Common Bugs in Amazon Q Developer-Generated Code

IAM permissions are notoriously difficult to get right, and Amazon Q generates minimal permissions that may miss edge cases. Lambda has operational constraints (timeout, memory, payload limits) that don't surface during local testing

Amazon Q generates Lambda functions that work in development but fail in production due to missing IAM permissions, cold start timeouts, or payload size limits hitting API Gateway's 10MB limit. CDK code may create resources with overly permissive or overly restrictive IAM policies. DynamoDB access patterns generated may not match the table's key schema

Start by running your app through its complete user flow — sign up, use every feature, try edge cases like empty inputs and invalid data. Most Amazon Q Developer bugs surface when you go off the happy path. Use your browser's developer tools to watch for console errors, failed network requests, and unhandled promise rejections. TypeScript's strict mode will catch many issues at compile time if it's not already enabled.

For async errors, wrap every server-side operation in try/catch blocks and return meaningful error messages. For state bugs, consider whether the state belongs in the URL, in a server component, or in client state — Amazon Q Developer often defaults to client state when server state would be more appropriate. For data fetching issues, implement proper loading and error states for every data-dependent component.

The best way to prevent Amazon Q Developer bugs from reaching production: enable TypeScript strict mode, add ESLint rules for common mistakes (no-floating-promises, exhaustive-deps), and write tests for critical user flows. Even basic smoke tests catch the majority of issues.