Signal Sciences + Datadog: improving web application security

This article explores using Large Language Models (LLMs) to improve the accuracy of static code analysis tools by reducing false positives. By analyzing the code context and developer intent, LLMs can differentiate between genuine bugs and harmless code patterns often flagged as errors, leading to more focused and effective code reviews. This approach promises to significantly reduce "noise" and increase developer trust in static analysis results.