What Forward-Deployed Engineers Do in Enterprise AI

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    Video summary

    Eno Reyes describes forward-deployed engineering as a bridge between customer environments and the core product team, not a rebranded consulting service. The role studies how an organization builds software, identifies repeatable obstacles and feeds those lessons back into the product.

    A central idea is the software factory: signals such as customer requests, bug reports and internal plans move through prioritization, implementation, validation and deployment. AI can automate more of that flow, but only when teams build reliable feedback loops, preserve governance and connect the work to measurable business outcomes.

    Eno Reyes argues that agent readiness depends on deterministic checks such as tests, type checks, security scans and other validation signals. Forward-deployed engineers help teams redesign workflows around those checks, prepare bounded tasks for long-running agents and teach engineers to manage systems that build software rather than manually directing every change.

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