Built a mobile app with Zed AI?
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 Zed AI apps
Building a mobile app with Zed AI 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 Zed AI mobile app
Common Zed AI issues we fix
Beyond mobile app-specific issues, these are Zed AI patterns we commonly fix.
Inline edits applied directly to files without a diff review step
Zed AI applies inline edits immediately to open files, which makes changes fast but difficult to review as a unit before they are applied. Mistakes in multi-line edits can be harder to undo cleanly compared to tools that show a diff preview.
Fewer security guardrails than more established AI coding assistants
As a newer tool in a smaller ecosystem, Zed AI has less institutional knowledge built into its guardrails — it is less likely to flag insecure patterns in generated code like missing authentication or unsafe deserialization.
Limited codebase context compared to dedicated AI coding assistants
Zed AI operates primarily on open files and the immediate context rather than indexing the full codebase, so suggestions may not account for existing utilities, established patterns, or dependencies defined elsewhere in the project.
Rust-specific suggestions may not account for lifetime and ownership rules
Generated Rust code from Zed AI sometimes produces code that compiles but has ownership patterns that are overly restrictive or introduce unnecessary clones, requiring a Rust-savvy developer to optimize.
Start with a self-serve audit
Get a professional review of your Zed AI mobile app at a fixed price.
External Security Scan
Black-box review of your public-facing app. No code access needed.
- OWASP Top 10 vulnerability check
- SSL/TLS configuration analysis
- Security header assessment
- Expert review within 24h
Code Audit
In-depth review of your source code for security, quality, and best practices.
- Security vulnerability analysis
- Code quality review
- Dependency audit
- Architecture review
- Expert + AI code 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 Zed AI?
Zed AI is a great starting point for a mobile app. It handles the initial scaffolding well, but mobile 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 Zed AI leave in mobile apps?
Common issues include: inline edits applied directly to files without a diff review step, fewer security guardrails than more established ai coding assistants, limited codebase context compared to dedicated ai coding assistants. For a mobile app specifically, these issues are compounded by the need for app store and play store approval.
How do I make my Zed AI mobile app production-ready?
Start with our code audit ($19) to get a clear picture of what needs fixing. For most Zed AI-built mobile apps, the critical path is: security review, then fixing core flow reliability, then deployment. We provide a fixed quote after the audit.
How much does it cost to fix a Zed AI-built mobile app?
Our code audit is $19 and gives you a complete report of issues. Fixes start at $199 with our Fix & Ship plan. For larger mobile app projects, we provide a custom fixed quote after the audit — no hourly billing.
Get your Zed AI mobile app production-ready
Tell us about your project. We'll respond within 24 hours with a clear plan and fixed quote.