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Open Source Isn't Dead. Cal.com Just Learned the Wrong Lesson
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Overview
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.
Summary from strix.ai.
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Community reactions
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Hacker News · strix.ai
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Based on 5 sampled comments from this thread. Analyzed 2026-04-15.
- Praise: 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.
- Praise: Automated pentesting for open source projects can enhance security posture, making it easier for developers to identify and fix issues before they are exploited.
- Praise: The ability for AI to assist in vulnerability discovery may encourage more frequent and transparent security audits, benefiting the entire open source community.
- Concern: 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.
- Concern: Closed source software may exploit AI to avoid transparency in security practices, creating a false sense of security while potentially leaving vulnerabilities unaddressed.
- Concern: 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.