Record manual QA flows, get E2E test code that fits your repo
TLDR: Desktop app for E2E web test generation, built at JetBrains (closed beta). Record the flow in a built-in browser - the agent matches it with your existing codebase, then writes a test that passes, not a draft to debug. Devs use AI to ship more code. That code still needs testing. If your team writes E2E tests by hand, you have a problem - same QA capacity, way more surface to cover. AI agents can write E2E test code, but you're stuck describing flows in text - the agent clicks around via Playwright MCP, takes wrong turns, you re-prompt, retry. 30 minutes for a flow you could click…
Record manual QA flows, get E2E test code that fits your repo launched on March 24, 2026 with 19 votes, #885 of 23,380 launches that month and more than 90% of that year's launches.
In plain words
Qure is a desktop application for generating end-to-end web test code by recording user flows through a built-in browser. Built by JetBrains and currently in closed beta, it lets QA teams and developers record actual interactions with their product, then automatically generates test code that integrates with their existing codebase. Unlike text-based AI test generation that requires prompt engineering and often produces drafts needing debugging, Qure converts recordings directly into working tests. It's designed for teams writing E2E tests manually who need to increase test coverage without proportionally expanding QA capacity.
written from the facts on this page · September 2026
From the sources
Discover and participate in clinical research with Qure. Join global trials actively seeking participants and help advance healthcare. With millions facing rare diseases and treatments falling short, Qure bridges the gap, connecting participants with research.
Desktop app that turns manual web testing flows into reliable E2E tests following your conventions
In the maker’s words, at launch
TLDR: Desktop app for E2E web test generation, built at JetBrains (closed beta). Record the flow in a built-in browser - the agent matches it with your existing codebase, then writes a test that passes, not a draft to debug. Devs use AI to ship more code. That code still needs testing. If your team writes E2E tests…
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