cercano-explain

You can explain code locally without sending data to the cloud by using Cercano with an Ollama instance to perform offline AI inference. This keeps your codebase private while generating inline explanations.

To analyze dense documentation using local AI, provide the text or file path to Cercano. It processes the content locally to reveal the purpose, interfaces, and data flow for a concise understanding.

Yes, Cercano requires a connected Ollama instance to explain code. This local server setup provides the private, offline reasoning needed to analyze codebases, modules, or documentation.

Yes, you can get inline explanations for a specific code snippet by providing it as text input to Cercano. It will output a clear summary of what the code does, key interfaces, and data flow.

The best way to understand unfamiliar codebases offline is to run local AI inference via Cercano. It analyzes modules or file paths locally to provide file-level understandings without cloud connectivity.

Yes, you can use this approach to analyze both code and dense text. Cercano processes inputs of text or file paths to reveal purpose, interfaces, and data flow for algorithms or documentation.