Common Bugs in Sourcegraph Cody-Generated Code

Even with deep code graph context, Cody can't always infer the full contract of every function in a large codebase — especially functions with complex side effects or unusual behavior that isn't captured in the signature or docstring

Cody's code graph understanding is excellent but can produce code that makes assumptions about how functions behave based on their names and signatures rather than their actual implementation. It may call an internal helper function thinking it does one thing when it actually does something subtly different in edge cases

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 Sourcegraph Cody 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 — Sourcegraph Cody 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 Sourcegraph Cody 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.