project-context-sync

To document your codebase tech stack and dependencies, you can analyze the project structure to scan package and configuration files, extracting key information about languages and frameworks to generate a comprehensive project report.

The best way to sync project context for AI models is to scan project files to detect the technology stack and dependencies, then update or create a CLAUDE.md file with essential, structured project information.

You generate a project analysis report for a new codebase by scanning its documentation and configuration files to extract metadata, which produces a detailed technical landscape report in the docs directory.

Yes, you can detect project frameworks and libraries without manual configuration by running an automated analysis that scans package files to identify the technology stack and dependencies directly.

When scanning configuration files for project metadata, the analysis is limited to the information explicitly present in package and configuration files, meaning undocumented custom architecture or implicit dependencies may not be captured.

Yes, project context sync works for any software project directory that contains standard package files, configuration files, and documentation needed to extract languages, frameworks, and project metadata.