AI agents are moving from hype to reality – acting autonomously across systems, not just assisting engineers.
Unlike copilots, which accelerate tasks in response to prompts, AI agents act with autonomy. They plan, sequence, and execute tasks across systems: provisioning infrastructure, filing tickets, initiating deployments, or orchestrating multi-step processes that no single script could manage alone.
For engineering leaders, this creates a structural change in how work is organized, decisions are made, and accountability is distributed.
From assistants to agents
AI copilots such as GitHub Copilot and Cursor have already become part of the engineering toolkit.