AI-assisted development is rapidly transforming the way code is created, but it has exposed a significant workflow bottleneck that occurs after code generation, necessitating the manual use of multiple tools such as AI chat interfaces, IDEs, Git repositories, and CI/CD pipelines. This inefficiency is primarily due to the loss of context and the iterative nature of AI development, which current workflows struggle to accommodate. While the industry is advancing with smarter tools and closed platforms, these solutions fail to address the broader issue of seamlessly integrating tools to maintain context throughout the development process. Netlify positions itself as a platform focused on integration and flexibility, aiming to connect tools without replacing them, thereby reducing tool friction and enhancing developer efficiency. As AI adoption skyrockets, the need for an orchestration layer that ensures context continuity, validation checks, and flexible integration becomes increasingly urgent, suggesting that the future of AI development will be shaped by systems that prioritize connectivity over individual tool enhancements.