Hud: Runtime Code Sensor for Production-Safe AI Code

Modern applications increasingly rely on AI, yet lack sufficient runtime observability. Current monitoring tools often fail to provide the detailed context needed for AI to understand production code behavior. Hud is introduced as a runtime code sensor designed to address this problem. It acts as an architectural layer, transforming executable code into an observable system. Hud captures crucial runtime context, including execution paths, variable states, and side effects, which are typically lost. This detailed context enables AI to identify the root causes of errors and optimize performance. Unlike traditional monitoring that relies on logs and metrics, Hud focuses on the code’s actual behavior during execution. By creating a real-time context, Hud allows AI to understand and correct errors before execution on your application. This approach helps pinpoint the exact location and cause of issues, enabling faster problem resolution. Hud offers a way to find regressions and failures without exclusively relying on logs and dashboards. This sensor transforms every piece of running code into a source of system information. Hud allows users to fix issues, improve performance and avoid guessing. Installation of Hud is quick and straightforward.