Ship fearlessly.
Own the code, even when your agents wrote it.
Hud lives in runtime with your app. It gates changes that would break under real traffic, verifies every release at the function level, and when issues arise it detects them early and delivers the data to fix them.
Today’s AI SDLC ends at the PR.
AI agents help engineering teams plan, write, test, and review code, but their assistance stops at the merge. Hud provides the runtime context to ship with confidence.
Without Hud
Looks right. Never sees real traffic.
With Hud
Context from every function & invocation, zero sampling.
Why Hud?
This is the complete
AI SDLC.
Hud’s runtime code sensor lives in production with the application and provides the Runtime Context your agents need in the last lag of the AI SDLC.
Hud’s Solution
Gate before it ships
Gate by production risk,
ship the safe ones fast.
Every PR checked against the live behavior of the exact functions it touches.
Safe rollout as it ships
A release isn’t done when it deploys,
it’s done when it’s verified safe.
Compared against baseline, per pod. Regressions roll back before the blast radius grows.
Fix when it breaks
Some issues don’t surface until
weeks after the deploy.
Forensics captured at the moment of failure — ready
for an agent to open the fix PR.
What Makes It Possible
Agents got a codebase, tribal knowledge, and memory. Hud adds in runtime context.
The Impact Map: a real-time map of the code’s behavior, down to the individual function.
The Forensic Engine captures deep evidence on errors, spikes and degradations: execution path, parameters, dependencies, machine state.
Captured before the pod disappears, so nothing is lost when things go wrong.
The same forensics data is gathered for happy-path flows, so there’s always a baseline to compare against.
Runtime intelligence is designed for AI driven SDLC
An agent’s PR looks clean. The Impact Map knows better, it flags the exact functions and flows this change would break, before anyone hits merge.
A canary deploy starts drifting from its own baseline. Hud catches it mid-rollout and rolls back before the blast radius grows.
Latency spikes 50x for ten seconds, then vanishes. Most tools miss it entirely. The Forensic Engine catches it, no sampling, and hands over exactly what happened.
A new exception shows up in prod for the first time. Hud catches it and opens a fix PR grounded in the full execution context, ready for an agent to ship.
Gate. Safe Rollout. Fix.
Own the code, even when your agents wrote it.
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.”
