TestMu AI
World's first full-stack Agentic AI QE Platform.
4.8•12 reviews•3.3K followers
World's first full-stack Agentic AI QE Platform.
4.8•12 reviews•3.3K followers
TestMu AI is a Full Stack Agentic AI Quality Engineering platform that helps teams test intelligently and ship faster. Built for scale, it delivers end-to-end AI agents that plan, author, execute, and analyze software quality across web, mobile, and enterprise apps on real devices, browsers, and environments. Going beyond automation, TestMu AI Agents bring agentic intelligence to the entire SDLC, continuously boosting the speed, accuracy, and depth of testing.
This is the 14th launch from TestMu AI. View more
Kane CLI
Launched this week
An agentic quality verifier for developers and AI coding agents. Describe a test in natural language, and Kane CLI runs it in a real Chrome browser and returns pass or fail with shareable proof. No selectors to write. Local-first, free to start.
Free Options
Launch Team / Built With
Hi everyone, I'm one of the engineers building Kane CLI. Good to finally have this out in the world.
The part I'm personally most proud of: we built it agent-native from day one. I've spent 2+ years shipping frontend at TestMu AI, and if that taught me anything, it's that writing UI was never the slow part, proving it still works after every change is. AI has made the writing nearly instant, which makes verification the real bottleneck. So we designed for it: every command can emit machine readable output, meaning it's not just humans in a terminal, your coding agent (Claude Code, Cursor, whatever you use) can invoke kane-cli, stream the run, read the verdict, and act on it inside its own loop. AI writes the code, Kane CLI verifies it in a real browser (or on mobile), and the agent gets machine-readable proof back. Closing that loop is what makes autonomous dev workflows actually trustworthy.
The other thing we obsessed over: a pass has to actually mean something. Every verdict ships with an evidence pack; screenshots, console logs, network responses; so a green check is never "the model felt good about it." You can see exactly what was verified, and when something fails you're not guessing.
It's local-first and free to start. Happy to answer any questions in the comments.
FuseBase
Congrats, team! How does Kane decide whether a natural-language test has actually passed when the page behavior is slightly different than expected?
TestMu AI
@kate_ramakaieva Thanks Kate! A pass is never vibes. It is granted only when the expected state is verified through explicit evidence: DOM state, URL changes, network responses, screenshots. If the page differs cosmetically (moved button, new label), Autoheal re-resolves the intent and continues. If the expected outcome itself is not met, or the match is genuinely ambiguous, it fails loudly. Real bugs still fail.
TestMu AI
@kate_ramakaieva
Cosmetic drift like a reworded label or a new CSS class gets re-resolved, since intent is anchored to what the user sees. Anything ambiguous is rejected rather than guessed at.
The pass itself needs evidence on the live page: DOM state, URL change, network response, or your own assertion. If there is no evidence, then there would be no green, and the .evidence pack itself will shows you the exact step where it broke.
Does the product integrate with other systems?
TestMu AI
@dan_rotaru Yes! CI/CD out of the box (GitHub Actions, GitLab, Jenkins) via exit codes, coding agents like Claude Code and Cursor via structured NDJSON output, and two-way Playwright/Selenium: import your existing scripts or export any run to native Playwright code.
TestMu AI
@dan_rotaru Yes it does.
CLI interface itself opens up a lot of possibilities and it can be wired up with a large number of dev tools out of the box.
We also release more integrations every other day so if you have any specific tool in mind, let us know and we will be happy to release integrations.
Awesome, i have been needing to formalise our test releases.. this is just what i was looking for.
TestMu AI
@lachlan_greenbank Love that Lachlan 🙏 That's the exact gap we built for. Tests live as _test.md in your repo, every run comes back with an evidence pack, and you can gate the deploy on it.
TestMu AI
@lachlan_greenbank Give it a go and let us know your feedback :)
Does Kane handle logged-in flows automatically, or do we need to set up auth ourselves?
TestMu AI
@deepak144 Both work. You can log in as part of the objective itself, just describe it in natural language with your credentials as variables. Or for flows that depend on an existing session, use a named Chrome profile: run kane-cli config chrome-profile, log in once, and every run after that starts already authenticated. No auth code to write either way.
Lancepilot
TestMu AI
@priyankamandal Kane CLI does not fail silently or try to bypass these. It has a built-in Ask tool: when a run hits an OTP screen, a CAPTCHA, a payment confirmation, or any ambiguous state, it pauses, asks the human for input, and resumes exactly where it left off once answered.
TestMu AI
@lt_prakhar Yes! The Starter plan is free with 100 credits, no framework setup. One install command and your first run lands in minutes 🚀
TestMu AI
@lt_prakhar It's free to signup and use. It comes with free credits for you to get started with.
But would be happy to open up broader access if required for POC :)