ce-compound

Document software problems and solutions by capturing context, symptoms, and root causes using structured data inputs. This process creates structured documentation that compounds team knowledge, ensuring future issues are resolved faster and domain vocabulary is maintained.

Capturing domain vocabulary and solution documentation requires seeding or updating a shared project vocabulary with new concepts. This ensures that newly solved problems are recorded with full context, creating accessible reference material for the entire team.

Yes, you can use structured YAML files for problem documentation and knowledge management. The system validates frontmatter against a defined YAML schema to ensure that all problem and solution entries maintain consistent structured data across your documentation.

This knowledge management approach supports multi-step processes by incorporating session history and enabling parallel subagent execution. It handles complex software development workflows by documenting each resolution step within a structured template.

Validate structured data inputs for technical documentation by running a Python validation script against a YAML schema. This ensures that all frontmatter in your problem and solution documentation adheres to the required domain vocabulary and structural constraints.