ce-compound

Automating documentation for recently solved problems involves extracting problem details, investigation steps, root causes, and code solutions into structured Markdown files. This process compounds team knowledge by making documented fixes searchable for future reference.

The best way to structure a team knowledge base for code solutions is creating searchable Markdown files within a `docs/solutions/` directory with YAML frontmatter. This captures problem symptoms, root causes, working solutions, and prevention strategies.

Parallel processing for problem solving documentation uses a two-phase execution strategy where multiple subagents gather research in parallel, followed by sequential assembly and writing. This efficiently extracts problem details and investigation steps before compiling structured knowledge entries.

Yes, automated documentation tools can capture prevention strategies for complex bugs by orchestrating subagents to extract and document solutions. They record problem details, investigation steps, root causes, working solutions with code examples, and preventative measures into structured files.

A structured Markdown file for team knowledge compounding should include problem symptoms, investigation steps, root causes, working solutions with code examples, and prevention strategies. It utilizes YAML frontmatter for searchability within the `docs/solutions/` directory.

No, automated knowledge management for recently resolved issues requires a two-phase execution strategy. It orchestrates parallel subagents to gather information efficiently, then sequentially assembles and writes the structured documentation, necessitating the workflow to run after a fix is applied.