Pantheon Batch Stories

Automating epic story implementation is achieved by orchestrating multiple software development stories in a dependency-aware, wave-based execution strategy. This process manages story prioritization and sequential execution through a multi-agent pipeline to implement entire epics.

Wave-based execution in batch story processing is a strategy that ensures all explicit and implicit dependencies are met before proceeding. It manages story prioritization by executing sequential waves of stories through a multi-agent pipeline only when dependencies are satisfied.

Dependency analysis during epic execution automatically identifies and manages both explicit and implicit story dependencies. It ensures quality gates are met by integrating with build, test, verify, and refine phases before proceeding to the next wave of stories.

Batch story implementation supports existing artifacts by performing a gap analysis before execution. It checks for current artifacts in the implementation directory and only builds what is missing, ensuring no redundant development work is executed.

Batch processing user stories requires a starting directory such as 'src/artifacts/implementation' to manage the process from start to finish. This directory structure allows the multi-agent pipeline to read story definitions and write implementation outputs.

Automated batch processing for agile epic execution is limited by its reliance on a strict, dependency-aware execution strategy, meaning stories cannot proceed if prior wave dependencies fail quality gates or encounter unresolved gaps during the build and test phases.