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62 automatically directed to agents with the WinAppDriver pre-installed, while macOS scenarios are dispatched to Mac-based nodes. Finally, the optimization of CI/CD pipelines must include advanced result aggregation and failure analysis. In a parallelized environment, logs and artifacts are generated across multiple nodes simultaneously. A unified reporting layer is required to consolidate these outputs into a single dashboard, providing a clear view of the build health across all platforms. By implementing automated retry logic for flaky tests and utilizing resource monitoring to adjust agent counts dynamically, organizations can create a self-scaling automation infrastructure. This level of optimization not only accelerates the release process but also enhances the overall reliability of cross-platform software deployment in complex enterprise settings. The optimization of CI/CD pipelines for cross-platform desktop automation is a multi-faceted challenge that requires a strategic approach to resource orchestration and agent management. By implementing advanced parallelization techniques and transitioning to dynamic, ephemeral runner environments, organizations can achieve a significant reduction in feedback latency and infrastructure maintenance costs. The integration of platform-specific routing and unified reporting further enhances the stability of the delivery process. Ultimately, creating a scalable and resilient CI/CD infrastructure is essential for maintaining high software quality and competitive release velocity in modern enterprise development environments. REFERENCES: 1. Humble, J., & Farley, D. (2010). Continuous Delivery: Reliable Software Release through Build, Test, and Deployment Automation. Addison-Wesley Professional. 2. Kim, G., Humble, J., Debois, P., & Willis, J. (2016). The DevOps Handbook: How to Create World-Class Agility, Reliability, and Security in Technology Organizations. 3. Azure DevOps Documentation. Parallel jobs in Azure Pipelines. URL: