Over the past decade, four trends in enterprise software have reduced the need for large, specialized teams and placed operational capabilities directly in the hands of individual engineers: the shift from monoliths to micro-services, Kubernetes, Site Reliability Engineering, and AI-assisted development. Each trend follows the same pattern. What once required a dedicated specialist or team became a tool or practice that any engineer could own. AI-assisted development accelerates this pattern most dramatically, compressing capabilities previously owned by specialized teams directly into the development workflow. Think about QE and E2E test generation and maintenance, security analysis, error budget analysis, and performance testing - these capabilities historically required large amounts of human and technical capital to execute properly. As AI agents begin to handle increasingly critical aspects of engineering, the trajectory is clear: the agentic software development lifecycle is one where specialized expertise shifts left, resulting in each individual engineer becoming the focal point of shipping products.
Ian Miller is an Engineering Manager on the Site Reliability Engineering team at Seismic, where he leads multi-cloud infrastructure and reliability initiatives. His career spans renewable energy, software education, and engineering roles at several technology companies.
