Decipher
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About
Decipher is an agentic QA platform designed to automate the creation, maintenance, and monitoring of end-to-end (E2E) tests. By leveraging AI agents that learn the specific nuances of a web product, the tool allows engineering teams to generate reliable test coverage from simple screen recordings or text-based prompts. This approach aims to eliminate the traditional trade-off between development speed and software quality, enabling teams to ship features rapidly without the overhead of manual QA cycles or the fragility often associated with traditional testing frameworks. The tool functions by utilizing self-healing agents that automatically update test steps and selectors when a user interface changes. This significantly reduces the time spent fixing flaky tests that would otherwise break during routine updates. Beyond the testing environment, the platform monitors live production environments to detect when users encounter real bugs. When a failure is detected, it provides comprehensive debugging context—including session replays, network logs, and customer impact data—to help engineers diagnose the issue immediately. It even integrates with AI coding tools like Cursor or Claude Code to provide the structured data necessary for drafting automated code fixes. Decipher is best suited for fast-moving engineering teams, particularly those in startups and enterprises that utilize modern CI/CD pipelines. It is highly beneficial for organizations that prioritize continuous deployment and need a way to protect critical revenue paths without slowing down their release cycle. The platform’s ability to turn a production bug into a regression test with a single click makes it a valuable asset for teams looking to close the loop between incident response and preventive testing. What differentiates the platform from standard testing tools is its dual focus on proactive test generation and reactive production monitoring. While most tools focus solely on the pre-production phase, this tool provides a bridge between the two, using real-world user data to inform and update the testing suite. Its deep integrations with popular project management tools like Linear and Asana, combined with industry-standard security features like client-side PII masking and AES-256 encryption, make it a robust choice for security-conscious development teams.
Pros & Cons
Automatically updates test steps and selectors when UI changes occur.
Converts live production bugs into one-click regression tests.
Integrates directly with AI coding agents to help fix discovered issues.
Includes full session context like network calls and logs for debugging.
Reduces manual QA time significantly, potentially saving teams dozens of hours weekly.
Base pricing starts at a relatively high entry point of $250 per month.
Data retention is limited to 30 days on the standard Pro plan.
Additional test runs and monitored sessions incur extra per-unit costs.
Use Cases
Engineering managers can reduce the time spent on manual QA by automating E2E test generation and maintenance.
DevOps teams can integrate tests into CI/CD pipelines to catch regressions before they reach production.
Product engineers can use live monitoring to identify critical revenue-path failures and generate instant reproduction steps.
Platform
Task
Features
• client-side pii masking
• ai-assisted pull request drafting
• smart caching for faster test runs
• linear and asana integrations
• session replays and network logs
• production bug monitoring
• self-healing ui selectors
• agent-powered e2e test generation
FAQs
How does Decipher handle changes to my website's UI?
Decipher uses AI agents that automatically learn your product and update test steps and selectors when elements move or change. This self-healing capability prevents the 'flaky test' problem where minor UI updates break traditional test suites.
Can Decipher help fix the bugs it finds?
Yes, it provides structured context to AI coding tools like Claude Code and Cursor. This allows developers to use their preferred coding agent to quickly draft a pull request based on the logs and session data provided by Decipher.
What kind of data security and privacy features are included?
The platform includes client-side PII masking to ensure sensitive data is removed before reaching the servers. All data is also secured using industry-standard AES-256 encryption both at rest and in-transit.
What happens if I exceed the test run limits on the Pro plan?
On the Pro plan, additional test runs beyond the included 1,250 are billed at $0.20 per run. Similarly, monitored user sessions exceeding the 5,000 limit cost $0.05 per additional session.
Pricing Plans
Pro
USD250.00 / per month• Unlimited test generations
• 1,250 test runs included
• 5,000 monitored user sessions
• Linear and coding agent integration
• Agent learning and self healing
• 30-day data retention
Job Opportunities
There are currently no job postings for this AI tool.
Ratings & Reviews
No ratings available yet. Be the first to rate this tool!
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