Generative AI turned code into something fast and inexpensive to produce. The scarce resource of software delivery has moved downstream, into the work that surrounds writing code: deciding what to build, validating what an agent produced, holding the architecture together, and keeping the work aligned with the people the system serves. A team that ships the wrong thing faster moves backward.
Agile in the AI Age makes a clear case. This is the moment Extreme Programming becomes the way serious teams operate, and the practitioner who compounds the most value is the experienced one. The senior premium is real, and it lives in judgment, in the orchestration of agents, in the calibration of tasks, in the control of output, in the structural decisions a model cannot make, and in the growing of the next generation of seniors.
The book works role by role, from the Product Owner to the developer, the tester, the architect, and the Release Train Engineer, and it names a new role for this period: the AI Champion. It maps where experience now pays, engages the evidence honestly, including the studies that complicate the story, and shows how to build the harness that keeps agents productive and accountable.
Written for the engineers, leads, and managers deciding how their teams work now, while the conditions are still being set.
