Software delivery has spent thirty years managing human inconsistency. Two developers interpret the same requirement differently. A third forgets an edge case. A fourth ships something untested on Friday. So you built process around it. Standups, sprint reviews, merge gates, retrospectives.

That process was solving a real problem. The problem is changing.

When implementation becomes agentic, you stop managing variance between ten engineers. You’re managing a system that produces consistent output at volume, with failure modes that look nothing like what Jira was designed to track.

The compiler analogy holds here. Nobody reviews compiled bytecode in a pull request. You validate the source, trust the compiler, and monitor runtime behavior. Specification in. Behavior out. You test the contract, not the intermediate steps. Agentic code delivery is heading toward the same model.

Teams already operating near this boundary aren’t running two-week sprints. They’re investing in three things: prompt discipline (what goes in), evaluation frameworks (how correct output is defined), and observability (what happens at runtime). The constraint has moved from writing code to specifying behavior and catching drift when it occurs.

The Scrum Master role was an answer to a specific organisational problem. That problem is dissolving. New ones are forming around specification quality, automated validation, and governance of systems you didn’t write line by line.

Audit your ceremonies against the risks they were built to manage. Some of them no longer apply.