iOS Codebase Audit
for Startups
A senior Apple platform engineer reviews your iOS or macOS codebase in 5 business days. Architecture, data layer, Core ML readiness, performance, and App Store compliance. Written findings report, prioritized roadmap, and a 90-minute live walkthrough.
Timeline
5 business days
Deliverable
Report + roadmap
Walkthrough
90-min live session
Starting price
€1,440 / $1,500
No discovery call. Read-only access only. Fixed scope, fixed price.
Why Funded Startups Get iOS Codebase Audits
The trigger is almost always the same: feature velocity has slowed, and engineers are working around old decisions rather than extending them. A codebase audit surfaces the specific structural constraints causing that friction — and maps them to a prioritized remediation plan your next sprint cycle can absorb.
Before hiring more iOS engineers
Understand what they will inherit. Prevent new engineers from embedding existing structural debt further before it is resolved.
Before adding AI features
Core ML and Foundation Models require specific data model and concurrency patterns. The audit confirms whether the current architecture supports them or requires a refactor first.
Before a fundraise or acquisition
Technical due diligence from investors will surface structural issues anyway. An independent audit first gives you time to remediate rather than explain.
After unexplained performance regressions
Launch latency, memory pressure, and background crashes often originate in architectural decisions — not in the specific slow function. The audit finds the root cause.
What the Audit Covers
System architecture
Layer separation, module boundaries, dependency direction, structural patterns that create coupling or scaling bottlenecks.
Determines whether adding a new feature requires touching core data models, navigation, or shared utilities — the main cause of slow velocity.
Data layer and sync strategy
Core Data or SwiftData schema design, CloudKit sync configuration, conflict resolution, local-first vs cloud-first tradeoffs.
A poorly designed data model becomes exponentially harder to change as the feature set grows. Catches it before the next 10 features embed it further.
AI-native readiness
Whether the architecture can support Core ML or Apple Foundation Models without a structural rewrite — inference storage, background processing, deployment target constraints.
Prevents an expensive architectural rework when you're ready to ship AI features. The data model and concurrency patterns either support inference or they don't.
Performance and memory
Instruments profiling: main-thread blocking, launch latency, peak memory during model load, Neural Engine utilization.
Performance issues that appear in 1-star reviews often originate in architectural decisions — not in the specific slow function. The audit finds the root cause.
App Store compliance
Signing configuration, entitlement setup, target dependency structure, Review Guidelines risk areas, App Privacy Details declarations.
An App Store rejection during a product launch is expensive in time and credibility. These issues are detectable and preventable before submission.
Codebase structure
File organization, naming consistency, test coverage gaps, patterns that create onboarding friction or slow feature development.
When hiring more engineers, this directly determines ramp-up time and how long before new contributors can ship features independently.
Deliverables
How It Works — 5 Days
Access and intake
You grant read-only repository access and complete a short async intake form covering your app context, known concerns, and planned features. No discovery call required — the review begins immediately.
Architecture and data layer review
System architecture, SwiftUI view hierarchy and state management, data schema, sync strategy, and layer separation reviewed against production iOS engineering standards.
AI readiness and performance profiling
On-device AI integration assessment with Core ML and Foundation Models criteria. Instruments profiling for performance, memory pressure, and Neural Engine utilization.
App Store compliance and codebase structure
Signing, entitlements, target dependency structure, Review Guidelines risk areas, and overall codebase organization assessed and documented.
Report delivery and 90-minute live walkthrough
Full written report with prioritized findings delivered. Live session walks through each issue, implementation options, and the recommended next steps.
Who This Is For
Good fit
- ✓Funded startups with an existing iOS or Apple platform codebase
- ✓Teams preparing to scale the engineering team or hire more iOS engineers
- ✓Apps planning to add Core ML or Foundation Models AI features
- ✓Products with performance, sync, or architectural debt issues
- ✓Pre-acquisition or pre-fundraise technical due diligence
- ✓Founders who want an honest independent technical assessment
Not a fit
- —Idea stage with no existing codebase — start with the iOS MVP Sprint instead
- —Looking for ongoing hourly code review or consulting retainer
- —React Native, Flutter, or cross-platform projects
- —Projects needing the cheapest possible option
How This Compares to Alternatives
| Option | Timeline | Apple platform depth | Fixed deliverable |
|---|---|---|---|
| 3NSOFTS iOS Audit | 5 business days | Apple-native specialist | Yes — report + roadmap + walkthrough |
| Generalist agency | 2–4 weeks | Mixed — often not iOS-specialist | Typically not |
| Freelancer marketplace (Toptal, Upwork) | Depends on vetting | Variable — hard to verify before hiring | No standard deliverable |
| Cross-platform mobile team | 1–3 weeks | Limited — Android/web perspective | Varies |
| Hire FT senior iOS engineer | 2–3 months to audit quality | Deep — but expensive ramp | Ongoing — no defined deliverable |
Pricing
Covers codebases up to approximately 60,000 lines of Swift. Larger codebases or multi-target projects (iOS + macOS + watchOS) are scoped individually — apply with a brief description and receive a fixed quote within 1 business day.
No hourly billing. No scope creep. One fixed deliverable, one fixed timeline.
Common Questions
How do I get a senior iOS engineer to audit my startup's codebase?↓
Does my app need to be live on the App Store?↓
What do you need from me?↓
How is this different from a standard code review?↓
Can you audit a React Native or Flutter app?↓
Related Resources
Step-by-step: define scope, verify credentials, prepare access, review the report, act on findings.
iOS MVP SprintIf the audit reveals structural issues requiring a rebuild — production iOS app from zero in 6–8 weeks, fixed scope.
On-Device AI IntegrationAfter the audit confirms AI readiness — Core ML and Foundation Models integration in 3–4 weeks.
iOS Hiring ComparisonSpecialist vs freelancer vs generalist agency — when an audit is the right first step vs when you need to build.
Start the audit
Apply with a brief description of your app and your primary concerns. You’ll receive a fixed quote within 1 business day. The audit begins the same day read-only access is granted.
From €1,440. 5 business days. Read-only repository access only. No discovery call required.