AI Test Engineer by BlinqIO
Playwright code + self-healing tests w/ no vendor lock-in
467 followers
Playwright code + self-healing tests w/ no vendor lock-in
467 followers
BlinqIO’s AI Test Engineer builds and maintains Playwright automation in minutes - generating real code in your repo, integrating with CI/CD, and self-healing when your app changes. No lock-in, just faster, stable, zero-touch testing.
This is a strong take on a very real problem.
E2E tests usually fail not because the logic is wrong, but because maintaining them becomes a full-time job as the UI evolves.
Generating real Playwright code in the user’s own repo + no vendor lock-in is a big trust signal — that alone removes a lot of friction for adoption.
Curious about the self-healing part: when selectors change, how much is rule-based vs model-driven, and how do you avoid masking real regressions?
API testing support sounds like a natural next step. Congrats on the launch 👏
Finally a tool that treats flaky E2E tests as a code-gen problem, not a human debugging marathon! Love that the generated Playwright lives in my repo—no black-box lock-in and I can still npx playwright test on CI. Two quick questions:
Does the AI auto-heal only selectors, or can it also patch waits/assertions when latency spikes?
If I run tests on a private staging env behind VPN, will the BlinqIO cloud agent tunnel back to my network, or do I have to run everything locally?
Looking forward to stress-testing it against our most chaotic sprint. Congrats on shipping true vibe testing!
@haf_zhang Thanks for the thoughtful note.
On healing: BlinqIO’s AI healing focuses on element selectors and UI structure changes. It helps keep tests stable when the DOM shifts, without requiring manual updates. It does not auto-patch waits or assertions in response to latency or timing variability - those are still authored and tuned by the team.
On private staging behind VPN: if your staging environment is not reachable from the public internet, you would run tests locally or within your own CI/CD environment that has access to that network. The product does not create a cloud tunnel back into private environments. Tests are real Playwright, so npx playwright test (or CI runners) work fine inside your own network perimeter.
We are happy to support your stress testing if needed.
AI Test Engineer by BlinqIO
Hi everyone, I’m Rebecca from BlinqIO.
I’ve been part of the team preparing today’s launch and working with the team developing the NEW version of the AI Test Engineer. A big part of this release is Vibe Testing starting with intent and making automation easier to adopt in real teams. We’re excited to share it here and hear your feedback!!
Congrats team @sapnesh_naik @liat_niederman @barmeir_tal
Wingman Studio
How do you support modularity and reuse across multiple teams or projects?
@david_sipos we do not replace your architecture -we generate Playwright that fits into it, so modularity and reuse work the same way they do for the rest of your code.
BlinqIO leans on real Playwright code and your existing repo structure to support modularity and reuse across teams and projects.
The AI generates standard Playwright tests, so you can organize them into shared helpers, page objects, and libraries like any other codebase.
Because everything lives in your own Git repo, teams can reuse patterns via shared packages, monorepos, or templated projects rather than being locked into a proprietary test model.
You can also plug the generated tests into your existing CI/CD pipelines, so different teams can own their services while still sharing common utilities and conventions.
Vocably (a language-learning tool)
Nice idea!
@sneas Thank you Dimah!
Logtime
Congrats on the launch! I’ve been using BlinqIO and it’s been impressive. It intelligently updates test scenarios when the UI changes. It’s a real time-saver for creating and maintaining automated tests and speeding up QA. Vibe testing is here 😎
@max_feels Thank you Max for the feedback. Vibe testing is defenetly here
Is it possible for the AI to follow our internal coding standards or formatting rules?
@libby_hanliwang Right now the AI generates standard Playwright code that you can format and structure using your existing tooling (ESLint, Prettier, naming conventions, folders, etc.). It does not natively ingest internal style guides, but because the output lives in your repo and is real code, you can enforce formatting and standards the same way you do for any other codebase. This also makes it easy to refactor into shared helpers or page objects if you have those patterns in place.