CodeSentinel: An Explainable AI Framework for Risk-Aware Pull Request Review

CodeSentinel, an explainable AI framework for risk-aware pull request review.

CodeSentinel, an explainable AI framework for risk-aware pull request review. This reference project walks through the whole job, from the problem and the design to the build and the evaluation, so that a developer can study how it works, run it and extend it.

It suits learners who want to practise engineering discipline: requirements, design, implementation, automated testing and measuring software quality.

The main parts are explanations of each result (feature importance or visual evidence), a clear requirements and design document, the working implementation, automated tests with quality metrics, and a report on what the measurements show. The reference build uses SHAP, Python, Git, Docker, and pytest, with a clear project structure, setup instructions and sample data so that it can be run and extended.