The four levels of agentic development

The SDLC was built on one assumption: a human at every stage. That assumption is breaking down, and the platforms built to serve it are not equipped for what comes next.
Mallory walks through the four levels of Agentic Development and how the human role shifts across each one - from approving every line, to verifying outcomes rather than diffs, to setting the constraints that govern autonomous execution. She introduces the Agentic SDLC, and maps what a platform needs to evolve through the levels beyond a traditional IDP: non-human identity, governed workspaces, evaluation infrastructure, and observability that acts as a lifecycle trigger rather than a read-only dashboard.
To make the levels concrete, she maps each one to the platform capabilities that become load-bearing as agent autonomy increases, showing exactly where an IDP's architecture holds, where it bends, and where it breaks. Mallory also describes what to build first, what to define before you build it, and the shift from optimizing for developer speed to optimizing for governed agentic throughput.