We’ll break down codebase indexing. Codebase indexing allows Cursor to build a comprehensive map of your entire project. By indexing the file structure, function definitions, variables, dependencies, and even code relationships, Cursor gains a complete overview of your codebase. This understanding allows the AI to provide context-aware suggestions, not just basic code completion. Now, let’s take a look at how code indexing is configured. Go to Cursor Settings and switch to the Features tab. Scroll down to find Code Base Indexing. Here, you can enable or disable indexing, which is especially useful for large projects where you want better performance or for privacy reasons. You can also resync the index anytime, so if you skipped indexing at the start, you can update it here. If you want to exclude certain files or folders from indexing, Cursor has a feature similar to Git Ignore called Cursor Ignore. You can add files to ensure they aren’t indexed. Files already ignored by Git Ignore are automatically excluded from Cursor’s indexing, so you don’t need to repeat them. For specific cases, like ESLint files, you can add them here to prevent indexing. Another option is Git Graph File Relationships. This allows Cursor to index your Git history. When enabled, Cursor will consider your Git log and all commit messages during indexing. If you don’t need this or if it slows down your project, you can easily disable it. And that’s all you need to know about code base indexing in Cursor. Now you're set to search and manage your code efficiently. In the next section, we’ll explore more advanced features—stay tuned!