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cloud.google.com·7h ago
Data Science
Simon Willison's Blog·23d ago·5 min read
California Sea Lion, Brandt's Cormorant
TL;DR
Engineers utilized large language models (LLMs) to enhance their codebase over 90 days, emphasizing that quality is more important than quantity in identifying security vulnerabilities.
✦ Why It Matters
Prioritize quality over quantity when assessing code vulnerabilities to enhance security effectively.
Key Takeaways
- Use LLMs to identify security vulnerabilities in your codebase.
- Focus on quality findings rather than sheer quantity of issues.
- Engage in regular code reviews to maintain high standards.
- Implement strategic practices based on insights from LLM usage.
Full Summary
Over a 90-day period, 13 engineers engaged in a project to 'pressure wash' their codebase using large language models (LLMs), which are AI systems designed to understand and generate human-like text. The initiative aimed to improve code quality and security by focusing on identifying vulnerabilities.
The engineers discovered that prioritizing the quality of findings led to more effective security enhancements than merely increasing the number of issues reported. This approach resulted in a more robust codebase, demonstrating the potential of LLMs in software development.
The insights gained from this experience can inform future practices in code maintenance and security assessments, highlighting the importance of strategic focus in software engineering.