Latitude

Overview

Latitude is an observability and quality platform designed for AI agents. It captures multi-turn sessions, tool calls, and execution paths through a single line of telemetry. The platform automatically groups failing traces into actionable issues with states and evaluations attached. By dispatching coding agents with deep context, it helps engineering teams diagnose errors and deploy fixes before production.

What it does

• Captures multi-turn sessions, tool calls, and execution paths with one line of telemetry.
• Automatically groups failing traces into distinct tracked signals and issues with status indicators.
• Dispatches coding agents like Claude Code or Cursor with full context to generate pull requests.
• Replays fixes against real failing traces to verify regression prevention and monitor metrics.

Who it's for

• AI Engineers
• Software Developers
• Engineering Managers
• DevOps Teams

Why it works

• Translates raw trace logs into structured, trackable issues with attached evaluations for faster debugging.
• Integrates directly with developer workflows via MCP servers, CLI tools, and automated coding agent dispatch.
• Offers a freemium model with a generous free tier and clear onboarding paths for development teams.
• Leverages open-source flexibility to build trust and encourage community contributions.

Founder story

Latitude was built to solve the growing complexity of monitoring autonomous AI agents in production. Founded by developer-focused engineers, the platform evolved from an open-source prompt engineering tool into a comprehensive observability and quality suite for modern AI applications.

Alternatives

• Langfuse
• Helicone
• Raindrop
• Arize Phoenix

Comparison overview

• Latitude structures raw LLM trace logs into actionable issues with attached states and automated coding agent dispatch.
• Traditional observability tools focus primarily on passive log visualization and metric dashboards rather than automated issue fixing.