ORBIOOM / AIA sequence, not a single answer
A traditional coding assistant is often asked a narrow question and returns a narrow answer. An agentic workflow begins with an outcome. The system can inspect relevant files, form a plan, make a focused change, check its result, and explain what it found.
The difference is not magic autonomy. It is continuity. Each action is informed by the previous one, and the developer can interrupt, redirect, or narrow the work at any point.
Context is the real interface
The quality of an agent's work depends on what it can responsibly understand: the repository, the task, existing conventions, the current branch, and the constraints around a change. Good context helps an agent ask better questions and avoid changes that look plausible but do not belong.
That is why agentic coding needs a workspace, not just a chat window. Context should be visible, scoped, and easy for a developer to correct.
Control makes autonomy useful
The most important interaction is often the moment before an action. People should be able to see what an agent is about to change, approve consequential steps, and recover when a direction is wrong. Control is not friction when it preserves trust.
For everyday work, this means keeping plans legible, changes reviewable, and the final responsibility with the person building the product.
TakeawayAgentic coding works best when it turns a goal into visible, reviewable progress—while the developer keeps context and control.