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Qlane
Merge PRs with confidence - AI QA that runs your whole app
Most tools sit on one side of a line. AI code-review tools read the diff but never run it, so they guess "this could be null." Black-box E2E tools drive a real browser but see only the DOM. Qlane boots your whole app in a sandbox and tests it from the inside - browser, shell, source, plus connectable logs and database - so it reports only bugs that actually reproduce, and traces each to its root cause. runs your app, not just your code.
Hey Product Hunt - Nazar here, founder of qlane. We built this platform because reading code and running code catch completely different bugs - and almost everything on the market only reads.
On every pull request it clones, builds, and boots your actual app in an ephemeral sandbox - a single repo or your whole multi-service stack via Docker Compose with seeded data. Then an AI agent tests it from the inside, with an engineer's toolkit: a real browser, a shell, read access to your source, and connectable server logs, database, and error tracking.
The difference is where it looks:
- Static code review reads the diff and guesses.
- Black-box test tools click the UI and see the DOM.
- qlane reproduces the bug in the browser, then reads the failing network request, the matching server-log line, the offending DB row, and the source - and posts the root cause as a native GitHub review.
It runs your app, not just your code. Evidence, not opinions. Because it boots the whole stack, it also catches the cross-service bugs that single-component tests structurally can't see.
My question for you: what's the last bug that passed review and tests, then only showed up once the running app hit real data - and how long did it take to trace back to the actual cause?
Thanks for reading - I'll be in the thread all day.
About Qlane on Product Hunt
“Merge PRs with confidence - AI QA that runs your whole app”
Qlane was submitted on Product Hunt and earned 27 upvotes and 14 comments, placing #16 on the daily leaderboard. Most tools sit on one side of a line. AI code-review tools read the diff but never run it, so they guess "this could be null." Black-box E2E tools drive a real browser but see only the DOM. Qlane boots your whole app in a sandbox and tests it from the inside - browser, shell, source, plus connectable logs and database - so it reports only bugs that actually reproduce, and traces each to its root cause. runs your app, not just your code.
On the analytics side, Qlane competes within SaaS, Developer Tools and Artificial Intelligence — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how Qlane performed against the three products that launched closest to it on the same day.
Who hunted Qlane?
Qlane was hunted by Nazar Kuzmenko. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Qlane including community comment highlights and product details, visit the product overview.
Nazar Kuzmenko