AI-Powered Link Analysis (Fallback Mode)
Executive Summary
Analyzed 78344 links with 10680 failures (82.1% success rate).
Root Cause Analysis
Based on failure patterns, the most common issues are:
- Broken External: Primary failure category
- External Dependencies: Third-party sites may have availability issues
- Configuration Issues: Internal links may reflect Jekyll setup problems
Educational Impact Assessment
Link failures impact the learning experience by:
- Disrupting learning flow when students encounter broken references
- Reducing credibility of educational content
- Creating frustration during self-paced learning
Priority Recommendations
- Fix Internal Links: Highest priority - affects site navigation
- Review External Sources: Update or replace unreliable external references
- Implement Monitoring: Regular automated checks to catch issues early
- Documentation Updates: Keep resource links current and valid
Prevention Strategies
- Regular link health monitoring (weekly checks)
- Use archived links for critical external resources
- Implement redirect management for moved content
- Test links before publishing new content
Note: Enhanced AI analysis requires OPENAI_API_KEY configuration.