ai-safety vulnerability-discovery open-source continuous-defense

Open Source Isn't Dead. Cal.com Just Learned the Wrong Lesson

strix.ai

April 15, 2026

1 min read

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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.

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Hacker News · strix.ai

Open Source Isn't Dead. Cal.com Just Learned the Wrong Lesson ↗

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Community Sentiment

Mixed

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.