I know it got late due my exams, but yeh open to discuss: Hi @square-wire-39606 and @dry-beach-38304, My name is Ayush, and I am very interested in the "Metaflow CI/CD: Kubernetes Integration Testing with GitHub Actions" project for GSoC 2026 as a DevSecOps Background. I’ve been exploring the Metaflow Dev Stack and the Runner/Deployer APIs. I see a great opportunity to leverage Kind and Argo Workflows within GHA to catch integration bugs earlier. I’ve drafted an initial implementation plan that focuses on: 1. A reusable GHA workflow using the Dev Stack. 2. A custom Pytest plugin for aggregating results across local/K8s backends. 3. Integrating with the GitHub Check Runs API for rich PR feedback. I had a couple of quick questions to refine my proposal: • Does the current QA test suite already have markers for compute-intensive vs. lightweight tests, or should that be part of the plugin's tagging logic? • Are there specific integration "edge cases" (e.g., artifact persistence across Argo steps) that you'd like to see prioritized in the new CI suite? Looking forward to your guidance! And this becoming my first GSoC venture ever before I graduate