It reviews code for logical errors, structural issues, and adherence to best practices, providing annotated feedback. Faculty remain in the loop to validate outputs before release to students, ensuring fairness and quality. By automating repetitive review tasks, the system reduces instructor workload and accelerates student skill development.
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It reviews code for logical errors, structural issues, and adherence to best practices, providing annotated feedback. Faculty remain in the loop to validate outputs before release to students, ensuring fairness and quality. By automating repetitive review tasks, the system reduces instructor workload and accelerates student skill development.
Niranjan-coder4/-Review
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It reviews code for logical errors, structural issues, and adherence to best practices, providing annotated feedback. Faculty remain in the loop to validate outputs before release to students, ensuring fairness and quality. By automating repetitive review tasks, the system reduces instructor workload and accelerates student skill development.
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