The DoD can scale mission impact faster by investing in reusable platforms and automated guardrails instead of treating headcount and hours as proxies for software value.
In Silicon Valley, the goal of every elite engineering team is leverage. A single engineer at a high-growth tech company might write a piece of code that impacts a billion users. They don’t solve every problem by hiring more people; they solve repeatable problems by building better abstractions. They scale impact faster than they scale headcount.
In the Department of Defense, we too often default to the opposite.
When a mission is failing or a software project is behind schedule, the immediate reflex of the bureaucracy is to “throw bodies at the problem.” We measure the importance of a program by the size of its budget and the number of Full-Time Equivalents (FTEs) assigned to it. We have been conditioned to believe that more people equals more progress.
But in the world of software, the opposite is often true. Adding more people to a late software project can make it even later. It’s time for a reality check: The DoD is trying to solve a technology problem with a labor-centric mindset, and it is costing us the tactical edge.
The root of the issue isn't just the law. With recent acquisition reforms, the regulatory path for buying modern technology is becoming clearer. The FAR and DFARS are not the only bottleneck. The harder bottleneck may be cognitive: the FTE Trap.
The government has spent decades buying “butts in seats,” reinforcing a mental model where “effort” becomes a proxy for “value.” Too often, we calculate “Impact per Dollar” as “Hours per Dollar.” Hours are easy to count. Headcount is easy to count. Leverage is harder to see.
This is a linear strategy in an exponential world.
When you solve every problem by adding people, your costs tend to rise alongside your capability. When you solve repeatable problems with technology—with productized platforms and automated guardrails—capability can scale much faster than the labor required to sustain it.
This is where the economics of the delivery model begin to matter. Is your labor creating reusable leverage, or is it being consumed recreating the same capability program after program?
Services Drag is what happens when you hire 50 contractors to manually integrate a DevSecOps pipeline for every new program. You are paying for their learning curve, their manual errors, and their billable hours. You aren't necessarily buying a solution; you’re buying a permanent dependency on a delivery model whose economics depend on continued labor.
Product Lift is what happens when you buy a platform like SmoothGlue. You are buying the distilled expertise of thousands of engineering hours in a repeatable, scalable system. You are using technology to do the work that previously required an army of integrators.
The goal isn't to eliminate people; it’s to stop consuming engineering talent on repeatable work that software can handle better. We should be using our human capital to solve the 20% of the mission that is truly unique—the novel algorithms, the edge-case logic—not the 80% that is just plumbing and scaffolding.
We’ve seen what that leverage looks like in practice. A relatively small core team can support hundreds of mission applications because upgrades, integration patterns, policy enforcement, deployment workflows, and operational guardrails are engineered once and reused instead of recreated program by program.
Related: The Paradigmatic Difference Between a Software Project and a Software Product
We need to stop asking “How many people do we need for this project?” and start asking “How much leverage can we give the people we already have?”
If we continue to measure success by the size of our teams rather than the capability they can deliver, we risk optimizing for effort while our operational demands continue to accelerate.
The warfighter doesn't need a larger team of contractors in Virginia; they need the mission logic to work on the hardware in their hands. It’s time to stop scaling hours, start scaling impact, and treat technology as the solution—not just another line item for labor.
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