We learned a lot of lessons building our AI assistant, Pulumi Copilot. Here are some key insights: Minimize LLM Usage: Let traditional code handle deterministic tasks, reserve LLMs for natural language work Decompose into Skills: Break complex tasks into modular units that combine LLM and traditional code appropriately Test Rigorously: Use multiple validation approaches, including LLMs testing LLMs Learn from Hallucinations: Sometimes incorrect outputs reveal user expectations Learn from Users Continuously: User interactions improve our AI systems - from training better skills to catching hallucinations and revealing product opportunities. Here is the longer more detailed blog post. Be curious on yall's thoughts. submitted by /u/kao-pulumi [link] [comments]
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