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Coding agent vs AI assistant: who does the work?

A coding agent runs the build; an AI assistant advises it. How autonomy, verification, and policy change the way you should use each.

Updated 2026-08-22Reading time 5 min

Assist, or execute?

An assistant produces text — code, explanations, plans — and you apply it. A coding agent applies it too: writes files, runs the build, reads the errors, fixes them. The assistant optimizes your typing; the agent optimizes the loop. The chess demo shows the agent version end to end.

What the agent loop adds

  1. Plan: the agent writes the steps before touching anything.
  2. Execute: files, commands, tests — under policy.
  3. Verify: it reads its own output and checks against the plan.
  4. Report: a trace you can audit, like the Deep Dive view.

Where assistants stay the right tool

  • Design discussions and architecture questions.
  • Small edits where the context is in your head, not the repo.
  • Anything you would never let a machine run unattended.

Where agents earn their keep

  • Scaffolding a project end to end.
  • Migrations and refactors with tests as the safety net.
  • Boring repeats: the same deploy check every night via cron.

The controls that make execution safe

Execution is only safe with boundaries: sandboxing, secure mode, and audit logs. Compare the broader landscape in agent vs Copilot.