Workflow
Milestone
Sovereign Infrastructure: Org-Wide GitHub Migration
Multiplier Metric
Migrated 200+ engineers, UXers, and PMs to modern Git workflows; cloud-ai-ux became the largest organization on Google's internal GHE.
The Vision: A 10-Year Strategic Pivot
For over a decade at Google, I envisioned a more fluid, collaborative environment for UX Engineering—one that moved away from the high-friction “monorepo” constraints of Google3 and Gerrit. While powerful, the traditional internal stack often presented a “technical wall” for designers and UX engineers. The “Future of Git” (FoG) migration was my successful intervention to break that wall and realize a modern, community-driven ecosystem within GitHub Enterprise (GHE).
The Human Factor: Empowering the UX Community
The move to GHE was not just a tool change; it was an accessibility mandate.
- Lowering the Barrier: Many designers and UX researchers are cautious about touching the complexities of Google3. By architecting a GHE-based workflow, I provided a familiar, industry-standard environment that allowed non-engineers to contribute safely.
- Pioneering Active Use: I emerged as one of the most active pioneers of the GitHub Enterprise rollout at Google, working closely with the core GHE team to define how high-fidelity design-engineering collaboration should look.
- Building the Org: Beyond the repository, I architected the cloud-ai-ux organization on GHE. It has since scaled to 200+ members—comprising engineers, designers, and PMs—becoming the largest and most active organization on Google’s internal GitHub Enterprise.
The Technical Multiplier: Skill-Based CI/CD
To support this new ecosystem, I developed specialized automation that gave teams both velocity and control:
deploy-cloud-buildSkill: A manual-trigger skill I built for the Gemini CLI + Jetski engine. Unlike the automated branch-based deployment, this skill allows users to maintain fine-grained control over their deployments—specifying custom GCP projects and build parameters with a single command.- Standardized Onboarding: I distilled the entire migration process into a definitive protocol (go/cloud-ai-ux), transforming a complex organizational shift into a repeatable “push-button” onboarding experience.
The Multiplier: Scaling Velocity
- Cycle Time Reduction: Automated CI/CD pipelines reduced the average Pull Request (PR) cycle time by 40%.
- Community Ecosystem: Published a library of personal and organizational “Skills” that are now shared across the Google UXE community, enabling teams to replicate my success with minimal overhead.
- Architectural Leadership: Secured org-wide buy-in by demonstrating the “Forensic Proof” of increased developer satisfaction and output.