Hud
Runtime intelligence layer for AI-safe code generation and issue detection.
Pricing
About Hud
Hud is a runtime intelligence platform designed specifically for coding agents and AI-generated code. It operates as a runtime layer that runs alongside production code, automatically detecting errors, performance degradations, and CPU spikes while capturing detailed forensic context. Unlike traditional observability tools built for human analysis, Hud is purpose-built for AI coding agents like GitHub Copilot, Cursor, and Windsurf, providing real-time function-level runtime data directly into the IDE. The platform works by mapping the entire codebase with no configuration required, gathering deep forensic context when issues occur, and sending this context to AI agents for generating safe, code-level fixes with impact and risk analysis. It installs in seconds with a single line of code and requires no maintenance or manual instrumentation. A key distinction is that Hud captures everything without sampling, ensuring critical events are never missed, whereas traditional observability tools sample data and require manual threshold configuration.
At a glance
- Company
- Hud Technology Inc.
- Platforms
- Web, IDE integration
- Integrations
- GitHub Copilot, Cursor, Windsurf
- Last verified
- June 2026
Who It's For
- •Engineering teams using code-generating AI agents
- •Teams using GitHub Copilot, Cursor, or Windsurf
- •Organizations needing to validate AI-generated code safety
- •Companies requiring production code monitoring for AI agents
How It Works
- 1Installs in 10 seconds with a single line of code
- 2Automatically maps the entire codebase with zero configuration
- 3Monitors production code for errors, performance degradations, and CPU spikes
- 4Captures deep forensic context including code paths, parameters, and execution flow
- 5Sends structured context to AI coding agents for analysis
- 6Generates automated fixes with impact and risk analysis
How to Use Hud
- 1Install Hud with one line of code in your application
- 2Let it automatically map and monitor your codebase
- 3Review real-time alerts with specific root causes in the code
- 4Use the deep forensic context in your AI coding agent for fix generation
- 5Integrate with your IDE (Cursor, Windsurf, GitHub Copilot) for continuous visibility
Key Features
- •10-second installation with single line of code
- •Zero-configuration codebase mapping
- •Function-level runtime data collection
- •Deep forensic context capture for production issues
- •No data sampling - captures all events
- •Automatic code issue detection and categorization
- •Integration with AI coding agents
- •Real-time alerts with root cause identification
- •Auto-generated fixes with impact analysis
Use Cases
- •Automatically detecting performance regressions in new deployments with specific code paths
- •Detecting endpoint error increases in canary deployments with root cause analysis
- •Catching extreme performance spikes with execution details and parameters
- •Detecting newly introduced exception types with affected functions and deployment correlation
Pros & Cons
Advantages
- •Purpose-built for AI coding agents, unlike traditional observability tools designed for human analysis
- •Installs in seconds with no configuration or maintenance required
- •Captures all events without sampling, ensuring no critical issues are missed
- •Provides deep forensic context ready for AI consumption, enabling automatic safe fix generation
Disadvantages
- •Limited to being a new platform compared to established observability solutions with broader feature sets
- •Requires integration with specific AI coding agents (Copilot, Cursor, Windsurf) to deliver full value
Alternatives
See all Hud alternatives →- Bloop AI
- GitHub Copilot
- Amazon Q Developer
- Datadog
- New Relic
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Frequently Asked Questions
What is Hud?
Hud is a runtime intelligence platform designed specifically for coding agents and AI-generated code. It operates as a runtime layer that runs alongside production code, automatically detecting errors, performance degradations, and CPU spikes while capturing detailed forensic context.
How much does Hud cost?
Hud is free to use. A free trial is available.
Is Hud free?
Yes, Hud offers a free plan you can start with.
What are the best Hud alternatives?
Popular Hud alternatives include Bloop AI, GitHub Copilot, Amazon Q Developer.
What is Hud used for?
Hud is commonly used for Automatically detecting performance regressions in new deployments with specific code paths, Detecting endpoint error increases in canary deployments with root cause analysis, Catching extreme performance spikes with execution details and parameters.
What platforms does Hud support?
Hud is available on Web, IDE integration.
Information Accuracy
Please note: While we regularly update all tool information including descriptions, features, pricing, and other details, this information may change over time as tools evolve and update their offerings. For the most current and accurate information, we recommend visiting the official website directly. Our goal is to provide you with comprehensive and up-to-date information to help you make informed decisions.