ClickHouse and Hud Link Observability With Runtime Intelligence for AI-Generated Code

Software development teams are leveraging AI to rapidly generate and modify code, yet this speed presents a new challenge: ensuring the generated or assisted code is safe to deploy. According to Hud, AI now contributes to 42% of developers' codebase, with this share projected to increase to 65% by 2027. To address the gap in understanding the behavior of code changes in real production environments, ClickHouse and Hud are integrating their platforms.

ClickHouse provides broad observability capabilities, while Hud offers code-level runtime intelligence. The integration uses shared trace IDs from coding agents to connect ClickStack, ClickHouse's open-source observability stack, with Hud’s Runtime Code Sensor. This connection enables engineering teams to move from an issue identified in ClickStack to the corresponding code-level information in Hud.

ClickHouse's strengths lie in its ability to identify the service, deployment, or endpoint associated with an issue, while Hud provides deeper insights into the code changes behind that behavior. The integration supports various workflows, including pre-deployment risk assessment, release verification, automatic reversion, automated investigation, and agentic workflows for creating pull requests with code-level fixes.

By combining production behavior with code-level intelligence, teams can evaluate AI-generated code in the context of real production performance, facilitating more confident decision-making in AI-assisted development.