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This interactive tutorial by Tal Raviv and Aman Khan teaches product managers and non-technical professionals how to develop 'AI product sense' by using AI coding agents like Cursor and Claude Code for daily work tasks. Rather than studying AI concepts abstractly, the authors advocate for hands-on learning through practical applications including strategy, prioritization, decision-making, data analysis, and productivity workflows.
The article covers essential technical concepts translated for PM audiences: RAG (Retrieval Augmented Generation) for retrieving relevant information, agent memory through persistent instruction files (AGENTS.md), context engineering for strategically filling context windows, tool calling mechanisms, context rot and performance degradation, and model selection tradeoffs. The piece includes $50 in free Cursor credits for subscribers—enough for approximately 2.5 months of standard usage.
This resource is ideal for PMs just starting their AI journey. It provides foundational knowledge in technical skills that will help you build a solid understanding of how AI impacts product management.
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Go to lennysnewsletter.comThis free interactive course teaches product managers how to use Claude Code—Anthropic's CLI tool—for AI-powered PM work. Uniquely, the course is taug...
This article serves as a non-technical PM's guide to orchestrators, context optimization, and evals for AI agents. Author Jake McCGwire shares practic...
This free short course from DeepLearning.AI teaches how to use large language models through the OpenAI API. Taught by Isa Fulford (OpenAI) and Andrew...