Free AI Tokens Are Only Half the Deal — the Free Server Is the Other Half

Description and use

The script demonstrates how to use free tokens and the MonkeyCode free server to generate, execute, and measure code, automatically cleaning up the workspace.

Problem

Developers often over-optimize model selection while neglecting the execution environment, leading to failed free-tier workflows because there is no cheap compute to run generated code.

Outcome

The script successfully generates tests, runs them on the free server, reports token consumption, and cleans up the workspace, validating the free server as a viable compute resource.

Workflow

• Create a temporary workspace
• Seed a tiny function (add.py)
• Generate pytest tests using MonkeyCode CLI
• Run the generated test suite on the free server
• Print token usage report
• Automatically delete the workspace

Evidence

Free model tokens are now the easiest AI resource to obtain, and free compute that can actually execute the generated code is the scarcer one.

Source

The workflow below generates a test file from the free model, executes it on the free server, reports token usage, and deletes the entire workspace when the job finishes.

Source