what-context-needed

To determine which files to provide for a codebase question, you need a systematic approach that analyzes your request and outputs a prioritized list of required and optional files, along with reasons for their relevance to guide targeted file sharing.

Accurate code review and debugging recommendations require specific context files. Identifying these missing files beforehand prevents the assistant from guessing and ensures actionable advice by explicitly highlighting uncertainties that require clarification.

You can identify missing context for feature implementation by generating a prioritized file list that separates strictly required files from helpful optional ones, explaining why each file matters so you can share the exact project context needed.

Yes, this approach works for security investigations and dependency analysis. It systematically determines the necessary files for these tasks, notes files already seen in the conversation, and highlights uncertainties to ensure comprehensive context coverage.

The best way to stop AI guessing is to request a prioritized list of required and optional files before answering. This method identifies explicit uncertainties and notes already-provided files, guiding you to share only relevant context.