Low-code platforms, designed to help non-technical users create software with minimal developer resources, face an existential threat from the rise of AI-driven coding tools. The cost of shipping code is rapidly approaching zero, making traditional low-code offerings less appealing. Forrester predicts that the low-code market will hit $50 billion by 2028, but the article argues that the fundamental return on investment (ROI) for these tools is shifting. As AI tools become more prevalent, companies find it often faster and cheaper to develop software directly rather than relying on low-code platforms. The author illustrates this shift with their experience at Cloud Capital, where they previously used the low-code platform Retool for internal tools. They found that transitioning to AI-driven development allowed for faster and more efficient software creation. Instead of using Retool, they began building tools directly, which not only improved speed but also led to better-quality products that aligned more closely with their existing systems. The transition was quick, taking just a couple of sprints, demonstrating how agile small startups can be compared to larger enterprises. While incumbent low-code platforms like Retool are adapting their marketing to emphasize AI capabilities, the article suggests they may struggle to keep pace with the evolving demands of users. The author highlights a critical decision-making framework: assessing whether a platform can genuinely enhance a team’s speed and value creation. Their conclusion is clear; for Cloud Capital, abandoning low-code for in-house tools has resulted in greater efficiency and satisfaction for both developers and end-users.