This guide details how to build and configure custom autograder scripts for Python assignments on the Gradescope platform. It emphasizes the importance of pinning exact dependency versions in `requirements.txt` to prevent silent failures caused by library updates. The article outlines the necessary files for a Gradescope autograder, including `setup.sh` for installing dependencies and `run_autograder` which is executed for each submission, with the goal of producing a `results.json` file for grading. AI
IMPACT Provides a technical guide for educators using AI-powered grading tools.
RANK_REASON The article provides a how-to guide for a specific educational tool, Gradescope, rather than announcing a new product or research.
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