Open Source Isn't Dead. Cal.com Just Learned the Wrong Lesson
strix.ai
April 15, 2026
1 min read
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64/100
Summary
AI has transformed vulnerability discovery, but closing source code does not eliminate potential attack surfaces. Implementing continuous AI defense strategies is a more effective response to these threats.
Community Sentiment
Positives
- The rise of AI tools for automated vulnerability discovery could lead to more robust security practices in open source projects, as developers become more proactive in addressing vulnerabilities.
- Automated pentesting for open source projects can enhance security posture, making it easier for developers to identify and fix issues before they are exploited.
- The ability for AI to assist in vulnerability discovery may encourage more frequent and transparent security audits, benefiting the entire open source community.
Concerns
- The reliance on AI for vulnerability discovery may lead to an influx of false reports from inexperienced users, complicating the security landscape for open source projects.
- Closed source software may exploit AI to avoid transparency in security practices, creating a false sense of security while potentially leaving vulnerabilities unaddressed.
- The shift to closed source by companies like Cal.com raises concerns about the long-term viability of open source projects, as they may struggle to compete without community support.
