toleria-digital-twin

To keep a knowledge graph in sync with code changes, you can automate the extraction of architectural decisions and patterns directly from your repository. This ensures your knowledge base reflects the current project state without manual updates.

You extract architectural decisions and design patterns by running a script against your project directory. The script scans source files to identify markers for decisions, patterns, and technical debt, adding them to your knowledge repository.

Yes, you can update your project knowledge base without duplicating existing entries. The extraction process supports incremental updates, allowing you to re-run the script to add new items while preserving previously synchronized knowledge.

Yes, you need Python and bash scripting for automated code analysis. The extraction process relies on Python libraries like ast and json, alongside bash scripting, to perform file operations and parse source files for technical debt markers.

The best way to maintain an always-up-to-date architecture decision map is to synchronize project status and technical debt directly from code activity. This automated continuous review reduces manual documentation efforts for DevOps teams.

Automated code analysis works for tracking technical debt in existing repositories by scanning source files for markers. It updates your vault with the current project state, tasks, and blockers based on actual code activity.