At Sonar, we strive to provide accurate bug detection for our users. Our latest advances in reliability-impacting issue detection use a cross-procedural engine that analyzes code context to find complex bugs. This new engine, named Dataflow Bug Detection (DBD) Engine, has shown significant improvements in true positive and low false positive rates compared to our previous non-cross-procedural engine. The DBD Engine is already being used in combination with the historical engine for detecting issues in Java and Python code. We plan to transition the rules slowly to reduce the impact of these changes and make the new engine widely available across all SonarQube editions. This move aims to increase developer productivity by providing more accurate and relevant bug detection, ultimately reducing the time spent on debugging and improving software stability.