A Docker engineer built an event-driven AI agent system that automatically analyzes GitHub pull requests and closes tutorial submissions with personalized comments. The solution uses multiple AI models (Qwen3 for analysis, Gemma3 for text generation), the Mastra framework for multi-agent workflows, and Docker's MCP Gateway for GitHub integration. The system responds to GitHub webhooks without requiring human interaction, demonstrating how AI agents can automate repetitive developer workflows beyond traditional chatbot interfaces.

11m read timeFrom docker.com
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The problem spaceThe plan to automateBuilding an event-driven application with agentic AILessons learnedWrapping up

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