ship

Automating your release pipeline involves triggering a workflow that merges origin/main, runs tests, enforces review gates, applies semantic versioning, and creates a pull request. This minimizes human intervention by applying deterministic steps and guardrails across the end-to-end release process.

Semantic versioning automation applies version bumps based on commit messages and updates change logs accordingly. It analyzes your feature branch history to determine the correct version increment, ensuring safe and auditable releases without manual version tracking.

Automated release workflows detect and run your project's tests across common tooling like npm and pytest. The workflow adapts to your typical project stack by validating branches, executing detected test suites, and reporting results before proceeding to the review gate.

Automated release workflows merge origin/main into your feature branch and resolve conflicts automatically when possible. When conflicts require manual intervention, the workflow surfaces them clearly for you to resolve, ensuring the branch is ready before proceeding with tests and versioning.

Automating end-to-end release workflows requires precise deterministic steps and a ready feature branch. If branch validation fails, tests do not pass, or merge conflicts need manual resolution, the workflow pauses to surface critical issues rather than forcing a potentially unsafe release.

The ship workflow performs pre-flight checks and branch validation to ensure readiness before shipping. It merges origin/main, runs detected tests, enforces a structured review gate, and applies semantic versioning before creating a pull request with a clear summary of changes and test outcomes.