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

New York, USA, August 13th, 2026, FinanceWire

AI is changing how quickly software teams can produce code. According to Hud, AI now generates or assists with 42% of the code developers ship, a figure expected to reach 65% by 2027. As coding agents accelerate development, however, the challenge is increasingly about determining which changes are safe to deploy and understanding how those changes will behave in production.

That is the problem ClickHouse and Hud are targeting with a new integration designed to support investigation and review workflows across the AI software development lifecycle.

ClickStack, ClickHouse’s open-source observability stack, provides visibility into when and where something breaks. Hud’s Runtime Code Sensor operates at the code level, helping teams understand why an issue occurred, how to address it, and whether a potentially risky change should reach production.

“AI is accelerating how quickly teams can generate code, but safely shipping it with high confidence requires production context,” said May Walter, CTO of Hud. “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.”

Connecting Observability With Code

The integration combines two different layers of visibility. ClickStack provides broad operational insight across applications and infrastructure, helping engineering teams identify the service, deployment, or endpoint associated with an issue. Hud connects that operational behavior to the functions and code changes responsible for it.

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

“Our users already trust ClickHouse to store and query their Open Telemetry data at scale,” said Mike Shi, Head of Observability, ClickHouse. “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.”

From Detection to Resolution

Production problems can start with seemingly minor changes: a query becomes slower, a code path consumes additional resources, or a function behaves differently under a particular workload.

Hud is designed to detect these issues at the function level and provide forensic context around their causes, while ClickStack supplies the broader operational picture. Combined, the platforms are intended to help engineering teams move more quickly from detection to investigation and resolution.

The integration supports several AI-powered engineering workflows, including pre-deployment risk assessment, release verification, automatic rollback following regressions, automated investigation, code-level fixes, and remediation workflows that can generate pull requests.

Runtime intelligence can also act as a gate for AI-generated changes. Changes can be evaluated using real-time information about how affected code behaves in production, allowing higher-risk changes to receive additional review and context while lower-risk changes can move through the development process faster or be automatically merged.

A Production-Aware AI Development Lifecycle

For organizations increasingly relying on coding agents, the integration is positioned around a broader shift in software development: giving AI systems access to runtime information rather than relying only on static code or isolated alerts.

“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,” said Rom Kadria, Senior Software Engineer, monday.com.

The companies say the combined approach gives coding agents access to runtime operational data, function-level context, and application behavior history. That context can be used to assess changes before deployment, verify them during rollout, and investigate issues when they emerge.

Getting Started

Engineering teams can begin 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.

The integration reflects a growing emphasis on connecting AI-assisted development with what happens after code reaches production. Rather than treating code generation, observability, and remediation as separate workflows, ClickHouse and Hud are bringing those layers together around runtime data.

For teams adopting coding agents at increasing scale, the goal is straightforward: use production reality not only to understand what went wrong, but also to inform decisions about what gets shipped in the first place.

Contact