Hud

Hud streams real-time, function-level runtime data into your IDE - powering production-aware development for engineers and code-generating agents.

What Hud Does

Hud is the first Runtime Code Sensor designed to make AI-generated code production-safe by default. Installed in under a minute, it captures structured, real-time, function-level runtime data from your live systems and streams it directly into your IDE.

Once deployed, Hud overlays each function in your codebase with live production context. You can map execution patterns, capture behavioral changes, and pinpoint performance regressions - all without dashboards, manual instrumentation, or context switching.

Hud's extension allows you to:

• See execution behavior in context as you write or review code
• Investigate post-deploy changes and performance regressions
• Receive Heads-Up alerts tied to the exact function responsible

Through Hud’s MCP server, supported code-generating agents like Cursor, Copilot, and Windsurf gain visibility into how your code actually behaves in production-enabling them to generate safer, system-aligned code.

Hud is read-only, requires no config, and adapts automatically as your application evolves.

See Hud Docs at docs.hud.io

Platform Compatibility

• Languages Supported: Node.js, Python (Java and Kotlin coming soon)
• Environments: Containers, VMs, Kubernetes, serverless
• IDEs: Visual Studio Code, Cursor, JetBrains IDEs (IntelliJ IDEA, PyCharm, GoLand, WebStorm)

Who It’s For

Hud is built for engineering teams integrating code-generating agents or shipping mission-critical services into production. It’s especially valuable for:

• Backend developers validating live service behavior
• Teams scaling agentic workflows or AI-assisted development
• Platform and infrastructure engineers
• DevOps/SRE teams

Use Cases

Identify Failing Behavior in Production

Coding agents use Hud’s MCP server to detect and investigate production failures, surfacing relevant functions, error sources, and execution patterns-without relying on manual logging or tracing.
→ Issues are surfaced with root cause attached
→ Responses include contextual details: behavior trends, exception types, and code flow impact
→ Coding agents successfully solve elaborate issues automatically using the context Hud provided

Fix Code Based on Runtime Evidence

When proposing a fix, the agent queries Hud to retrieve production behavior for affected functions: error propagation, caller relationships, and performance data. This context enables safer and more accurate modifications-grounded in real system behavior.

Validate Code Changes Before They Ship

Before applying changes, the agent queries Hud to assess implications against current runtime context-including execution flow, load impact, and behavioral sensitivity. This ensures that edits won’t introduce regressions.

Drive End-to-End, Production-Aware Workflows

Hud allows agents to operate with continuous access to production context-through structured, queryable signals captured by the Runtime Code Sensor. Every step-issue detection, resolution, validation - is backed by live data, transforming speculative AI output into production-safe code.

Core Benefits & Value Proposition

• Runtime Code Sensor: Streams real-time, function-level behavior into your IDE
• Zero Overhead Setup: Install in under a minute - no config, no manual instrumentation
• Hudders: See runtime performance and error signals above every function
• Live Call Graphs: Visualize execution paths and find root causes fast
• Heads-Up Alerts: Get notified about production-impacting changes without manual configuration
• Hud’s MCP Server: Enables production-aware code generation by agents
• No source code access: Only anonymized metadata is transmitted

Quickstart

1. Install the Hud IDE extension
2. Add the SDK to your backend service:
   • npm install hud-sdk or pip install hud-sdk
3. Initialize the SDK in your app's entry point
4. Authenticate via Google SSO or your SAML provider

Once setup is complete:

• You’ll see Hudders above each function showing live execution signals
• Click a Hudder to open a call graph and trace execution paths
• Resolve issues using real-time production context-no logs, no guesswork

Security & Compliance

• Read-only by design-Hud never accesses source code or payload data
• Only anonymized metadata is streamed
• Fully compliant with SOC 2 Type II, ISO 27001, and GDPR
• Supports SAML and SCIM for enterprise-grade access control