How to understand an AI-generated repository
code-fix.dev ·
Learn where to start in an unfamiliar repository: setup instructions, entry points, data flow and the smallest relevant change.
Start with the README and execution settings
You do not need to read every file. Find the project purpose and setup instructions in the README, then verify commands in configuration such as package.json. Use example environment files to understand variable names; never share files containing real credentials.
Trace one screen to its entry point
Search the repository for the affected page URL or visible text. Follow its event handler, function calls and API request. File conventions differ between frameworks, so verify a file’s role instead of inferring it from its name alone.
Map input through to storage
Write a flow such as “form → validation → API → server → database → response → interface update.” Add the files you actually found beside each step. This exposes unknowns and helps explain why editing a UI component may not fix a server authorization failure.
Check AI explanations against the code
Ask for the exact functions and files involved when a button is clicked, rather than a generic folder summary. Confirm that those functions exist and are called. Ask the explanation to distinguish observed facts from assumptions.
Define a narrow change
Use a goal such as “fix navigation after the login response” rather than “improve the architecture.” Record current behavior and test in a separate branch. If the structure remains unclear, submit the repository and the feature you want explained for a preliminary review.