oracle

To bundle repository context with a prompt, you can use a tool that combines selected project files and your query into a single contextual request. This allows a model to provide repository-aware answers for code comprehension and architecture decisions.

The best way to ask an AI about project architecture is bundling the prompt and selected files into a single task context. This method ensures the model receives live repo context directly from your local project files to explain design rationale.

Yes, you need a CLI tool to bundle file attachments into a contextual prompt. Running the command locally allows you to select specific file sets and bundle them with your query for repository-aware code comprehension responses.

Yes, you can reuse sessions when bundling prompts with repo context. Session management streamlines workflows by allowing you to maintain selective file sets across multiple contextual requests for continuous codebase inquiries.

AI responses generated from bundled repo context are advisory and should be treated with caution. You must validate the output against your actual code and tests before relying on the results for architecture decisions or documentation QA.