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Automates versioning, release notes and package publishing from a CI workflow.

Turn Conventional Commits into reviewed release pull requests.

Keeps a categorized GitHub release draft updated as pull requests merge.

A release-automation CLI that builds, packages, and publishes software artifacts.

Advance application releases through configured deployment targets.

Prepare and publish software releases across Git hosts and package managers.

Regression Guard that compares release candidates with production behaviour

A test-management and quality-analytics platform for organizing coverage, execution results, and release readiness.

Automate AWS software releases as source, build, and deployment stages.

Build a custom build, test, and release pipeline from a Python-configured framework.

A release workflow for recording package changes, calculating versions, and publishing changelogs.

Deploy applications to your own servers through a Ruby task workflow that coordinates remote commands over SSH.

Coordinate multi-cloud releases with trigger-driven deployment pipelines.

Package Kubernetes resources as charts and manage their installation as releases.

AI platform that generates API tests, scans for security gaps, and scores release risk.

Promote releases through environments and coordinate deployments beyond the build stage.

Manage test cases, suites and releases with AI-assisted authoring and CI integrations.

Organize test cases, plans, and execution results so a team can track quality across releases.

Build, test, publish, and deploy containerized applications to Kubernetes.

Group mobile app crashes, non-fatal errors, and Android ANRs into issues that teams can prioritize by user impact.

Deploy Dockerized web applications and managed databases with Aptible handling container releases and the underlying application infrastructure.

A hosted test-management workspace that brings manual runs and automated results into one QA reporting view.

Build, sign, distribute, test, and publish mobile apps through a configurable CI/CD pipeline.

Capture and group application errors, then use stack traces and release context to investigate the failures reaching users.