Google Cloud Tech: End-to-end agentic development with Google Gemini, Antigravity, and GitLab

Learn more about GitLab → https://g.dev/ai/gitlab
Get started with GitLab on the Google Cloud Marketplace today → https://g.dev/cloud/google-cloud-marketplace
Learn more about Google Gemini → https://g.dev/ai/about-gemini

See how Google Gemini, Antigravity, and GitLab come together to deliver an end-to-end, secure, and efficient agentic development workflow.

Join Regnard Raquedan, Senior Ecosystem Solutions Architect at GitLab, as he walks through giving a Python application a complete UI makeover—from AI-assisted UI design and automated GitLab issue creation to automated code review and seamless deployment to Google Cloud Run.

*Watch along and learn:*
* *AI UI design & generation:* Creating UI mockups and translating designs directly into application code using Google Gemini inside the Antigravity IDE.
* GitLab MCP integration:* Automating issue tracking, branch creation, and Merge Requests directly from your IDE.
* *Automated code review:* Using native AI agents in the *GitLab Duo Agent Platform* (Develop with Google Gemini) to review Merge Requests before deployment.
* *Secure CI/CD deployment:* Running automated security scanning, container packaging with Google Artifact Registry, and deploying live to Google Cloud Run.

🔗 Resources:
*GitLab Duo → https://g.dev/ai/gitlab-duo
_This is the central hub for GitLab's AI-powered features. It covers everything from code suggestions (Code Suggestions) to vulnerability explanation, MR summarization, and root cause analysis._

* GitLab Duo Agent Platform → https://g.dev/ai/search-context
_(Search context: The demo specifically mentions this platform). This is the infrastructure for running custom AI agents within GitLab. You can find technical deep dives and documentation on how to build and integrate your own agents here._

* GitLab & Google Cloud integration documentation → https://g.dev/ai/setup-google-artifact-management
_This guide covers how to set up Google Artifact Management, IAM, and deployment targets (like Cloud Run) as shown in the demo._

#GitLab #Gemini #GoogleCloud #CloudRun #GitLabDuo #AgenticAI #DevSecOps #SoftwareDevelopment

Building What's Next with Google Cloud → https://goo.gle/Agentic-AI-Solutions
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Speaker: Regnard Raquedan
Products Mentioned: GitLab Duo Agent Platform, Google Gemini, Antigravity, Model Context Protocol, GitLab MCP Server, Google Cloud Run, Google Artifact Registry