Using AI tooling for code review

The discussion revolves around the challenges and outcomes of addressing vulnerabilities in open-source projects, specifically within the context of Bitcoin Core. An interesting tool highlighted for tackling these issues is the Vulnerability Spoiler Alert found on GitHub (Vulnerability Spoiler Alert). This tool demonstrates significant potential in identifying vulnerabilities within various repositories, a task that is notably difficult, particularly in complex projects like Bitcoin Core. Evidence of these challenges can be seen through discussions and examples shared on platforms such as xcancel, with specific references to the difficulty in fixing vulnerabilities (Fanquake's Status, Christine Dkim's Status).

The efficacy of the Vulnerability Spoiler Alert tool is underscored by its successful identification of vulnerabilities across different repositories, suggesting a promising approach to enhance the security and integrity of open-source projects. This is further supported by visual evidence and issue tracking that showcases the tool's capabilities in real-time scenarios.

Moreover, the use of such tools raises pertinent questions regarding their impact on Bitcoin Core and similar open-source Bitcoin projects. There is a curiosity about whether this method could lead to earlier detection and resolution of vulnerabilities before they are exploited, especially considering past incidents where vulnerabilities were identified in commits before official releases. The possibility of using AI tooling not just for spotting fixes but also for bug detection in commits suggests a broader application scope, potentially revolutionizing how code reviews and vulnerability assessments are conducted in open-source environments. For further reading and historical context, an archived discussion on utilizing AI tooling for code review in the Bitcoin community provides additional insights (Using AI Tooling for Code Review).