Most engineering teams use artificial intelligence as a solitary autocomplete assistant inside their code editor. While helpful for writing isolated snippets, single-prompt chatbots lack role specialization, cannot perform multi-stage reviews, and fail to enforce rigorous organizational engineering standards across shared codebases.

In this practical, hands-on 60-minute tutorial, you will discover how to move beyond individual prompts to architect a coordinated team of specialized AI agents powered by Gemini and integrated directly into GitHub.

We will construct a production-grade engineering collective featuring an Orchestrator, Code Reviewer, Security Specialist, and Test Engineer.

Learn how to combine Gemini 3.1 Pro for deep architectural reasoning with Gemini 3.8 Flash for instant automated feedback across GitHub Copilot and GitHub Actions continuous integration pipelines.

Attendees will explore live pull request triage, adversarial prompt hardening, and automated quality gates, walking away with battle-tested open-source templates to deploy their own AI engineering workforce immediately in real-world projects.