In today's DevSecOps landscape, engineers often find themselves juggling between various tools like IDEs, documentation pages, local terminals, and cloud dashboards, all for setting up a basic pipeline. This multitasking can lead to increased cognitive strain and slow down progress.

This session presents an innovative approach by transitioning from traditional textual configurations to intelligent, prompt-based cloud deployments through Google Antigravity. We'll provide a real-world demonstration of managing a complete GitOps CI/CD pipeline within Antigravity’s uniquely designed state-aware workspace container sandbox.

Highlights you will gain:

• Utilizing Antigravity’s secure Ubuntu sandbox to initiate infrastructure tools like Terraform and kubectl without affecting your local environment.

• Adopting best practices for crafting HCL that is both declarative and ready for production, specifically for Google Kubernetes Engine (GKE) clusters and associated applications, using guided prompts.

• Employing AI-driven self-correction to effectively trace, diagnose, and rectify live pipeline issues, such as authentication hurdles with GitHub Actions, as they occur in real-time.

• Transforming your engineering approach from creating redundant code to managing cloud architecture as a unified truth source.