Architectural Technical Debt (ATD) poses a significant challenge to software development due to its complexity and the difficulty of detection compared to code-level technical debt. While code-level issues like poor naming and duplication are localized and can be resolved in isolation, ATD encompasses broader, more intricate problems that often become apparent only as projects mature. Ineffective strategies such as major refactoring, building on unstable foundations, and attempting to preemptively tackle ATD often fall short, leading to escalating maintenance costs and development slowdowns. Effective management of ATD involves proactive measures, including real-time system visibility, collaborative debugging workflows, and regular architectural reviews to address debt incrementally and maintain the long-term health of software systems. Tools that offer full-stack visibility and session-level observability are crucial, enabling teams to bridge gaps between documented architecture and real-world implementation, thereby facilitating efficient problem-solving and strategic refactoring.