AI coding agents promise to move beyond autocomplete and take on larger units of software work. That could change engineering workflows, but it does not remove the need for architecture, testing and accountability.
Generation is becoming cheap
Producing code is getting easier. Understanding whether that code should exist, how it fits the system and how it will behave in production remains difficult.
Review becomes the bottleneck
Teams may find that verification, test design and code ownership become more valuable skills as generated output increases.
Autonomy needs boundaries
Organisations should decide what agents can change, what requires approval and what evidence must accompany an automated change.
