oracle

To provide full project context for code analysis and debugging, you can bundle prompts with selected files and directories, enabling the AI to understand project structure, dependencies, and pinpoint the root cause of complex issues.

The best way to prompt an AI for codebase refactoring is to bundle your prompt with all relevant source files and documentation. This reduces AI guesswork by providing comprehensive project context for accurate code generation.

Yes, you can use an AI assistant for long-running coding tasks with session management. It supports both API and browser-based execution engines to maintain context over extended problem-solving sessions.

You can preview token counts before sending source files to an AI model by evaluating a task configuration that includes all files in a specific directory while excluding unnecessary test files.

Providing contextual code helps fix complex bugs faster by supplying the AI with relevant source files and error messages. This eliminates guesswork and allows the AI to accurately suggest targeted fixes.

An AI assistant gives incorrect code suggestions without project context because it lacks visibility into your specific project structure and dependencies. Bundling prompts with selected files eliminates this guesswork.