gh-project-implement

Automate concurrent implementation of GitHub Project issues by processing priority batches (P0-P3) with dynamic concurrency. The tool uses DAG-based scheduling to respect dependencies and creates isolated Git worktrees for each issue to parallelize sprint execution safely.

Dependency-aware scheduling uses a DAG-like model to ensure an issue only starts after its dependencies are completed. This prevents blocking during parallel sprint execution and includes graceful fallbacks if dependency cycles exist within the GitHub Project workflow.

Git worktrees are automatically created per issue to isolate concurrent development tasks. This isolation prevents branch conflicts while the automation runs code tasks, reviews, and merges PRs for multiple GitHub Project issues simultaneously.

Automated PR creation and merging for sprint backlogs is handled by running code development tasks via a codeagent wrapper within isolated worktrees. The system reviews and merges PRs automatically where possible after completing priority-driven parallel execution.

Priority-based batch processing supports GitHub Project maintenance and cross-team workflows by processing P0 through P3 batches. It maximizes throughput with dynamic concurrency while managing interdependencies for rapid progress across multiple team backlogs.

Cleanup of stale branches and worktrees after automated issue processing is handled by a built-in routine that removes leftover resources. This runs alongside real-time progress reports to ensure repository hygiene once parallel sprint execution completes.