About CoTester
CoTester is a next-generation AI testing agent engineered for enterprise teams that demand both speed and precision. It learns your product context, translates JIRA stories or requirements into executable test logic, and runs them across real browsers and devices — pausing at key checkpoints for human review.
Its AgentRx self-healing engine automatically adapts tests to even major UI shifts during execution, from layout changes to full redesigns. With Git-based collaboration, encrypted data handling, CI/CD integration, and private cloud or on-prem deployment options, CoTester accelerates QA cycles for enterprises.
Price Of CoTester
Pricing available on request.
Features of CoTester
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Flexible Authoring Modes: Seamlessly switch between scriptless, record-and-play, or code-based authoring for precise and nuanced test case creation.
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Natural Training via Documents & URLs: Train CoTester using PDFs, Word docs, CSVs, or live web pages to tailor its understanding.
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Self-healing Capabilities: The AgentRx engine detects major UI changes, automatically updating test logic in real-time to minimize flakiness and maintenance.
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AI Guardrails & Checkpoints: CoTester pauses at critical workflow junctures for team validation, ensuring automated decisions align with your QA standards.
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Full Code Ownership: Retain 100% ownership of your test scripts and automation logic.
How CoTester Works
- Connect requirements — Link JIRA stories, upload specs, or share feature URLs to test.
- Context learning — CoTester's AI agent learns your application's workflows and domain rules.
- Generate test logic — Creates executable, maintainable test scripts within minutes.
- Refine and validate — Review in scriptless, record-and-play, or code mode with AI or manual edits.
- Execute and monitor — Run across real devices/browsers with live logs, screenshots, and debugging insights.
- Auto-heal in real time — AgentRx updates logic during execution to adapt to UI or workflow changes instantly.
Use Cases Of CoTester
- Generating test cases from the knowledge base.
- Handling frequent UI redesigns without rewriting entire test suites.
- Eliminating brittle test failures in complex, high-traffic enterprise apps.
