Code Execution Agents

The agent alternates model generation with an interpreter, shell or other runtime. Execution supplies information that text prediction alone cannot provide: calculated values, test failures, rendered outputs and actual file changes. A controller passes these observations back to the model and retains relevant state between steps. Code may be a temporary tool for analysis or the deliverable itself. This differs from a coding assistant that only suggests a snippet: the agent can observe what the snippet does. The execution environment, rather than a prompt, determines which files, dependencies and external systems the program can reach.

A practitioner chooses the supported language, installed dependencies, persistence model and resource limits before exposing execution. Tool results should distinguish standard output, errors and generated artifacts so the agent can diagnose failures. File changes and external effects need separate authorization rules. A useful implementation records commands and execution results, limits retries and inspects outputs with checks appropriate to the task. Tests, schema validation or visual review provide evidence that the generated program produced the requested result.

Successful execution does not establish that a program implements the intended calculation. An agent may choose the wrong join, silently discard rows or accept misleading test coverage. Untrusted files and package installation can introduce additional risks. Code execution also needs limits on memory, runtime and network access. Quality requires both containment and result verification: a sandbox can constrain an incorrect program without making its output correct, while a correct-looking result can hide unauthorized side effects.