An AI coding assistant helps a developer inside an active workflow, while an AI coding agent can plan and execute a larger task using tools with less step-by-step direction. The boundary is not absolute, but autonomy and task scope are the main differences.
| Capability | Coding assistant | Coding agent |
|---|---|---|
| Typical task | Complete or explain code | Implement and validate a feature |
| User role | Directs each step | Defines goals and reviews outcomes |
| Tool use | Often limited or interactive | Reads files, edits, runs commands and tests |
| Planning | Short local suggestions | Multi-step task decomposition |
| Duration | Seconds or minutes | Minutes to hours |
Modern products often combine both modes. Inline completion is efficient when a developer already knows the next line; an agent is more useful when the work spans files, tests, and dependencies.
Verdent supports agentic workflows through planning, multi-file execution, worker dispatch, and review. That does not remove human accountability. Developers should provide acceptance criteria, constrain permissions, inspect changes, and verify production-sensitive behavior. The right mode depends on the task: use assistance for precise local edits and agents for bounded outcomes that can be tested.
