KKKKhazix/agent-autoloop

This analysis reveals severe performance liabilities within `agent-autoloop`, stemming from linear scaling overheads in I/O, computation, and data access. Excessive `heartbeat` writes, full re-calculation of due tables on every input, and repeated parsing/freezing of configuration objects represent critical inefficiencies. These issues will directly impact scalability, increasing operational costs and degrading performance as worker counts or task histories grow. For a B2B SaaS offering background agent orchestration, such bottlenecks are detrimental. They limit the system's ability to handle enterprise workloads, leading to higher infrastructure expenses and potential service degradation. Proactive measurement and optimization, particularly through throttling, incremental updates, and caching, are imperative to achieve enterprise-grade performance and cost-efficiency.