CI/CD pipelines evolve through various maturity stages, beginning with the initial stage where basic practices are established and manual interventions are common. As organizations advance, they reach the Managed stage, where automation is improved but efficiency and scalability issues might persist. The Defined stage involves setting clear metrics and proactively enhancing pipeline performance. In the Quantitatively Managed stage, metrics guide continuous improvements, while the Optimizing stage represents peak maturity, allowing teams to focus on strategic enhancements. To mature pipelines, organizations can implement best practices such as creating comprehensive dashboards for visibility, using DRY templates for consistency, speeding up builds with parallel testing and caching, resolving flaky tests, monitoring Git repo sizes, and transitioning from static to dynamic pipelines. Dynamic pipelines offer flexibility and efficiency by generating build steps in real-time, though they require more initial setup. Ultimately, maturing a CI/CD pipeline enhances software delivery by making it more predictable, reliable, and efficient, with advanced practices facilitating continuous improvement.