Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
No matter how carefully code is written, systems fail in surprising ways once they reach production. That gap is widening now that AI agents write more of the code. They plan, write, test and review, then stop at the pull request with no idea what happens after the merge. The usual monitoring tools do not close it. They were built for humans reading dashboards after the fact, they need to be told in advance where to look, and they tell you that something broke without telling you why.
Hud closes the gap with a Runtime Code Sensor that runs alongside your code in production. It installs in about 10 seconds with a single line, needs no configuration and no maintenance, and maps your entire codebase on its own. From there it continuously follows function-level behavior under real conditions, with no sampling and negligible overhead, and gathers deep forensic context for the exact case that happened. Two components do the work: an Impact Map that connects code to live behavior across services and deployments, and a Forensic Engine that captures the evidence behind a specific failure in a form both engineers and LLMs can use.
Show the rest of the publisher’s description (7 more lines)
Engineering teams rely on Hud to:
- Gate AI-generated pull requests by analyzing them against live production data and classifying their risk before merge
- Roll out changes safely, catching function-level regressions early, rolling back automatically, and generating a fix PR so the release can go out again
- Detect and fix the errors, performance degradations and CPU spikes that surface weeks after deploy as production conditions shift
- Pinpoint root cause in the code with real-time forensic data instead of reconstructing the story from logs, traces and dashboards
- Guide coding agents with accurate production context, delivered where the work already happens: IDE extensions, agents over MCP, and CI/CD
Hud already runs across millions of services in production at monday.com, Riverside, Drata, Lemonade, Axonius and Cyera. Teams fix fast, merge with confidence, and bring production reality into the AI development loop.
Highlights
Highlighted by the publisher on AWS Marketplace.
Install in 10 seconds and get function-level runtime context. One line, no configuration, no maintenance. Hud maps your entire codebase on its own, watches how every function behaves in real production conditions with no sampling and negligible overhead, and gathers forensic context that both engineers and AI coding agents can act on.
Gate and safely roll out AI-generated code. Hud analyzes pull requests against live production data to classify their risk before merge, catches function-level regressions during rollout, rolls back automatically, and generates a fix PR so the release can go out again safely.
Find root cause and fix production issues faster. Hud detects errors, performance degradations and CPU spikes as production conditions shift, pinpoints the responsible code with real-time forensic data, and generates a code-level fix, so nobody has to reconstruct the story from logs, traces and dashboards.
Agent build and provenance
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The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.
Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Vendor
External enrichment
Plans and pricing as listed
1 listed- Users
Refund terms
As stated by the publisher on AWS Marketplace.
This is a subscription-based service; your subscription will be renewed automatically unless canceled.
Sources
Publisher resources
1 linkLinked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.