Vibe Code Cleanup for Education
Your AI-generated ed-tech platform has student data exposure, FERPA gaps, and accessibility failures. We fix the compliance and safety issues before they become incidents.
Variant Systems brings deep domain experience so you ship compliant, production-ready software from day one.
Why this combination
- AI code generators don't understand FERPA, COPPA, or student data privacy requirements
- Student data exposure in AI-generated code creates legal liability for schools and districts
- Accessibility isn't optional in education - it's a legal requirement that AI tools consistently miss
- We've cleaned up ed-tech codebases and know where AI-generated student privacy gaps hide
Why AI-Generated Ed-Tech Code Fails Compliance
Education platforms handle some of the most sensitive data imaginable: children’s personal information, academic records, behavioral data, and learning disabilities. AI code generators treat this data like any other user data. They don’t apply FERPA directory information rules. They don’t implement COPPA-compliant consent flows. They don’t restrict data sharing with third-party analytics.
The typical AI-generated education platform has student names and grades flowing through Google Analytics. Error reports sent to Sentry include student PII. The teacher dashboard shows data from students across multiple classes or schools because the authorization model is flat. A parent portal doesn’t verify that the logged-in parent is actually the guardian of the student whose records they’re viewing.
LMS integrations compound the problem. AI-generated LTI or API integrations with Canvas, Blackboard, or Google Classroom handle basic grade passback but fail on edge cases. Enrollment syncs break when a student transfers mid-semester. Assignment submissions get lost when the LMS webhook times out. Roster updates don’t propagate to access controls, so a student who dropped the course can still view materials.
Accessibility is the silent failure. AI-generated front-end code rarely meets WCAG 2.1 AA standards. Screen readers can’t navigate the course interface. Color contrast fails for students with low vision. Keyboard navigation is broken. In education, this isn’t just bad UX - it’s a legal requirement under ADA and Section 508, and school districts will reject your platform for it.
From PII Leaks to Accessibility Gaps
Student data exposure. We trace every piece of student PII through your entire application. We find it in analytics tags, error tracking payloads, API responses, log files, and third-party integrations where it doesn’t belong. We implement data classification so your code knows which fields are student PII and enforces appropriate handling automatically.
FERPA compliance gaps. We audit data access controls to ensure that teachers only see their students, parents only see their children, and administrators only see their school or district. We fix data sharing with third parties to comply with FERPA’s “school official” exception requirements. We implement proper consent workflows for directory information sharing.
COPPA violations. If your platform serves students under 13, we implement age-gating and parental consent flows that actually comply with COPPA. That means verifiable parental consent before collecting any personal information, proper data retention limits, and the ability for parents to review and delete their child’s data.
Accessibility failures. We run automated and manual accessibility audits against WCAG 2.1 AA. We fix critical issues: missing alt text, broken keyboard navigation, insufficient color contrast, form labels, ARIA attributes, and focus management. We prioritize fixes that block screen reader users and keyboard-only users from completing core workflows.
LMS integration brittleness. We stabilize your LTI, Canvas API, Google Classroom, and Clever integrations. Proper error handling, retry logic, roster sync reconciliation, and grade passback verification. When an integration fails, your team knows about it immediately instead of finding out from a teacher complaint.
Data Inventory First, Then Priority-Ordered Fixes
We start with a student data inventory. Every field that contains student PII gets classified and tracked. We map how that data flows from input to storage to display to sharing. This produces the data flow documentation that school district procurement teams will ask for.
Compliance fixes ship in priority order. Data exposure to third parties gets fixed first - that’s the highest risk and the easiest win. Access control hardening comes next. COPPA consent flows follow. Accessibility fixes are prioritized by impact: we fix the issues that completely block users before addressing the issues that merely degrade the experience.
For LMS integrations, we build monitoring that tracks sync success rates and alerts on failures. We add reconciliation jobs that detect when your platform’s roster doesn’t match the LMS and flag the discrepancy for resolution. Grade passback gets end-to-end verification.
Every fix gets automated tests. Student data isolation tests verify that teachers can’t access other teachers’ students. PII redaction tests verify that student data doesn’t leak into logs or analytics. Accessibility tests catch regressions in keyboard navigation and screen reader support.
Pass District Procurement and Stay Compliant
Your education platform passes procurement review. School districts get the data privacy documentation they require. Your Student Data Privacy Agreement responses are backed by actual technical controls, not just policy statements.
Students with disabilities can use your platform. Accessibility compliance isn’t something you promise and hope for - it’s tested on every deployment.
Your team ships new features for teachers and students without reintroducing privacy violations or accessibility regressions. The automated checks catch problems before they reach production. You win school district deals because your platform demonstrates genuine commitment to student safety, not just checkbox compliance.
What you get
Ideal for
- Ed-tech founders who used AI tools to build their learning platform
- Education startups preparing for school district procurement reviews
- Learning platforms that need to pass a Student Data Privacy Consortium assessment
- Ed-tech teams adding K-12 support to an existing platform