Rapid Platform Engineering

No IT project fails because developers didn’t write code fast enough. Projects fail when teams build the wrong solution, misread their users, work or deploy in inappropriate environments, or create systems so complex they collapse under their own weight. Generative AI should take aim at these problems. After all, smarter coding agents without smarter processes only help build the wrong things—faster.

In a multi-domain operational environment, Command and Control (C2) is not just a function, it is the foundation of mission success. As threats evolve with increasing speed and complexity, and data streams multiply from a growing array of sensors and sources, traditional C2 approaches are no longer sufficient.

Rows of vehicles and crates stretch as far as the eye can see—every Humvee, spare part, and weapons case a building block in the Army’s ability to fight. It looks like a warehouse, but it’s more than that; it’s the backbone of combat readiness. Each item represents time, money, and mission-critical capability—but only if the Army knows exactly where it is, its condition, and who is accountable for it.

The successful modern technology enterprise depends on the frequent, low-risk flow of value to end users. Flow, in turn, depends directly on a deliberate approach to how that value traverses from developer to user, including the infrastructure, security, networks, data, application architecture, user experience, and team-to-team interactions that comprise delivery. “Continuous delivery” isn’t the sum of all these parts; instead, it describes the state of these elements seamlessly working together in concert to enable value. A network of interconnected value that links the necessary handoffs between teams and systems is, ironically, a tight analogy for modern logistics and supply chains.