Middle school coding teacher struggles with students using AI to cheat on programming assignments, making it hard to detect and address academic dishonesty.

Existing plagiarism checkers don't detect AI-generated code or distinguish it from student work, especially in niche programming contexts like Minecraft API.

Severity

3Medium

Willingness to Pay

implied

Added

May 23, 2026

Workarounds Described

teacher manually trawling through browser history to check for AI use

Implied Software Gaps

Automated AI cheating detection tool that logs student activity and flags suspicious submissions without manual history review

App Concept

CodeIntegrity AI

A classroom tool that detects AI-generated code submissions by analyzing coding style, timestamps, and API usage patterns. It integrates with school LMS and provides an audit trail for each student, saving teachers hours of manual review.

Key Features

Real-time AI code detection using stylometry and API fingerprinting
Time-on-task analysis to flag abnormally fast completions
Easy integration with Google Classroom, Canvas, and other LMS
Teacher dashboard with per-student reports and evidence logs

Target Users: Computer science teachers in grades 6-12, especially those teaching coding with block-based or specialized APIs

Revenue Model: Freemium with $49/mo per school for up to 500 students, or $500/yr per teacher

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