What problem does it solve?
Prevents unsafe, incomplete, or ungoverned data engineering work from being released by verifying that scope, evidence, contracts, quality gates, security, CI/CD checks, observability, and rollback readiness are all present and consistent.
Core Features & Use Cases
- Release evidence validation: Reviews implementation artifacts (story/sprint/code review/test/quality/contract/security/CI gates) to ensure release claims are supported by evidence.
- Release scope and target enforcement: Confirms the release candidate inventory (stories/epics/sprint increment/data product outputs/pipelines/serving outputs) matches the selected release target (demo, internal review, dev/test, staging, production, or handoff).
- Risk-aware release decisioning: Produces a Release Readiness Report with an explicit decision (Ready for Release/Demo/Internal Review, Ready with Risks, Changes Required, Blocked, Needs More Evidence) and routes to the next appropriate support skill.
Quick Start
Ask your agent to run the release readiness review for your current sprint increment and generate the release report from the available implementation artifacts.