CoTester

CoTester is TestGrid's AI testing agent built for enterprise teams that can't afford flaky test scripts or constant maintenance overhead. It reads your JIRA stories, writes test logic, and runs those tests across real browsers and devices. “Self-healing” tests adapt when your UI changes, so you’re not rewriting assertions every sprint.

The tool works in three modes — no-code for product managers and business analysts who want to approve auto-generated test cases, low-code for manual testers who prefer visual steps or record-and-play setups, and pro-code for automation engineers who need to write custom scripts in an embedded IDE. That flexibility matters because most enterprise teams have people at different skill levels touching the same test suite.

What’s interesting is AgentRx, the auto-heal engine. It uses a Vision Language Model to interpret your app’s UI like a human tester would. When structural changes happen during execution, it adjusts test logic on the fly instead of failing the entire run. That’s a departure from traditional tools that rely on brittle locators and collapse when someone renames a button. Whether this holds up under major redesigns or just minor tweaks is the real test, but the concept addresses a genuine pain point.

CoTester pauses at critical checkpoints to validate its direction with your team. It won’t execute anything without approval, which is a safeguard enterprises actually care about. You can manually edit test steps anytime, insert custom hooks, and parameterize test data from internal databases with encrypted secrets. That level of control matters when you’re testing banking apps or healthcare platforms where compliance isn’t optional.

The tool schedules test runs for nightly builds, weekly regressions, or pre-release checks. It flags bugs automatically during execution and logs them in real time. The more you use it, the more it learns from feedback and reduces flakiness. It integrates with Jenkins, GitHub Actions, Azure DevOps, and other CI/CD pipelines — though the website doesn’t clarify how smooth that integration actually is at scale.

Who this is for: QA engineers tired of babysitting tests, automation engineers drowning in maintenance work, and agile teams where product managers and business analysts need visibility into test coverage without learning Selenium. It’s being used in banking, eCommerce, telecom, healthcare, and travel, industries where precision and compliance are non-negotiable.

The model supports private cloud and on-prem deployments. You own the code and automation logic, which is a selling point for enterprises wary of vendor lock-in. It connects to real devices and browsers via TestGrid’s cloud lab, but you can also integrate with Selenium Grid, BrowserStack, or Sauce Labs if you already have infrastructure in place.

Key Features

• AI agent that learns product context and generates test code from JIRA stories
• AgentRx auto-heal engine adapts to UI changes during execution using Vision Language Model
• Three modes: no-code for product managers, low-code for manual testers, pro-code for engineers
• Scheduled test runs for nightly builds, regressions, and pre-release validation
• Bug identification and logging during test execution
• Human-in-the-loop validation at critical checkpoints before execution
• Private cloud and on-prem deployment with full code ownership
• Integrates with CI/CD pipelines (Jenkins, GitHub Actions, Azure DevOps)
• Parameterized test data with encrypted secrets from internal databases
• Real device and browser testing via TestGrid cloud lab or third-party grids
• Adaptive learning that reduces flakiness based on feedback over time