What is GetWebstack?
Zero-config agentic QA
GetWebstack generates end-to-end test cases and runs them in parallel inside isolated sandboxes, so quality keeps pace with AI-driven development speed.
- Catch bugs before prod: Gives a full QA report with artefacts.
- Works on any stack: Builds the full-stack environment from your repo.
- Full privacy: Runs on your infrastructure.
The Challenge
AI has changed how code gets written, but not how it gets tested. Agentic QA tools promise to close that gap, but most start from a URL you have to provide: they test from outside, against an environment you still have to build, deploy, and seed yourself. The hardest part of the problem stays on your desk.
The Solution
GetWebstack brings QA into the agentic workflow. It starts from your code, not an URL. It generates test cases, and runs them in parallel in isolated sandboxes.
The loop is simple:
- Generate: GWS CLI reads the branch diff or the implementation plan and drafts test cases. You review and edit them; you own what gets tested.
- Run: the real app spins up in an isolated environment with controlled seed data, and the cases run in parallel.
- Report: pass/fail per case, screenshots, repro steps, and the suspected failing code area, shareable from the dashboard.
Your test suite, seed data, and environment config persist per app, so every run makes the next QA run better.
See the Branch QA Report walkthrough.
Who is it for?
GetWebstack is built for teams that ship with AI coding agents and run a genuinely multi-service stack: frontends, APIs, databases, queues. If your development speed jumped but your QA is still manual, or you need code to stay on your own machines for compliance reasons, this is for you.
Ready to try it? Head to the installation guide.
What Makes GetWebstack Different?
🧪 QA runs against the real app Every run builds your full multi-service app from your code, seeds it with controlled data, and runs the generated test cases against it. It tests your actual app, not mocks or a preview link.
⚡ Runs in parallel, fully isolated Each QA run gets its own private sandbox, so you can validate many changes at once without them interfering with each other.
🎯 Reports that pinpoint the failure Each run comes back with pass/fail per case, screenshots, repro steps, and the suspected failing code area. Actionable, not "something broke."
♻️ QA that compounds Your test cases, seed data, and setup persist per app, so every run makes the next QA run sharper.
vs. AI-QA tools: repo-in, not URL-in
The clearest way to see what's different is the input model.
URL-in AI-QA tools require a running URL you supply, so the tester sits outside the system under test.
GetWebstack is repo-in: it builds the environment from your code. That's what unlocks controlled seed data, many isolated runs in parallel, and reports that point to the failing code area.
| URL-in AI-QA tools | GetWebstack | |
|---|---|---|
| Input | A running URL you supply | A repo — GWS builds the env zero-config |
| System under test | Outside it — black box | Owns it — built from the repo |
| Seed data | Inherited, uncontrolled | Controlled, deterministic |
| Parallel isolated envs | No — one shared URL | Yes — one namespace per repo path |
| Failure attribution | "The page broke" | Suspected failing code area |
| Environment setup | Your problem — must already have a deploy | /gws-setup + gws up, any stack |