Intent-Driven Development Changes the Shape of Risk

Agentic coding increases throughput in ways that are now observable in practice. Tasks that previously required sustained effort can be implemented quickly, boilerplate largely disappears, and refactors that were once deferred become cheap enough to attempt. By intent-driven development , I mean working at the level of describing outcomes and constraints while an AI agent generates the implementation. It is what many people call agentic coding, but the emphasis shifts from typing code to specifying intent. The implementation phase compresses while verification does not compress at the same rate, and that shift changes the risk profile. Abstraction Shifts Always Redistribute Risk Every abstraction shift in software increased leverage and redistributed responsibility. Managed runtimes reduced memory errors but made runtime behaviour and performance characteristics more important. Cloud infrastructure made distributed failure explicit and forced investment in reliability engineering. CI/C