Built a mobile app with GitHub Copilot?
We'll make it production-ready.
Mobile apps live on someone's phone — the most personal device they own. Users expect instant load times, smooth animations, offline support, and zero crashes. AI tools can scaffold a mobile UI fast, but the gap between a working prototype and an app that survives App Store review, handles spotty network connections, and doesn't drain the battery is where most AI-built mobile apps fail.
Mobile App challenges in GitHub Copilot apps
Building a mobile app with GitHub Copilot is a great start — but these challenges need attention before launch.
App Store and Play Store approval
Apple and Google have strict review guidelines covering permissions, privacy policies, content ratings, and technical requirements. AI-generated apps frequently get rejected for missing privacy disclosures, requesting unnecessary permissions, or failing to handle edge cases that reviewers specifically test for.
Offline functionality and network handling
Mobile users lose connectivity constantly — in elevators, on subways, in rural areas. AI tools build apps that assume a constant internet connection. Without offline caching, request queuing, and graceful degradation, your app shows blank screens or crashes when the network drops.
Device fragmentation and screen sizes
Your app needs to work on hundreds of different devices — from small Android phones to large tablets, with notches, punch-holes, and different aspect ratios. AI-generated layouts often break on devices other than the one used during development.
Performance and battery drain
Mobile users notice when an app drains their battery or feels sluggish. Unoptimized rendering, excessive API polling, background processes that never stop, and memory leaks are common in AI-generated mobile code. These issues cause uninstalls faster than missing features.
Push notifications
Setting up push notifications requires server-side infrastructure, device token management, platform-specific configuration (APNs for iOS, FCM for Android), and proper permission handling. AI tools generate a basic notification call but skip the entire delivery pipeline.
Secure local storage
Mobile apps store auth tokens, user preferences, and cached data on-device. AI tools often use insecure storage methods (plain shared preferences or AsyncStorage) instead of encrypted keystores. Anyone with physical access to the device could extract sensitive data.
What we check in your GitHub Copilot mobile app
Common GitHub Copilot issues we fix
Beyond mobile app-specific issues, these are GitHub Copilot patterns we commonly fix.
Insecure code patterns from training data
Copilot sometimes suggests patterns from its training data that are known to be insecure — like using eval(), innerHTML, or outdated crypto functions.
Hardcoded secrets in suggestions
Copilot occasionally suggests placeholder API keys or credentials that look real and get committed to version control.
Inconsistent code style across files
Different completions use different patterns — sometimes callbacks, sometimes async/await, sometimes .then(). The codebase becomes inconsistent over time.
Subtly incorrect logic
Copilot completions often look correct but contain off-by-one errors, wrong comparison operators, or missed edge cases that cause intermittent bugs.
Start with a self-serve audit
Get a professional review of your GitHub Copilot mobile app at a fixed price.
Security Scan
Black-box review of your public-facing app. No code access needed.
- OWASP Top 10 checks
- SSL/TLS analysis
- Security headers
- Expert review within 24h
Code Audit
In-depth review of your source code for security, quality, and best practices.
- Security vulnerabilities
- Code quality review
- Dependency audit
- AI pattern analysis
Complete Bundle
Both scans in one package with cross-referenced findings.
- Everything in both products
- Cross-referenced findings
- Unified action plan
100% credited toward any paid service. Start with an audit, then let us fix what we find.
Frequently asked questions
Can I build a mobile app with GitHub Copilot?
GitHub Copilot is a great starting point for a mobile app. It handles the initial scaffolding well, but mobile app apps have specific requirements — app store and play store approval and offline functionality and network handling — that need professional attention before launch.
What issues does GitHub Copilot leave in mobile app apps?
Common issues include: insecure code patterns from training data, hardcoded secrets in suggestions, inconsistent code style across files. For a mobile app specifically, these issues are compounded by the need for app store and play store approval.
How do I make my GitHub Copilot mobile app production-ready?
Start with our code audit ($19) to get a clear picture of what needs fixing. For most GitHub Copilot-built mobile app apps, the critical path is: security review, then fixing core flow reliability, then deployment. We provide a fixed quote after the audit.
Get your GitHub Copilot mobile app production-ready
Tell us about your project. We'll respond within 24 hours with a clear plan and fixed quote.