Learn · Coding agents
A coding agent is an AI tool that can write, edit, run, and debug code across a whole project, not just suggest the next line. You give it a task in plain language, and it reads the relevant files, makes changes across several of them, runs tests, and fixes what breaks, working in a loop until the job is done.
This is a step up from autocomplete. Early AI coding tools finished the line you were typing. An agent takes a goal like "add a login page" and carries out the many steps that involves, checking its own work along the way.
As of 2026, coding agents are a standard part of professional development. Used well, they handle the routine mechanics so developers spend more time on design and judgment. Used carelessly, they produce code nobody reviewed.
Updated July 2026
Related
A code assistant suggests completions and answers questions while you drive: it finishes lines, explains errors, and drafts snippets on request. A coding agent takes a goal and executes the multi-file, multi-step work itself, running commands and tests. The assistant helps you type. The agent does the task.
A coding agent wraps an AI model in a loop with access to tools: reading and writing files, running terminal commands, and running tests. It reads your request, inspects the relevant code, makes an edit, runs the code to see what happens, reads the result, and repeats until the task passes or it gets stuck.
AI-generated code is safe to ship only after a human reviews it, the same standard you'd hold any code to. Agents write plausible code that usually works, but they can introduce security holes, miss edge cases, or use an outdated pattern, and they do it with the same confidence as when they're right.