> ## Documentation Index > Fetch the complete documentation index at: https://docs.gourmand.dev/llms.txt > Use this file to discover all available pages before exploring further. # How Autocomplete Works in Gobi > Understand how Gobi's autocomplete works, including timing optimization, context retrieval from your codebase, and filtering to improve AI code suggestions. ## Timing Optimization for Autocomplete In order to display suggestions quickly, without sending too many requests, we do the following: * Debouncing: If you are typing quickly, we won't make a request on each keystroke. Instead, we wait until you have finished. * Caching: If your cursor is in a position that we've already generated a completion for, this completion is reused. For example, if you backspace, we'll be able to immediately show the suggestion you saw before. ## Context Retrieval from Your Codebase Gobi uses a number of retrieval methods to find relevant snippets from your codebase to include in the prompt. ## Filtering and Post-Processing AI Suggestions Language models aren't perfect, but can be made much closer by adjusting their output. We do extensive post-processing on responses before displaying a suggestion, including: * Removing special tokens * Stopping early when regenerating code to avoid long, irrelevant output * Fixing indentation for proper formatting * Occasionally discarding low-quality responses, such as those with excessive repetition You can learn more about how it works in the [Autocomplete deep dive](/customization/models#autocomplete). **Looking for AI that predicts your next changes or additions?** Check out [Next Edit](/ide-extensions/autocomplete/next-edit), an experimental feature that proactively suggests code changes before you even start typing, going beyond traditional autocomplete to anticipate entire code modifications.