In 2025, software engineers commonly use AI coding assistants, and the author shares his experiences working on a project to transition API endpoints from Split to Harness, following Split's acquisition by Harness. The project involved updating an API client to accommodate new Harness endpoints while maintaining functionality for existing Split endpoints, which proved challenging due to differences in API structures. The author describes leveraging AI tools like Claude AI within the Windsurf IDE to assist with code generation and problem-solving, emphasizing the need for clear design goals and iterative testing. Despite initial difficulties, such as AI-generated "AI Slop" and compatibility issues with the OpenAPI generator, the author ultimately found AI tools to be significant time savers when used judiciously. The experience highlighted the importance of maintaining a strong understanding of the desired outcomes and actively managing AI-generated code to ensure it meets project requirements. The author concludes with lessons learned about using AI assistants effectively, drawing a parallel to the legend of John Henry to illustrate the potential efficiency gains AI can offer in software development.