TesterArmy

AI browser testing agent that catches regressions on every pull request.

TesterArmy is an AI testing agent that runs automated browser tests against web applications on every GitHub pull request, posting recordings, pass/fail results, and failure context directly back to the PR as comments. It addresses one of the most persistent gaps in software quality workflows: most teams have insufficient test coverage for end-to-end browser behavior, and manually running UI tests for every PR is impractical at speed. TesterArmy automates this by deploying an AI agent that tests the application in a real browser, captures what it observes, and reports back in the PR workflow where developers are already working. The platform targets SMB and mid-market engineering teams building web applications and differentiates through its PR-native workflow integration and its use of a real browser rather than headless simulation, which produces more representative test results.

Compliance

SOC 2

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Key Features

PR-triggered automated testing: Automatically runs browser tests against the application on every GitHub pull request without requiring manual test invocation or CI configuration for each test scenario.
Real browser execution: Tests run in a real browser environment rather than a headless simulation, producing results that more accurately reflect actual user experience and catching issues that headless testing misses.
Test recordings: Captures video recordings of test execution so developers can see exactly what the agent did and observed during the test, making it straightforward to understand and reproduce failures.
PR comment reporting: Posts results — pass/fail status, failure context, and recordings — directly as GitHub PR comments, keeping feedback in the developer’s existing workflow rather than requiring a separate dashboard.
Regression detection: Identifies regressions introduced by a PR’s changes by comparing application behavior against baseline expectations, flagging breakage before the code reaches main.
Multi-model architecture: Uses multiple underlying LLM providers to power the agent’s understanding of the application under test and its interpretation of test results.

Use Cases

For engineering teams lacking automated UI test coverage: A web development team whose test suite covers unit and integration tests but has limited browser-level coverage uses TesterArmy to automatically catch UI regressions on every PR without writing and maintaining a manual browser test suite.
For fast-moving teams that need regression detection without slowing down: A startup shipping multiple PRs per day uses TesterArmy to automatically validate each PR against the production browser experience, catching regressions before merge without adding manual QA time to the release cycle.

Pricing MODELS

Enterprise, Usage-based

Pricing Summary

TesterArmy uses a usage-based pricing model with custom enterprise pricing for larger teams. Specific pricing tiers are not publicly listed — teams contact the company or review current documentation for details.