Debugging distributed systems is a complex challenge due to their inherent intricacy and the need for effective cross-functional collaboration. As systems evolve into numerous microservices, the potential failure points increase, making it difficult for teams across various domains, such as frontend, backend, infrastructure, and data, to align their understanding and approach. Verbal and written communication often falls short due to the rapid decrease in accuracy as system complexity rises, necessitating visual aids to unify mental models and reduce misunderstandings. The debugging process is frequently time-consuming, involving information gathering, alignment meetings, and manual reconstruction of events, which delays resolution and frustrates customers. The future of debugging advocates for an integrated visual approach, where issues are automatically captured and presented as synchronized user sessions, allowing teams to easily annotate and collaborate, and even leverage AI tools for analysis. This method aims to streamline troubleshooting, reduce communication barriers, and enhance the efficiency of resolving technical problems.