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What Is an AI Coding Agent?
An AI coding agent is a tool that uses a large language model to carry out programming tasks with little step-by-step input: it reads a codebase, edits files, runs commands and tests, and repeats until the task is done. Examples include Claude Code, OpenAI Codex, Cursor's agent mode, GitHub Copilot's coding agent, Cline and Aider.
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How AI Coding Agent Works
Autocomplete tools suggest the next few lines while you type. A coding agent takes a goal instead, such as 'fix this failing test' or 'add pagination to the users endpoint', and works in a loop: the model plans a step, calls a tool (read a file, search, edit, run a shell command), reads the result and decides the next step.
Agents run in different places. Terminal agents such as Claude Code, Codex CLI and Aider work in your local repository. Editor agents such as Cursor and Cline run inside the IDE. Cloud agents such as GitHub Copilot's coding agent work in a remote environment and open a pull request for you to review.
Why Developers Use AI Coding Agent
Developers use coding agents for well-scoped tasks: fixing bugs with a clear reproduction, writing tests, migrating code to a new API or version, and building prototypes. Results depend on context. A clear task, a project instructions file (such as CLAUDE.md or AGENTS.md) and a test suite the agent can run all raise the success rate. A human still needs to review every change.
Key Concepts
- Agent loop — The model repeats plan, act (call a tool), observe (read the result) until the task is done or it needs input.
- Tool use — The model calls defined tools such as file read, file edit, search and shell; MCP servers can add more.
- Context window — The amount of code, instructions and tool output the model can consider at once; agents search and read selectively to stay within it.
- Permissions and sandboxing — Settings that control which commands and files an agent may touch without asking, to limit damage from mistakes.
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Frequently Asked Questions
What is an AI coding agent used for?
Coding agents are used to fix bugs, write tests, refactor and migrate code, explain unfamiliar codebases and build prototypes. They work best on tasks with a clear goal and a way to check the result, such as a test that must pass.
What is the difference between an AI coding agent and AI autocomplete?
Autocomplete predicts the next lines inside the file you are editing. A coding agent works across the whole project: it decides which files to read and change, runs commands, checks the output and keeps going until the task is finished.
Is vibe coding the same as using a coding agent?
No. Vibe coding, a term Andrej Karpathy coined in February 2025, means accepting AI-generated code without reading it closely. A coding agent is a tool, and developers can use one with careful review or without it.