context-aware-questions

To identify missing requirements and documentation gaps, you can analyze project files like READMEs and GitHub issues to detect inconsistencies. This process generates prioritized questions that clarify ambiguities and fill knowledge gaps before coding begins.

Analyzing GitHub issues for unclear specifications involves reviewing issue comments and project scan data to detect vague descriptions. It proactively surfaces information gaps and generates actionable questions categorized by requirements, technical, or documentation needs.

You can generate actionable questions for project planning by analyzing project-wide issues and documentation deficiencies. It detects inconsistencies and suggests improvements, prioritizing questions by category and impact to guide development effectively.

Yes, you can use project scan data to detect inconsistencies across technical documentation. By analyzing READMEs and project files, it identifies missing information and surfaces gaps, prioritizing questions by consistency and architecture categories.

Yes, information gap analysis works for existing project files like READMEs. It analyzes documentation deficiencies and vague descriptions to surface missing requirements, generating prioritized questions to clarify ambiguities across the project.