# Hot take: AI's not going to kill open source code security

Published: 2026-04-26 · Updated: 2026-04-26 · Category: Open Source

Source page: https://www.sipply.dev/story/hot-take-ais-not-going-to-kill-open-source-code-security-104ccc0a · 中文: https://www.sipply.dev/zh/story/hot-take-ais-not-going-to-kill-open-source-code-security-104ccc0a

## Summary

Cal.com, a company known for its open-source scheduling software, has made a significant shift by transitioning from an open-source AGPL license to a proprietary model. This decision was primarily driven by security concerns associated with AI technologies. The move has ignited a lively debate within the developer community, with many developers arguing that open-source code inherently offers better security than proprietary software, as it allows for greater transparency and community scrutiny. This discussion highlights the ongoing tension between the perceived risks of AI and the foundational principles of open-source development.

## Key takeaways

- Cal.com's shift to a proprietary model raises questions about the security of open-source software in the age of AI.
- The developer community remains divided on whether open-source or proprietary models provide better security.
- Transparency and community involvement in open-source projects may counteract some of the security concerns posed by AI.

## Why it matters

This debate underscores the critical intersection of AI and software security, highlighting how emerging technologies can influence software licensing and development practices. The outcome of this discussion could shape future policies and practices around open-source software.

- **Product managers:** Product managers should be aware of how shifts in software licensing can impact product security and user trust, especially as AI technologies evolve and introduce new vulnerabilities.
- **Developers:** For developers, this situation emphasizes the importance of understanding the security implications of both open-source and proprietary software, as well as the role of community engagement in maintaining secure codebases.
- **Students and job seekers:** Students and job-seekers should recognize the evolving landscape of software development, particularly how AI influences security practices, which could affect their career opportunities in both open-source and proprietary environments.

## Sources

- [Hot take: AI's not going to kill open source code security](https://go.theregister.com/feed/www.theregister.com/2026/04/26/opinion_column) (The Register AI, 2026-04-26)

## 中文

### 热议：人工智能不会杀死开源代码安全

Cal.com是一家以开源调度软件闻名的公司，最近从开源AGPL许可证转向专有模型。这一决定主要是出于对AI技术相关安全问题的担忧。这一举动在开发者社区引发了激烈的讨论，许多开发者认为开源代码本质上比专有软件提供更好的安全性，因为它允许更大的透明度和社区审查。这一讨论突显了AI的潜在风险与开源开发基本原则之间的持续紧张关系。

**要点：**

- Cal.com转向专有模型引发了关于AI时代开源软件安全性的问题。
- 开发者社区对开源和专有模型提供更好安全性的看法仍然存在分歧。
- 开源项目的透明度和社区参与可能抵消AI带来的一些安全担忧。

**为什么重要：** 这一辩论强调了AI与软件安全的关键交集，突显了新兴技术如何影响软件许可和开发实践。这一讨论的结果可能会影响未来关于开源软件的政策和实践。

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