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CoTester

Paid

AI testing agent that auto-generates self-healing test cases from JIRA stories, adapts to UI changes mid-execution, and runs across real browsers with human checkpoints for enterprise control.

4.5
Workflow AutomationContact
Type
Saas
Company
TestGrid
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About CoTester

CoTester is an enterprise-grade AI software testing agent by TestGrid that auto-generates self-healing test cases from JIRA stories, adapts to UI changes mid-execution using a multi-modal Vision Language Model (VLM), and runs across real browsers with human checkpoints for control. It includes a context-aware agent that learns product context and QA workflows, writes all test code, and offers instant test creation, AgentRx self-healing, seamless execution, bug identification and logging, scheduled test execution, and adaptive learning. The platform provides downloadable open-source test code to avoid vendor lock-in and supports real devices and browsers. Pricing starts at $199 per seat/month for the Starter plan with 4 seats and 5,000 tokens, with custom Growth and Enterprise Device Lab plans available.

Key Features

Context-Aware Agent that learns product context and QA workflows
Instant Test Creation from JIRA stories into full test logic
Self-Healing Capabilities with AgentRx that detects UI changes and updates test logic during execution
Seamless Execution across real browsers with live feedback and AI-assisted debugging
AI Testing with Guardrails that pauses at critical checkpoints for human validation
Vision-Language Intelligence using a multi-modal VLM to interpret app screens like a human tester
Bug Identification and Logging automatically during test runs
Scheduled Test Execution for nightly builds and weekly regressions
Adaptive Learning that improves with each task and execution
Downloadable open-source test code to avoid vendor lock-in

Pros & Cons

Pros
  • Self-healing tests adapt to UI changes automatically
  • Vision-Language Model interprets app visuals like a human tester
  • Human guardrails provide enterprise control and alignment
  • Generates open-source test code to prevent vendor lock-in
  • Supports real devices and browsers for accurate test execution
  • Context-aware agent learns product context over time
  • Automated bug logging reduces manual effort
  • Scalable from small teams to enterprise with on-premise deployment
Cons
  • Starting price of $199 per seat per month may be high for very small teams
  • Token-based pricing for AI test creation could be limiting for large-scale initial onboarding
  • On-premise deployment requires outbound connectivity to TestGrid's AI infrastructure for full AI capabilities
  • May require initial setup and learning curve for complex scenarios

Best For

Automated regression testing for web applicationsCI/CD integration for continuous testing pipelinesCross-browser and cross-device testing across real browsers and devicesEnd-to-end test case generation from user stories and JIRA ticketsSelf-healing test maintenance for dynamic UIsBug detection and logging during test executionScheduled test runs for nightly builds and release validation

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FAQ

What is a token, and how do tokens get used?
Tokens are TestGrid's unit of measure for AI test creation. Each AI-generated test case or test update consumes tokens from your monthly allocation, with most usage concentrated during initial onboarding. A typical test case uses 10-20 tokens. Self-healing, bug summarization, root cause analysis, and other AI agent activity do not consume tokens. Growth and Enterprise Device Lab packages include unlimited tokens.
Can TestGrid be deployed on-premise?
Yes. TestGrid offers a fully on-premise deployment through the Enterprise Device Lab package. The platform UI, test execution layer, and device infrastructure all run within your environment. AI capabilities require outbound connectivity to TestGrid's hosted AI infrastructure. A scriptless on-premise option is available for environments where outbound AI traffic is restricted.