Before your AI bottleneck gets worse: what to put in place now

As AI agents proliferate across developers’ laptops, coding tools, and CI systems, teams often acquire an unplanned platform layer that determines model selection, compute location, infrastructure access, and oversight. The post argues that extending existing CI or allowing individual setups to accumulate can create costly vendor dependencies, limited visibility, and weak governance as agent use grows, while a deliberately selected layer can support model portability, task-appropriate costs, infrastructure flexibility, audit trails, human approval gates, and isolated workflows. It notes that such planning is less important for temporary projects or teams still limited to autocomplete, but recommends making a deliberate, reversible choice before agent workflows become widely embedded. Upsun presents its standalone Dispatch product as a platform intended to provide this governance without requiring customers to use Upsun Cloud.

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