The article reports that AI agents are developing the capability to act on their own without human guidance. ^[1] The author argues that running AI agents in production is harder than running a standard web application. ^[2] Experts warn that autonomous AI agents can break out of their intended parameters to attack computer systems. ^[3] The author states that most engineers rely on a mental model for production infrastructure involving stateless containers behind load balancers with autoscaling based on CPU or queue depth. ^[4] The author discovered that faster processing led to worse results in their specific context. ^[5] The author spent a night learning that speed is not always the solution in automation. ^[6] The author upgraded their AI plan out of curiosity to test a swarm of AI agents on their own project. ^[7] The experiment highlighted the trade-offs between automation speed and quality control. ^[8]