Vibe coding and context engineering with ADK

In this interview podcast, Sita and Amit discuss building AI agents without coding, focusing on vibe coding, context engineering, and token optimization. Amit explains vibe coding as giving an AI programmer a general idea, while context engineering provides necessary details for feature development by including relevant documents. Token optimization ensures the AI focuses on essential documents to avoid overload and reduce costs. They demonstrate building an expense tracking agent using Gemini CLI, emphasizing the importance of project standards, product requirements, and project structure summaries for effective AI code generation and deployment to Cloud Run. The podcast concludes with a Q&A session addressing topics like the relevance of RAG, managing context overload, metrics for tracking context retrieval, and tips for token optimization.