My Mental Model for "Is It Worth Automating?" Has Changed (hermanschaaf.com)

In a recent article, a solo game developer shared insights on how advancements in AI coding agents have dramatically shifted the cost-benefit analysis of automation. By mid-2026, these AI tools have become proficient enough to streamline coding tasks that were previously deemed too complex or time-consuming to automate. For example, the developer utilized AI to create playtesting bots, sync data with APIs, and even automate screenshot captures—tasks that would have taken days to accomplish by hand. The newfound capability allows for the rapid development of "disposable scripts," which serve specific problems and require minimal maintenance, revolutionizing the approach to repetitive coding tasks. This shift is significant for the AI/ML community as it highlights a broader acceptance and integration of AI tools in software development. The ease of automation not only saves developers precious time but also lowers the barrier for pursuing automatable tasks, previously neglected due to high overhead costs. However, the developer noted some drawbacks, such as diminished learning opportunities and increasing reliance on AI-generated code. Overall, this evolution in automation philosophy encourages developers to reconsider not only what can be automated but also how they approach coding and problem-solving in dynamic environments.