TestRelic AI
Go to App

TestRelic Documentation

An AI-native test analytics platform — a terminal Ask AI agent (the CLI) and its desktop companion (Studio) set up SDK reporters and a cloud platform for AI insights, monitoring, and integrations.

The CLI puts an Ask AI agent in your terminal — one command inspects your project, wires up the right SDK reporter, runs your suite once, and opens Studio, its desktop companion. Every run flows to a cloud platform for AI analysis, monitoring, and integrations — queryable from the CLI, Studio, or an MCP-connected IDE.

$curl -fsSL https://testrelic.ai/install.sh | sh

Generates the data

Reads memory back

Get started in two steps

1

Install the CLI and run testrelic init

It inspects your project, wires up the matching SDK reporter, runs your suite once, and opens Studio on the repo — no manual SDK setup.

Install the CLI
2

Connect the cloud platform

Sign in from the CLI or Studio to unlock AI insights, monitoring dashboards, and the full Session Workspace for every run.

Cloud onboarding

What TestRelic captures

Navigation timelines

Every page visited, in order, with timing and network stats.

API tracking

Method, URL, status, headers, bodies, and timing for HTTP calls.

Device data

Mobile device logs, screenshots, and video from Appium and Maestro runs.

Failure diagnostics

Error messages, source snippets, and CI metadata for every failure.

LLM evaluations

DeepEval results captured alongside your functional tests.

Explore by section

Using an AI coding assistant?

Wire the TestRelic MCP server into Cursor, Claude Code, or any MCP host so your assistant can read runs, coverage gaps, and failure context directly from your cloud data.

Was this page helpful?

On this page