Common Bugs in Zed AI-Generated Code

Zed AI works with the context visible in the editor, which may not include the full definition of every function it calls. For Rust, lifetime and borrow checker rules are complex enough that even correct-looking completions may fail to compile or have subtle safety issues

Zed AI's inline edits and code generation can produce code that's syntactically valid but semantically incorrect in the context of the surrounding codebase — using a function that exists but doesn't do what the name implies, or misusing an API it hasn't seen the full signature for. Rust code specifically may compile but have subtle ownership or lifetime issues that Zed AI didn't fully resolve

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 Zed AI 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 — Zed AI 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 Zed AI 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.