The rise of agentic coding—AI systems that generate personalized, on-demand software solutions—is fundamentally reshaping economic incentives in the software industry, potentially undermining the collaborative open source model that has driven innovation for decades. In a discussion between economist Miklós Koren of Central European University and AI researcher Chris Benson, the two explore how AI-driven development shifts value away from shared, community-maintained codebases toward individualized, AI-generated solutions tailored to specific use cases. The economic implications are substantial. As agentic AI systems become capable of generating functional code without reliance on existing open source libraries, developers and organizations face reduced incentives to contribute to public repositories or maintain shared infrastructure. This "vibe coding" approach—where AI interprets developer intent and produces customized code—threatens the traditional open source economics that relied on network effects and shared maintenance burdens. The conversation examines how this shift could reshape collaboration patterns, alter incentive structures for developers, and ultimately influence the competitive landscape of the broader technology sector. The discussion raises critical questions about the future sustainability of open source projects and whether the software industry will develop new economic models to sustain collaborative development in an age of AI-generated code. Industry examples like the Tailwind story illustrate how established frameworks may be disrupted as AI systems reduce dependency on specialized, pre-built solutions.