Blending built-in knowledge with domain-specific information is essential for effective AI code generation, especially for Infrastructure as Code (IaC). Pulumi uses Retrieval Augmented Generation (RAG) and semantic search to generate accurate and up-to-date code. This process involves evaluating prompt coverage, balancing precision and recall, and employing self-debugging techniques to improve code quality. Continuous testing and real-world monitoring are crucial for maintaining high performance and reliability in AI-powered code generation systems.
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Using RAG for code generationThe anatomy of Pulumi Copilot RAGFrom kitchen to table: testing what worksWrapping up2 Comments
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