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How do AI coding agents work?
An AI coding agent pairs a language model with a set of tools — reading and writing files, running commands, searching code — and wraps them in a loop: it plans a step, acts, observes the result, and adjusts. That loop is what lets it complete real tasks instead of just answering.
The agent loop
At each step the model decides what to do next based on the goal and everything it has seen so far. It might read a file, make an edit, run the tests, or ask you to approve an action — then it observes the outcome and continues until the task is done.
The tools that matter
- File editing across many files at once
- Command execution (builds, tests, scripts)
- Code search and language intelligence
- Integrations via MCP
- Delegation to subagents
Control points
Good agents add plan mode and permissions so you approve the approach and any risky action. FreeCoder is a free agent built this way — see it in a first session.
Get started free
You're one command away. On Windows, paste this into PowerShell:
irm https://freecoder.space/install.ps1 | iex
Then run freecoder and open your project. Full steps in the getting-started guide.
Plan, act, observe, correct — repeat. That loop is what makes an agent an agent.
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irm https://freecoder.space/install.ps1 | iex — then follow the getting-started guide. Free, unlimited, no card.