What is Decipher?
Decipher AI uses AI agents to automatically generate end‑to‑end tests from natural language or screenshots, reducing manual test creation time. The agent adapts to UI changes by self‑healing selectors and steps, keeping tests robust without manual maintenance.
Production monitoring captures live failures, correlates user sessions with network calls and console errors, and creates actionable tickets in Linear or Asana. Integration with GitHub, Sentry, and popular coding agents such as Claude Code streamlines workflow and enables automated pull‑request drafting.
Tests run on Decipher’s managed infrastructure, eliminating the need to manage browsers and CI runners. The platform encrypts data at rest and in transit, masks client‑side PII, and complies with SOC 2 Type II. Decipher AI supports large enterprises, providing SAML/SSO, custom retention policies, and dedicated support.
Decipher pricing Paid
Verify on the official pricing page.
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Decipher's key features
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AI-Generated E2E Tests
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Self-Healing Test Steps
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Auto Test Updates
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Production Bug Monitoring SDK
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Pre-Filled Linear Issue Creation
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Vision Plus DOM Validation
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Managed Test Infrastructure
Decipher use cases
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Automate regression testing for a web application with Decipher AI, generating self‑healing end‑to‑end tests that adapt to UI changes and automatically logging failures to Linear or Asana for rapid issue triage
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Seamlessly integrate Decipher AI into CI pipelines to run CI‑runner‑free tests on managed infrastructure, encrypting test data and using Enterprise SAML for secure authentication across GitHub, Sentry, and Claude Code
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Deploy Decipher AI in production to monitor real‑time failures, create automated tickets, and maintain SOC 2 Type II compliant test data handling while providing self‑healing selectors for evolving UIs
Who is it for?
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Software developers
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Product designers
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Data analysts
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Customer support teams
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Product managers
