Decipher

New! Claude Code IntegrationRead moreRead moreQA Designed ForThe Agentic Era Decipher agents generate your E2E tests, maintains them as you ship, and catches issues before customers do. Plus, get alerted when users hit live bugs.Try for FreeTry for FreeGet a DemoGet a DemoTrusted by world-class engineering teamsProductLet agents ship fast with AI powered testingTests that auto-updateWhen your UI changes, Decipher updates steps automatically. Stop chasing selectors and flaky tests.Instant test generationJust describe a test to Claude Code or show Decipher with our chrome extension to generate reliable E2E coverage in minutes.Catch prod bugsDecipher flags real user bugs with the replay, network calls, logs, and customer impact.The problemSpeed vs. quality shouldn’t be a trade-offYou want comprehensive QA and E2E tests—without slowing down. Traditional tools force an unacceptable choice.How do I reproduce this bug?Does this test represent real users?Is this issue affecting a key account?How do I reproduce this bug?Does this test represent real users?Is this issue affecting a key account?How do I reproduce this bug?Does this test represent real users?Is this issue affecting a key account?How do I reproduce this bug?Does this test represent real users?Is this issue affecting a key account?What caused this sudden spike in errors?Why did our conversion rate drop?Which bug should we fix first?What caused this sudden spike in errors?Why did our conversion rate drop?Which bug should we fix first?What caused this sudden spike in errors?Why did our conversion rate drop?Which bug should we fix first?What caused this sudden spike in errors?Why did our conversion rate drop?Which bug should we fix first?What test case should be added for this new feature?How many people are hitting this error?What test case should be added for this new feature?How many people are hitting this error?What test case should be added for this new feature?How many people are hitting this error?What test case should be added for this new feature?How many people are hitting this error?TestAutogenerated, self-healing testsAgents learn your product, help you make tests in minutes, and make sure they're green without manual upkeep.Agent Powered TestingJust describe a test to Claude Code or show Decipher with our chrome extension to generate reliable E2E coverage in minutes.Tests Adapt to Product ChangesSelectors and steps self-heal when the UI changes. Tests stay robust without manual work.Smart caching. Faster test runs.Tests run on cached elements, and AI only executes steps when behavior changes.MonitorKnow when users hit bugs in productionDetect live failures, quantify who’s affected, and ship fixes fast with your favorite coding agent.Monitor Production IssuesSpin up a pre-filled Linear issue with steps, session links, and customer impact, ready to share with the rest of the team.AI Assisted ResolutionDecipher hands structured context to your preferred AI coding tool (Claude Code, Cursor) to draft a pull request.Protect Revenue PathsPrioritize incidents by customer impact and critical flows. Create a test in one click to prevent regressions.



EnterpriseEnterprise readyDecipher AI is designed from the ground up for the largest enterprises. From security to custom integrations.Chat With UsChat With UsEncrypted at Rest & In-TransitAll data is secured using industry-standard AES-256 encryption.Client-Side PII MaskingSensitive data is masked on the client before it ever reaches our servers.SOC2 Type II AuditedSOC 2 Type II audited to verify our security controls and processes.IntegrationsConnect to the tools you already usePlug-and-play with Github, Sentry, and your existing test suite. Easily run tests in CI/CD, sync issues in Linear and Asana, and get real-time alerts sent to your platform of choice. Connect to your favorite coding agent so it can jump right to a fix. Case StudiesTrusted by world class teamsLearn how Decipher AI has transformed companies with agentic QAHow 11x Saves 90 Hours Per Week And Discovers 100's of Issues With DecipherHow Decipher Saves Ion 10 hours A Week Investigating IssuesPricingFlexible plans for fast growing startups and enterprisesChoose the plan that fits your goalsProFor growing businesses$250$250/month14 Day Free TrialUnlimited test generations1,250 test runs +$0.20/run additional5,000 monitored user sessions +$0.05/session additionalLinear and coding agent integrationAgent learning and self healing30-day data retentionBook a callBook a callEnterpriseFor the full power of DecipherCustomEverything in ProSAML/SSODedicated SupportCustomizable RetentionBook a callBook a callBook a demo – learn more about how agentic QA can help your teamGet a demoGet a demoWhy not just have Claude Code generate Playwright?Playwright is a great framework, but it has some major limitations. AI-generated Playwright tests are often unreliable because they guess at selectors and assertions from code context alone, without verifying that the right things were actually clicked or that the test matches your intent. Decipher uses vision plus the DOM to validate that each step truly worked. With Playwright, you also own the infrastructure, which means managing browsers, CI runners, parallelization, environments, and retries yourself, while Decipher runs tests on managed infrastructure. Maintenance is another challenge: Playwright tests are static, so if you rename a field, move a button, or make other UI changes, your CI can break. Decipher continuously updates tests as your product evolves, so there is no flake triage and no babysitting locators. When failures happen, Playwright usually gives you a stack trace and maybe a screenshot, while Decipher explains the reason in plain language, whether the flow changed, there is a real bug, or a dependency failed. And while visual assertions in Playwright are painful or sometimes impossible, such as checking whether dark mode looks right, Decipher can evaluate the UI visually and semantically, not just through DOM nodes.Are the tests that Decipher generates flaky?Nope! The Decipher agent automatically heals tests as selectors or steps become outdated. You'll be notified about meaningful adjustments, but otherwise you can just worry about shipping.Does Decipher work on mobile?Native iOS and Android support is not available yet but is on our roadmap for later this year. How does production issue monitoring work?Just install the SDK and the agent watches sessions and correlates on-screen behavior with technical signals such as failed requests, console errors, UI dead ends, form loops, rage clicks, odd state transitions, and more. When it detects a true failure, it creates a focused alert with impact (who/which accounts were affected), one-click repro via the exact session moment, and an optional ticket plus guardrail test to prevent regressions.BlogsLearn from the teamMusings from the Decipher teamMichael RosenfieldCo-founderArticleWhat's new with Playwright in 2026?Michael RosenfieldCo-founderArticleWhat AI-Generated Playwright Tests Get Wrong in ProductionMichael RosenfieldCo-founderArticleSelf-Healing Tests Are Not Enough: What Actually Breaks After UI ChangesShip fast.Without the bugs.Get a demoGet a demo --- BlogBlogLearn all about how to ship fast and fix thingsMar 17, 2026What's new with Playwright in 2026?Michael RosenfieldCo-founderArticleMar 17, 2026What's new with Playwright in 2026?Michael RosenfieldCo-founderArticleMar 17, 2026What's new with Playwright in 2026?Michael RosenfieldCo-founderArticleMichael RosenfieldCo-founderArticleWhat AI-Generated Playwright Tests Get Wrong in ProductionMichael RosenfieldCo-founderArticleSelf-Healing Tests Are Not Enough: What Actually Breaks After UI ChangesMichael RosenfieldCo-founderArticleHow to Use Claude Code to Write Tests: API and E2EMichael RosenfieldCo-founderArticleWhy Manual Testing Can't Survive the Age of AI Coding AgentsMichael RosenfieldCo-founderLaunchDecipher x Claude: Let Claude Code generate self-maintaining E2E testsMichael RosenfieldCo-founderArticleHow to Use Claude Code to Write Playwright Tests (With Playwright MCP)Michael RosenfieldCo-founderArticleCustomers Are Finding Your Bugs First. Here's What That Actually Costs.Michael RosenfieldCo-founderArticlePlaywright vs Cypress vs Selenium in 2026: An Honest Comparison (And When to Skip All Three)Michael RosenfieldCo-founderArticleHow to Use AI for Tests: A Practical Guide for Development TeamssLoad MoreMichael RosenfieldCo-founderArticleWhat AI-Generated Playwright Tests Get Wrong in ProductionMichael RosenfieldCo-founderArticleSelf-Healing Tests Are Not Enough: What Actually Breaks After UI ChangesMichael RosenfieldCo-founderArticleHow to Use Claude Code to Write Tests: API and E2EMichael RosenfieldCo-founderArticleWhy Manual Testing Can't Survive the Age of AI Coding AgentsMichael RosenfieldCo-founderLaunchDecipher x Claude: Let Claude Code generate self-maintaining E2E testsMichael RosenfieldCo-founderArticleHow to Use Claude Code to Write Playwright Tests (With Playwright MCP)Load MoreMichael RosenfieldCo-founderArticleWhat AI-Generated Playwright Tests Get Wrong in ProductionMichael RosenfieldCo-founderArticleSelf-Healing Tests Are Not Enough: What Actually Breaks After UI ChangesMichael RosenfieldCo-founderArticleHow to Use Claude Code to Write Tests: API and E2EMichael RosenfieldCo-founderArticleWhy Manual Testing Can't Survive the Age of AI Coding AgentsMichael RosenfieldCo-founderLaunchDecipher x Claude: Let Claude Code generate self-maintaining E2E testsMichael RosenfieldCo-founderArticleHow to Use Claude Code to Write Playwright Tests (With Playwright MCP)Load More --- LaunchFebruary 24, 2026Decipher x Claude: Let Claude Code generate self-maintaining E2E testsTL;DR: Decipher is an agentic QA platform used by companies like Bilt, Arize, and Vial. With our new Claude Code integration, Claude can generate, maintain, and run E2E tests through Decipher's agents and infrastructure. Teams shipping 10x faster with coding agents are seeing regressions skyrocket. Now you can create dozens of reliable tests in minutes.What is it? Install Decipher in Claude Code (docs here), set up a login identity, and you can start asking Claude to make reliable E2E tests that are maintained by Decipher and automatically update as your product changes.Examples:Describe a flow: "Test workflow generation: go through setup, select GPT5, save. Assert the generation completes."Bulk creation: "Make 10 tests for each filter on /dashboard. Test edge cases for each."Update existing tests: "Our account creation test is failing because we removed oauth. Update it to use email and password."Evaluate coverage: “Which pages or flows are we not covering with our tests today?”Why not just have Claude Code generate Playwright?Playwright is a great framework. But there are some major limitations:Unreliable generation. AI-generated Playwright tests guess at selectors and assertions from code context alone. They don’t verify the right things were clicked or that the test matches your intent. Decipher uses vision + DOM, validating each step actually worked efficiently.You own the infra. Playwright means managing browsers, CI runners, parallelization, environments, and retries yourself. Decipher runs tests on managed infrastructure.Constant maintenance. Playwright tests are static. Rename a field, move a button, CI goes red. Decipher updates tests continuously as your product changes. No flake triage. No babysitting locators.Dumb failures. Playwright gives you a stack trace and maybe a screenshot. Decipher tells you why it failed: flow changed, real bug, or dependency issue. Plain language.No visual assertions. Writing a Playwright check for "does dark mode look right" is painful or impossible. Decipher evaluates UI visually and semantically, not just DOM nodes.How it works:Claude talks to Decipher's agent. Claude sends steps, Decipher’s agent executes them in a real browser. If a step fails and it needs Claude’s help, Claude gets feedback and screenshots, adjusts, and retries. The result is a validated and reliable test, not a best-guess script.Tests live and run on Decipher. Run them in CI/CD or on a schedule. As your product changes, Decipher's agent updates them automatically.Failures are explained, not just reported. When a test breaks, you get what failed, why, and whether it's a real bug or a product change.Want to try it?Book a call and we'll get you set up: cal.com/decipher/discoveryOr try it yourself from the docs (reach out with any questions): docs.getdecipher.com/pages/features/testing/generate-with-claudeWritten by:Michael RosenfieldCo-founderShare with friends:Share on X --- Case StudyHow 11x Saves 90 Hours Per Week And Discovers 100's of Issues With Decipher11x, the leader in leader in Agentic Digital Workers for GTM, used Decipher to discover and prioritize issues“Decipher’s basically 1,000 QA interns watching every user session in real‑time and obsessing over improving the user experience. In the first four weeks it surfaced over one hundred issues and UX improvements. Now the team ships features instead of binge‑watching session replays.” — Keith Fearon, Head of Product & Growth, 11x“Decipher’s basically 1,000 QA interns watching every user session in real‑time and obsessing over improving the user experience. In the first four weeks it surfaced over one hundred issues and UX improvements. Now the team ships features instead of binge‑watching session replays.” — Keith Fearon, Head of Product & Growth, 11x11x Saves 90 hours Per WeekDecipher saves 90 hours a week across engineering and customer success. Less manual triage and investigating tickets and agent behavior.11x Saves 90 hours Per WeekDecipher saves 90 hours a week across engineering and customer success. Less manual triage and investigating tickets and agent behavior.11x Saves 90 hours Per WeekDecipher saves 90 hours a week across engineering and customer success. Less manual triage and investigating tickets and agent behavior.11x Discovered 160+ Issues In Just Four WeeksOver 160 users encountered UX friction, broken features, or error messages and were flagged before support tickets appeared11x Discovered 160+ Issues In Just Four WeeksOver 160 users encountered UX friction, broken features, or error messages and were flagged before support tickets appeared11x Discovered 160+ Issues In Just Four WeeksOver 160 users encountered UX friction, broken features, or error messages and were flagged before support tickets appearedThe OpportunityWith rapid growth and thousands of daily sessions, 11x’s product and engineering teams were sifting through thousands of sessions:Tens of hours spent scrubbing replays still let critical bugs slip throughSupport learned about issues before engineering, slowing releases and impacting customer satisfactionPrioritization was guesswork without hard numbers on severity or customer impact11x needed a way to see every failure the moment it happened — and know exactly which fixes would matter most.The SolutionWith Decipher, issues were detected in seconds, investigations cut to minutes, and the entire product team freed to focus on building rather than triaging.Always-On Monitoring11x leveraged Decipher's always on monitoring to shadows every customer session, log line, and UI event in real time. The moment something breaks or behaves unexpectedly, 11x sees it—no dashboards to babysit and no sampling gaps—so coverage is effectively total while team effort stays at zero.Smart Alerts The team setup Smart Alerts based on severity thresholds 11x cares about, meaning the team hears about genuine problems and isn’t drowned in noise. Critical bugs surface instantly; minor edge cases stay quiet.Linear IntegrationThe 11x team used the one-click linear ticket feature to close the loop. From an issue, a pre-filled ticket—repro steps, severity rating, customer impact—is pushed straight to Linear. Handoff to engineering is instant and always contains the data needed to act.All of this went live in under five minutes because Decipher AI slots into the existing stack. The ResultsDecipher AI turned days of manual investigation into minutes of confident action:Issues now discovered in seconds — issues surfaced almost immediately after first occurrencePrioritization made simple — automatic clustering grouped similar failures, revealing the biggest levers for quality gainsImproved proactive customer care — hot‑fixes shipped before many users even noticed the bugTeam velocity unlocked — engineers traded replay‑watching for feature‑building, while PMs prioritised with concrete impact data“Decipher’s basically 1,000 QA interns watching every user session in real‑time and obsessing over improving the user experience. In the first four weeks it surfaced over one hundred issues and UX improvements. Now the team ships features instead of binge‑watching session replays.” “Decipher’s basically 1,000 QA interns watching every user session in real‑time and obsessing over improving the user experience. In the first four weeks it surfaced over one hundred issues and UX improvements. Now the team ships features instead of binge‑watching session replays.” — Keith Fearon, Head of Product & Growth, 11xThe OutcomeDecipher AI fundamentally cut the discover → diagnose → fix cycle from days to hours:Customers experience fewer blockers and faster resolutionsProduct & engineering reclaim timeRoadmap decisions can now lean on quantified severity and account impact, not gut feelWith Decipher AI running silently in the background, 11x has now solidified its position as the leader in Agentic Digital Workers for GTM teams. The always‑on product‑intelligence approach frees engineering hours, surfaces the most impactful issues, and gives the team clear data to prioritize work and make better product decisions, keeping 11x ahead in the rapidly evolving digital workers landscape.