feature-doctor

To fix a corrupted CONTEXT.json file, you can use an automated diagnosis tool that identifies JSON parsing errors and applies template-based corrections or restores from backups to self-heal the project data.

Missing required fields and state mismatches in your project context occur when the CONTEXT.json file becomes incomplete or corrupted, requiring automated diagnosis and template-based corrections to restore data integrity.

Yes, you can automatically repair JSON parsing errors by running a self-healing diagnostic process that restores corrupted CONTEXT.json files using default values and backups, minimizing manual intervention and downtime.

Yes, the project context repair process requires Python3 as a dependency to diagnose inconsistencies, apply template-based corrections, and automatically restore corrupted or incomplete CONTEXT.json files.

The best way to restore missing context data from backups is to run an automated self-healing process that diagnoses inconsistencies and applies template-based corrections to rebuild the CONTEXT.json file.

Automated healing for project configuration data should be avoided when the CONTEXT.json file contains custom fields or unique state mappings that default templates and backup restorations might overwrite incorrectly.