ClickHouse and Hud bring Runtime Intelligence to AI-Powered Software Development

Together, the products help engineering teams assess AI-generated changes, verify releases, and resolve production issues faster.

New York, 13th of August – Hud today announced that it has developed a ClickHouse integration designed to support investigation and review workflows across the AI software development lifecycle.

AI now generates or assists with 42% of the code developers ship, and that share is expected to reach 65% by 2027. As coding agents generate changes faster, the challenge is shifting from producing code to understanding which changes are safe to ship and how they will behave in production.

ClickStack, ClickHouse’s open-source observability stack, helps teams understand when and where something broke. Hud’s Runtime Code Sensor helps them understand why, how to fix it, and whether a risky change should be allowed into production in the first place.

Used together, ClickHouse and Hud give engineering teams the production context needed to confidently build and ship software with AI.

“AI is accelerating how quickly teams can generate code, but safely shipping it with high confidence requires production context. Hud and ClickHouse bring real production behavior at an unparalleled breadth and depth, so teams can build a production-aware AI SDLC: gating changes before they ship, proactively verifying them once deployed, and fixing issues as they arise – all using real runtime truth. Together with ClickHouse, we are bringing that intelligence across the entire AI SDLC.”

May Walter, CTO, Hud

Two Layers, Stronger Together

ClickStack provides broad visibility across applications and infrastructure, helping teams identify the service, deployment, or endpoint behind an issue.

Hud operates at the code layer, connecting production behavior to the functions and code changes responsible for it.

The two platforms can be connected by a coding agent using shared trace IDs, allowing engineers to move directly from an issue in ClickStack to the relevant code-level context in Hud. 

“Our users already trust ClickHouse to store and query their Open Telemetry data at scale. The shift now underway is from simply watching systems or investigating issues to using that data to make day-to-day engineering decisions. Hud connects observability data to the code and changes behind it, making the entire stack more useful for teams building and shipping software with AI.”

Mike Shi, Head of Observability, ClickHouse

From Detection to Resolution

Many production issues begin as small changes: a query slows down, a code path consumes more resources, or a function behaves unexpectedly under a specific workload.

Hud detects these issues at the function level and provides the deep forensic context needed to understand their cause. ClickStack adds the wider operational picture across the application.

Together, the platforms help teams move from detecting an issue to understanding and resolving it faster.

The Hud+ClickStack integration also supports AI-powered engineering workflows, including:

• Pre-deployment risk assessment for code changes
• Release verification,  auto-reverting upon regression, and creating a PR to fix the underlying issue 
• Automated detection and investigation and code-level fixes, with agentic workflows to automatically create fix PRs
• Rollback and remediation workflows

Runtime intelligence acts as a gate for AI-generated changes. Changes can be evaluated against real-time data on how the affected code behaves in production, allowing higher-risk changes to be held for additional review with deep additional context, while safer changes move faster or auto-merged.

“Like every modern engineering organization, a growing share of our code is now written with AI. We write code much faster, but the challenge has shifted to shipping just as quickly while maintaining confidence that new code won’t cause harm. ClickHouse gives us the wide operational picture at scale, while Hud gives us the runtime intelligence and next-level introspection needed to evaluate and ship AI-generated code confidently. When issues do arise, combining ClickHouse and Hud allows us to triage and resolve them quickly. For a company building with AI, that combination is the obvious choice.”

Rom Kadria, Senior Software Engineer, monday.com

Building a Production-Aware AI SDLC

With ClickHouse and Hud, coding agents can work with more than static code or isolated alerts. They can use real, runtime operational data, function-level context, and the history of how an application behaves.

This gives teams the context needed to assess changes before deployment, verify them during rollout, and investigate and fix issues quickly when they arise.

Getting Started

Engineering teams can get started by installing the Hud SDK and connecting it to their ClickStack service. Hud’s runtime intelligence then flows alongside the OpenTelemetry data teams already collect.

To learn more, visit Hud.io/docs or clickhouse.com/docs