This epic covers the introduction and ongoing operation of a fully automated dependency and library update workflow. The goal is to keep the codebase continuously up to date while minimizing manual maintenance effort and reducing operational risk.

An AI agent is responsible for continuously monitoring and updating 100% of libraries and dependencies and automatically opening pull requests. A secondary automated code-review agent analyzes each pull request and provides a recommendation on whether it is safe to merge into production.

Current State (Update):{}

The automated workflow is active and continuously opens dependency update pull requests. What previously required approximately 6–8 hours of manual maintenance work is now reduced to a few minutes of focused PR review. The team reviews AI-generated recommendations rather than performing updates manually.

Target State:{}

Maintain a continuously up-to-date codebase with minimal human intervention, where engineers primarily focus on reviewing risk and intent rather than executing dependency upgrades.

Outcome / Value:{}

Reduced maintenance overhead, improved security posture, and a more stable and current production codebase.