student-codebase-audit

Automate student code grading by auditing submissions against design contracts, rubrics, and architecture specs to verify API compliance and test coverage, generating evidence-backed findings and feedback automatically.

Requirement traceability in student code review links every assignment requirement to concrete code evidence, citing exact file paths and line numbers to verify implementation compliance rather than relying on general style preferences.

Generate student-safe feedback by automatically splitting student-facing feedback from private instructor notes during the codebase audit, ensuring hidden rubrics and grading shortcuts remain completely confidential.

Yes, you can audit incomplete submissions because the process includes blocked verification handling for incomplete or missing submission artifacts, ensuring edge cases like missing design documents or broken environments are managed non-destructively.

Code review grading works for machine learning project submissions by verifying compliance with required configuration structures, API design, and test coverage, scaling efficiently to handle grading large batches of student repositories.

The best way to check design compliance is applying design-first principles to trace assignment requirements to concrete code evidence, generating an audit report with pass, fail, and drift results for consistent grading.