A comprehensive walkthrough of building a production-grade multi-agent AI code review assistant using Google's Agent Development Kit (ADK). Covers building a sequential review pipeline with specialized agents (code analyzer, style checker, test runner, feedback synthesizer), a looping self-correcting fix pipeline, shared context management via session state, long-term memory with Vertex AI Memory Bank, and artifact storage. Also covers deploying to Vertex AI Agent Engine, switching from in-memory to persistent services for production, and monitoring with Cloud Trace. Includes Q&A on authentication, CI/CD, and safely running LLM-generated code.
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