AI-Native App Architecture Audit
A senior technical review of your iOS or Apple platform codebase — architecture, data layer, AI readiness, performance risks, and App Store compliance. Delivered in 5 business days as a written report with a live walkthrough.
Timeline
5 business days
Deliverable
Technical report + roadmap
Walkthrough
90-min live session
Investment
From €1,440
Audit Baseline
Findings are mapped against Apple's own references: SwiftData, CloudKit, App Store Review Guidelines, and App Privacy Details. The audit is not generic best-practice advice; it checks how your codebase lines up with the documented Apple platform constraints you eventually have to ship under.
What the audit covers
Every audit covers the full system — not just the code, but the decisions that shape how the code evolves. The output is a prioritized findings report that distinguishes structural risks from code-quality issues.
System architecture
Layer separation, module boundaries, dependency direction, and structural patterns that create coupling or scaling constraints.
Data layer and sync strategy
Core Data or SwiftData schema design, CloudKit sync configuration, conflict resolution strategy, and local-first vs cloud-first tradeoffs.
AI readiness
Evaluation of the codebase against on-device AI integration requirements — Core ML model storage, inference result persistence, background processing, and Foundation Models compatibility.
Performance and memory
Profiling with Xcode Instruments to identify memory pressure, main-thread blocking, launch latency, and Neural Engine utilization gaps.
App Store compliance
Static review of signing configuration, entitlement setup, Watch/Widget target dependencies, App Store Review Guidelines risk areas, and privacy disclosures expected by Apple's App Privacy Details flow.
Codebase structure
File organization, naming consistency, test coverage gaps, and patterns that create onboarding friction or slow feature development.
How it works
Codebase access and intake
Read-only repo access and a short async intake form. No discovery call required — the audit begins the same day.
Architecture and data layer review
System architecture, state management, data schema, sync strategy, and layer separation reviewed against production iOS engineering standards.
AI readiness and performance analysis
On-device AI integration assessment using Core ML and Apple Foundation Models criteria. Instruments profiling for performance and memory.
App Store compliance check
Signing, entitlements, target structure, and Review Guidelines risk areas reviewed before they cause a rejection cycle.
Report delivery and 90-minute walkthrough
Written report with prioritized findings on day 5. Live session to walk through each issue, discuss implementation options, and answer questions.
Who this is for
Good fit
- ✓Teams with an existing iOS/Apple platform codebase
- ✓Funded startups preparing to scale their engineering team
- ✓Products planning on-device AI integration
- ✓Apps with performance, sync, or scaling issues
- ✓Pre-acquisition technical due diligence
Not a fit
- —Idea stage with no existing code — start with the MVP Sprint
- —Looking for ongoing hourly code review
- —React Native or cross-platform projects
Common questions
Does my app need to be on the App Store?↓
What do you need from me to start?↓
How is this different from a code review?↓
What is AI readiness evaluation?↓
Other services
Ready to audit your iOS architecture?
Apply with a brief description of your app and the issues you're trying to solve. Audit starts within 1 business day of codebase access.