sound loudest from the front

Performance Optimization Best Practices

visionOS apps run in real time. Frame rate drops cause discomfort (VR sickness), so performance optimization is critical.

3D Asset Optimization Checklist

Item	Recommended Value	Reason
Polygon count (per scene)	Under 100,000	Reduce GPU load
Texture size	Max 2048×2048	Limit memory consumption
LOD (Level of Detail)	3+ levels	Adjust draw calls by distance
Animation keyframes	30fps	Prevent interference with 60fps rendering

Memory Management and Entity Lifecycle

class SceneManager: ObservableObject {
    private var loadedEntities: [String: Entity] = [:]
    private let maxCachedEntities = 20
 
    /// Lazy-load entities with LRU cache
    func loadEntity(named name: String) async -> Entity? {
        // Return from cache if available
        if let cached = loadedEntities[name] {
            return cached.clone(recursive: true)
        }
 
        // Load fresh
        guard let entity = try? await Entity(
            named: name,
            in: realityKitContentBundle
        ) else {
            return nil
        }
 
        // Evict oldest entry if cache is full
        if loadedEntities.count >= maxCachedEntities {
            let oldest = loadedEntities.keys.first!
            loadedEntities.removeValue(forKey: oldest)
        }
        loadedEntities[name] = entity
 
        return entity.clone(recursive: true)
    }
 
    /// Clean up on scene transitions
    func clearScene(content: RealityViewContent) {
        content.entities.forEach { entity in
            entity.removeFromParent()
        }
        // Clear entity cache as well
        loadedEntities.removeAll()
    }
}
// Expected behavior:
// - 3D models managed via LRU cache, keeping memory usage bounded
// - Entities and cache properly cleaned up on scene transitions

Profiling with Instruments

After opening your Rork Max-generated project in Xcode, use the RealityKit Trace template in Instruments to profile:

Render Time: Per-frame rendering duration (target: under 16.6ms)
Entity Count: Active entities in the scene
Texture Memory: Memory consumed by textures
Physics Simulation: Processing time for physics calculations

Maintaining a stable 90fps is the minimum bar for a comfortable spatial experience. If you see frequent frame drops, start by reducing polygon counts and compressing textures — these typically yield the biggest gains.

Prompt Engineering Tips for visionOS in Rork Max

Getting the best results from Rork Max for visionOS apps comes down to how you write your prompts.

Describing Spatial Layouts in Text

3D layouts are hard to communicate in text alone. Be explicit about the coordinate system (X: left/right, Y: up/down, Z: forward/back) and describe spatial relationships with numbers.

Place the main control panel as a Window 1.5 meters
in front of the user at eye level (Y=1.6m).
Add a Volume with a 3D globe model 0.8 meters
to the right of the panel.
The immersive space should display a starfield
environment at 10 meters distance in all directions.

Specifying Interaction Behavior

When the user looks at a planet entity for 1.5 seconds,
show a tooltip Window anchored 20cm above the entity.
When the user pinches the planet,
start a rotation animation at 10 degrees/second.
Two-hand scale gesture should resize between 0.3x and 5.0x.

By specifying trigger conditions, actions, and numerical parameters, you dramatically increase the likelihood that the AI generates the exact interaction you intended.

A Note from an Indie Developer

Key Takeaways

Building spatial computing apps for visionOS demands a different skillset from traditional mobile development. But with Rork Max's AI code generation, you can skip much of the SwiftUI + RealityKit boilerplate and focus on what matters — designing the experience and building your business logic.

Here are the key takeaways from this guide:

Use the three visionOS scene types (Window, Volume, Immersive Space) intentionally based on your app's needs
Understand RealityKit's ECS architecture and compose Entity functionality through Components
Combine hand tracking with SwiftUI gestures for intuitive spatial interactions
Use spatial audio to create a genuinely immersive sense of presence
Prioritize performance optimization to maintain a stable 90fps

The spatial computing market is still in its early stages, and getting in now gives you a real first-mover advantage. Start with a simple Volume app, then progressively add Immersive Space features as you gain confidence with the platform.

Thank You for Reading

Rork Lab is ad-free, supported entirely by members like you. We publish practical guides daily with implementation code, benchmarks, and production-ready patterns. If you've found it useful, we'd love to have you on board.