How do you implement agentic AI for automated release readiness assessment?
Release readiness assessment agents evaluate whether a software release meets quality, security, and operational criteria for deployment. Configure agents with access to test results, code quality metrics, security scan outputs, and deployment checklists. The agent aggregates signals across test coverage, passing rates, open critical bugs, security vulnerabilities, performance benchmarks, and documentation completeness. Implement weighted scoring models where different criteria have different importance levels. Generate readiness reports with go or no-go recommendations and specific blocking issues. Support different readiness criteria for different deployment targets. Track historical release quality to calibrate readiness thresholds. Implement release sign-off workflows with stakeholder approval tracking.