task-learnings

To capture project knowledge after a coding task, use a structured learning extraction workflow that reviews completed work, identifies reusable insights, and classifies findings into meaningful categories to prevent engineering discoveries from being lost.

The best way to document architectural discoveries and bug fixes is by recording structured learning entries that update project documentation, systematically capturing patterns and pitfalls to ensure future development tasks avoid repeating mistakes.

You should record learnings for software engineering workflows immediately after completing coding tasks, bug fixes, refactoring work, or architectural discoveries to systematically prevent valuable engineering insights from being lost over time.

To clarify project conventions during a refactoring workflow, apply a project knowledge recording process that categorizes findings and recommends rule updates whenever existing conventions require clarification based on the completed work.

Capturing coding workflow learnings does not require external dependencies, functioning as an intermediate implementation that relies solely on structured learning entries and reference components to maintain project documentation updates.

Engineering discoveries get lost without a learning extraction workflow because there is no systematic mechanism to review completed tasks, classify findings into categories, and update project documentation with reusable architecture decisions, patterns, and pitfalls.