The rise of autonomous AI developers is anticipated to streamline software development by performing tasks described to them, although current AI developers are not yet fully competent and reliable. However, with tools like Replay, which analyzes application data flow, AI can effectively fix issues from minimal prompts. This approach, demonstrated in fixing browser test failures, shows that providing AI with sufficient information enables them to generate reliable solutions. The process involves configuring projects for AI developers, using Replay to record and annotate problems, and producing pull requests with before-and-after documentation, while the AI refines solutions based on logs and feedback. This workflow promises to expedite new feature development, bug fixes, and backlog reduction, and feedback is sought for a prototype tool integrating Replay with OpenHands.