oracle

You can provide code context by bundling prompts with selected source files and error logs for AI processing. This approach packages relevant project context to facilitate accurate AI responses for complex debugging or development tasks.

Yes, session management supports long-running tasks with session reattachment. This allows you to disconnect from lengthy AI processing jobs and reconnect later to retrieve generated responses without losing progress.

The best way to bundle documentation and source files for AI processing is using context bundling. This packages prompts directly with selected project files to ensure the AI model receives the full contextual scope needed for accurate analysis.

Yes, you need the oracle CLI tool to manage AI context for development tasks. It handles the bundling of prompts and files, and optionally supports browser automation or API calls for model interaction.

AI responses often lack accuracy during complex debugging because the model is missing relevant source files and error logs. Bundling prompts with project context ensures the AI has the necessary documentation to identify root causes and suggest fixes.

Yes, you can preview token counts for a task before processing. This allows you to check the size of bundled files, such as all files in a directory, to ensure they fit within your AI model's context limits.