Overview
When you’re building crypto apps with AI assistance, testing is very important (especially around wallets, transactions, and network connections). The good news is you can use AI to help write tests quickly, then improve them as needed.Types of tests
Unit tests
These tests check individual pieces of code in isolation, like testing a single function or component.Integration tests
Integration tests check how different parts of your app work together - like how your wallet component talks to your transaction component.End-to-end tests
End-to-end tests check complete user flows in a real browser or mobile app - like a user connecting their wallet, sending money, and seeing the confirmation.Mobile testing
When building embedded wallet or mobile-first crypto apps, testing on actual devices is crucial for catching touch interactions, mobile wallet connections, and performance issues. ngrok for mobile testing:- Creates secure HTTPS tunnels to your local development server
- Allows testing your local app on real mobile devices
- Essential for testing mobile wallet integrations and embedded wallet flows
- Testing embedded wallet flows on mobile browsers
- Sharing development builds with stakeholders
- Testing mobile-specific wallet connection flows
What to test in crypto apps
Wallet connection
Test how your app handles wallet states to prevent connection bugs and confused users.- Disconnected → loading → connected/failed (what UI shows in each state?)
- User rejection handling (does app show clear error when user denies connection?)
- Network switching prompts (what if user is on wrong network?)
Transactions
Test every step from user input to confirmation to catch gas failures and stuck transactions.- Validate inputs and formatting
- Estimate gas (+buffers) and submit
- Track status; handle success/failure
- Surface user feedback/state updates
Network handling
Test multi-chain behavior and resilience when users are on wrong networks or RPCs fail.- Detect and switch networks
- RPC failover
- Confirmations and sync across changes
What to mock
- Wallet provider (connect, sign, send, switch, events)
- RPC calls (balances, gas, receipts)
- Contract calls (read/write)
- Transaction states (pending/success/fail)
- Network changes and errors
Testing approaches
Test-first approach
You can use the established Test Driven Development (TDD) methodology with AI assistance. TDD means writing tests before you write the actual code - it helps clarify what you’re building and catches bugs early.Running tests automatically
Set up your code pipeline to run tests automatically when you make changes - this catches problems before they reach users.Learning from bugs
When you fix a bug, write a test for it so the same problem doesn’t happen again.Best practices
Write clear test checks
Make your test assertions specific and helpful - when a test fails, you should immediately understand what went wrong.Create good test data
Use realistic test data that covers common scenarios and edge cases, but keep it simple enough to understand.What to read next
Integrate testing strategies with:- AI Debugging: Use tests to prevent bugs before they happen and debug issues systematically
- AI Development Workflows: Build testing into your core development process and workflow patterns
- AI Deployment: Ensure tests run in your deployment pipeline for reliable production releases