Sold by: Hud Software Platforms
Hud is the world's first Runtime Intelligence platform. Its Runtime Code Sensor watches how your code behaves in production, function by function, and turns that into root cause and fixes. Installed in 10 seconds with one line and no configuration, Hud gives software engineers and AI coding agents the live production context they are missing: what broke, why it broke, and the code responsible. Teams use it to gate AI-generated pull requests, roll out changes safely, and resolve errors and performance degradations without sifting through logs, traces and dashboards.
Overview
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.
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
- 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
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Dimension | Description | Cost/month |
|---|---|---|
Hud Runtime Code Sensor Custom Private Offer | Runtime code sensor that shows what every change actually does in production, so your team ships safely and fixes fast. Request a private offer to receive a custom quote | $30,000.00 |
Dimensions summary
This listing has one pricing option: a Custom Private Offer billed by units under a contract. There are no fixed tiers or published rates to compare. Instead, you request a private offer and receive a quote tailored to your needs. Pricing scales with the number of units you commit to. The product is a runtime code sensor that monitors how code changes behave in production. To get specific terms and quantity, contact the vendor to arrange the private offer.
Top-of-mind questions for buyers
The unit count is defined within your custom private offer rather than fixed on the listing. Because the sensor runs alongside your application in production, pricing typically reflects the scope of services or workloads monitored. The vendor sets exact unit terms in your quote, so confirm the unit definition when arranging your offer.
The sensor lives in runtime with your application, capturing function-level context from every invocation without sampling. The vendor states it runs across millions of services with negligible overhead. This operating model does not change your billing, which stays based on the units committed in your private offer, not on captured data volume.
The one offer covers the full sensor capability: gating code changes before merge, verifying releases against a baseline per pod with automatic rollback, and capturing forensic data when issues occur. These capabilities come together under the single Custom Private Offer, so you are not buying them as separate priced add-ons.
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Our dedicated experts are available for any inquiry, at our email support@hud.io or through the in-app chat.
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