Runtime Intelligence
for Coding Agents
Hud is a new runtime layer that runs with your code in production.
It detects errors, performance degradations, and CPU spikes, capturing deep forensic context needed to agentically generate safe, code-level fixes.
Why Hud?
Observability was built for humans. Runtime intelligence was built for coding agents.
Hud’s Solution
Hud runs with the entire codebase
Runs with the entire codebase in production, no configuration needed
Hud gathers forensic context
When there’s an issue, deep forensic context is gathered with exactly what happened in production
Hud sends context to agents
This context is used to generate fixes
with AI coding agents
Hud Is Not Observability
Observability was built for humans
looking at past data
When an issue arises: engineers try to reconstruct what actually happened in production
Observability is based on simple probes that bring huge amounts of simple data signals
Data is sampled to avoid high load – missing critical events
Thresholds and SLOs need to be manually set
Instrumentation and logs need to be manually added to get into the deep code level
Runtime intelligence is designed for
AI building the future
Install in 10 seconds, works out of the box, no configuration needed, see results immediately
EXAMPLE #1
Automatically detect performance regressions in new deployments, with the specific code paths that caused them
EXAMPLE #2
Automatically detect increases in endpoint errors in canary deploys compared to baseline, with the root cause and specific examples
EXAMPLE #3
Automatically catch extreme performance spikes, no sampling, with the details of the particular call, code flow and parameters that caused them
EXAMPLE #4
Automatically detect performance regressions in new deployments, with the specific code paths that caused them
See Hud in Action
Trusted by engineers.
Human & artificial alike.
Hud runs on millions of services across massive production environments, with negligible overhead.
“Hud eliminated our voodoo incidents. AI-powered root cause analysis turned days of drilling through tools into minutes.”
“Hud completely changed how early we detect, and how quickly we solve issues long before they impact the business.”
“AI helps us move faster only when it’s grounded in reality. Having accurate runtime context means our engineers, and our AI workflows, can reason about real production behavior and act on it safely.”
“We knew the crashes were caused by an ELU spike, but the question was what caused that spike. Using Hud, we found the answer in minutes with an AI-ready fix.”
“When engineering decisions are grounded in real execution data, it changes how confidently we ship, scale, and invest. That level of certainty directly supports the business as the platform continues to grow.”
