Product-Led Growth (PLG) demands a relentless pace of experimentation, yet traditional development cycles often remain the bottleneck. Vibe Coding—the practice of using natural language prompts to generate, debug, and refine functional code with AI—offers an unprecedented opportunity to accelerate product iteration. However, success hinges not on the specific AI tool, but on the methodology used. This session cuts through the tool-specific hype to establish a tool-agnostic framework for effectively deploying generative AI in the PLG context. We will define the principles of translating product insights and user feedback directly into prompt structures that yield shippable features in hours. Attendees will leave with a reusable blueprint for integrating AI-assisted development across their product, design, and engineering teams, focusing on outcomes over syntax. Key Takeaways: - Learn the universal Vibe Coding methodology that works across any major LLM or low-code platform. - Master the art of prompt engineering for functionality to generate reliable, testable code for onboarding flows, feature variants, and analytics instrumentation. - Discover how to establish AI-driven feedback loops that link feature experimentation directly to PLG metrics (activation, retention, and conversion).