What is an agent loop in Claude Code?
A Claude Code agent loop is the repeating cycle the agent runs to finish a task without you driving each step. It gathers context, takes one action, checks whether that action worked, and then decides what to do next. It keeps looping until the goal is reached or it hits a limit you set.
This is the core difference between a chatbot and an agent. A chatbot answers once and stops. An agent loops: read, act, verify, repeat. That loop is why Claude Code can edit many files, run commands, fix its own errors, and come back with a working result instead of a suggestion you have to apply yourself.
You do not type the loop. You give the agent a goal in plain language, and the loop is what happens under the hood. Your job is to define the goal clearly and set the guardrails. The agent handles the iteration.
The CCC loop: the four steps every agent loop runs
Every agent loop in Claude Code, simple or complex, runs the same four steps. We call it the CCC loop, and naming it makes the agent's behavior predictable instead of magical. Once you can see these four steps, you can steer them.
- Gather: the agent reads the context it needs - your prompt, the relevant files, command output, and any connected tools or data.
- Act: it takes one concrete step - edits a file, runs a command, calls a tool, or writes new code.
- Verify: it checks the result of that step - reads the error, runs the test, confirms the file changed as intended.
- Repeat: it uses what it learned to decide the next action, and loops back to Gather until the goal is met.
How to run your first agent loop
Running your first agent loop takes one good prompt, not a config file. The skill is writing a goal the loop can actually finish and verify. Here is the exact sequence we teach inside Claude Code Club.
- Open Claude Code in the desktop app, the web, your IDE, or the terminal - any of them runs the same loop.
- Point it at a real project folder so the Gather step has context to read.
- Give it a goal with a finish line: not 'improve this code' but 'add input validation to the signup form and make the existing tests pass'.
- Tell it how to verify: name the test command, the build, or the exact output you expect to see.
- Let the loop run, and watch the Act and Verify steps scroll by. Step in only when it asks or when it drifts.
That is the whole move. The agent will loop through Gather, Act, and Verify on its own, often many times, before it hands you a finished change. If you want a guided first build, our [build your first AI agent with Claude Code](/blog/build-your-first-ai-agent-with-claude-code) walk-through gets you a working result the same day.
Single-task loop vs multi-step loop
Not every loop is the same size. A single-task loop fixes one thing. A multi-step loop chains many actions toward a larger goal, sometimes splitting work across subagents that each run their own loop. Knowing which one you are asking for keeps your expectations and your guardrails right.
Two shapes of Claude Code agent loop
| Single-task loop | Multi-step loop | |
|---|---|---|
| Goal | One clear change | A feature or a workflow |
| Iterations | A handful | Many, often nested |
| Verify against | One test or output | A checklist of outcomes |
| Best for | Bug fixes, small edits | Building or refactoring |
| Watch for | Wrong assumption | Drift from the goal |
Multi-step loops are where Claude Code earns its keep, but they also drift further if the goal is vague. The fix is the same as always: a sharp goal and a clear way to verify each milestone. For when to reach for subagents inside a big loop, see [skills, subagents, MCP, and hooks: when to use each](/blog/claude-code-skills-subagents-mcp-hooks-when-to-use).
How to keep an agent loop on the rails
A loop is only as good as its guardrails. Left undefined, an agent can loop on the wrong assumption, edit files you did not mean to touch, or keep going long after it should have stopped to ask. These are the rails that keep a loop productive.
- Give it a finish line. A goal with a clear 'done' state ends the loop cleanly instead of letting it wander.
- Give it something to verify against. A test, a build, or an expected output turns guessing into self-correction.
- Scope the blast radius. Tell it which files or folders are in play so it does not edit beyond the task.
- Set a checkpoint. Ask it to pause and confirm before anything risky or hard to undo.
- Read the Verify steps. If the loop keeps 'fixing' the same thing, the goal was ambiguous - stop and sharpen it.
Let the loop run while you are away
Once you trust a loop, the next unlock is letting it run without you watching. The same Gather, Act, Verify cycle can run headless, on a schedule, or kicked off by an event - so the work happens while you sleep and you review the result in the morning.
That is exactly what we cover in [schedule Claude Code agents while you sleep](/blog/schedule-claude-code-agents-while-you-sleep) and [Claude Code auto mode that runs on its own](/blog/claude-code-auto-mode-runs-on-its-own). Master the loop first, then automate it - in that order, because an unattended loop with weak guardrails just makes mistakes faster.
Frequently asked questions
What is an agent loop in Claude Code?
An agent loop is the repeating cycle Claude Code runs to finish a task on its own: it gathers context, takes an action, verifies the result, and repeats until the goal is met. It is the reason the agent can edit files, run commands, and fix its own errors instead of just answering once.
Do I have to write the loop myself?
No. You give Claude Code a goal in plain language and set the guardrails. The loop runs under the hood automatically. Your job is to define a clear finish line and a way for the agent to verify its own work.
Why does my agent loop keep going in circles?
Usually because the goal is ambiguous or there is no way to verify success. Give the loop a clear 'done' state and something concrete to check against, like a test or an expected output, and it will self-correct instead of repeating the same step.
How is an agent loop different from a chatbot?
A chatbot answers once and stops. An agent loops: it reads, acts, verifies, and repeats until the task is finished. That iteration is what makes Claude Code an agent rather than a chat window.
Can an agent loop run without me watching?
Yes. The same loop can run headless, on a schedule, or triggered by an event, so the work happens unattended and you review the result afterward. Learn the loop manually first, then automate it so the guardrails are solid before it runs alone.
How do I keep a long agent loop from going off track?
Give it a finish line, a way to verify each step, and a scoped set of files to work in. Add a checkpoint so it pauses before anything risky. Those rails keep a multi-step loop pointed at the goal instead of drifting.
Last reviewed by David Iya on June 23, 2026
