Hud Tech Stack

Runtime instrumentation for production-safe AI-generated code

Software Development New York City, NY 11–50 employees Privately Held

Hud deploys a zero-config production sensor that captures live service and function-level telemetry from deployed code, with a focus on AI-generated software. The tech stack (AWS, GCP, Azure, PostgreSQL, ClickHouse, Redshift, BigQuery across compute and storage) reflects infrastructure-monitoring DNA; the active projects reveal an emerging focus on evaluation datasets and auto-remediation prompts, signaling a pivot toward AI-driven incident investigation. Early hiring is balanced between engineering and sales, suggesting founder-led initial sales cycles are giving way to structured GTM.

Tech Stack 19 technologies

Core StackAWS PostgreSQL ClickHouse Redshift BigQuery Node.js Python Java Go TypeScript Docker Kubernetes JavaScript GCP Azure V8 SQL

What Hud Is Building

◆Challenges

Scalability performance reliability challenges
Low-overhead instrumentation
Debugging production issues
Performance impact of instrumentation
Complex sales cycles
Improving ai incident investigation
Reducing ai error rates
Optimizing token usage

▲Active Projects

Core backend and data infrastructure
Data pipelines
Runtime code sensor
Tracing mechanisms for distributed systems
Low-overhead instrumentation
Improving core prompt and skills for hud mcp
Building evaluation datasets for ai workflows
Optimizing auto-remediation prompts

Hiring Activity

Accelerating5 roles · 5 in 30d

Department

Engineering

Sales

Seniority

Mid

Senior

Junior

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About Hud

Hud builds a runtime code sensor designed to detect and fix issues in AI-generated and AI-assisted code before they reach production. The product installs with zero configuration and automatically ingests live data from running services, capturing the context needed to debug failures in agentic workflows. The company operates from New York and is actively hiring engineers and sales roles across the US and Israel, with a focus on solving the intersection of AI reliability and production observability at scale.

HeadquartersNew York City, NY

Company Size11–50 employees

Hiring MarketsIsrael

Frequently Asked Questions

What tech stack does Hud use?

Hud runs on AWS, GCP, and Azure for compute and cloud services. Backend uses Node.js, Python, Go, and Java; data pipelines leverage PostgreSQL, ClickHouse, BigQuery, and Redshift for storage and analytics; orchestration runs on Docker and Kubernetes.

What is Hud working on?

Core projects include the runtime code sensor, distributed-systems tracing, low-overhead instrumentation, data pipelines, evaluation datasets for AI workflows, and auto-remediation prompt optimization for incident investigation.