Secure Code Game: Empowering Safer LLM-Based Applications
GitHub hosts Bartosz Gałek and jkcso discussing Secure Code Game Season 3, focusing on helping developers build safer LLM-based applications and sharing open source engineering insights.
Secure Code Game: Empowering Safer LLM-Based Applications
Presented by GitHub | Featuring Bartosz Gałek & jkcso
This special episode of Open Source Friday invites contributors Bartosz Gałek and jkcso to explore Season 3 of the Secure Code Game. The episode provides:
Overview of Secure Code Game: An open source initiative teaching secure coding practices to developers and students through challenges focused on current technology trends, especially AI and Large Language Models (LLMs).
Safer LLM-Based Applications: Guidance on identifying and mitigating common security risks in LLM-augmented apps, such as prompt injection, data leakage, and model exploitation.
Engineering Decisions: Discussion around the architectural, design, and code quality decisions made during the development of Secure Code Game, with reflections on trade-offs, lessons learned, and community contributions.
Open Source Journey: Insights into collaborating within an open source ecosystem, fostering developer education, and evolving security training resources to match the changing AI landscape.
Key Topics Covered
- Threat modeling and secure design for LLM-powered apps
- Secure coding patterns for AI integrations
- Risk mitigation techniques and real-world attack vectors
- Community-driven approaches to developer education
- Tips and best practices for contributing to open source security tools
Learn More
- Visit Secure Code Game GitHub repository
- Follow Bartosz Gałek & jkcso for updates and educational content
Stay tuned for practical demos and behind-the-scenes engineering stories that can help you level up your secure coding skills in AI-rich environments.