The validation layer for AI-native teams. Point it at a branch: it generates test cases you review, builds your real app in an isolated environment with controlled seed data, runs the QA, and hands back a report — pass/fail per case, expected vs. actual, a screenshot of the failure, the steps to reproduce, and the suspected code area — before the branch merges.

How is this different from Lark, Momentic, or other AI-QA tools?

They're URL-in: you give them a deployed URL and they test from the outside. GetWebstack is repo-in — it builds the app from your code, so it controls seed data (bugs reproduce) and runs a separate env per branch (QA many PRs at once), and attributes each failure to the changed code area — the repo-in edge a URL-in black box structurally can't match.

I already have unit and integration tests. Why do I need this?

They're necessary, and GetWebstack doesn't replace them. Unit and integration tests check your logic in isolation, on mocked or partial dependencies, so they pass green while the bug lives in how the real services behave together with real data. GetWebstack runs your whole app end to end on every branch (real frontend, API, worker, and database, with controlled seed data) before the code merges, catching the class of bug that only shows up when the system actually runs: the 500 on checkout, the broken migration, the copy that didn't ship.

Do I need a deployed URL or a staging environment?

No. GWS builds the environment from your repo, zero-config — so a branch that isn't deployed yet still gets a report.

Synthetic or anonymized seed data only — never your production data. Pilot environments run on your own cluster (we set it up with gws cluster up) or on isolated infrastructure we host — your choice; the seed-data rule holds either way.

Will the tests be flaky?

Controlled, deterministic seed data means a failure is a real, reproducible bug — not noise to re-run.

Do I have to write or maintain tests?

No. GWS drafts the cases from your code; you review and edit. No scripts, no selectors to maintain. It also shows how well the generated cases cover the branch's acceptance criteria — flagging gaps and conflicts — so you're not trusting the suite blind.

What stacks and agents does it work with?

Proven on JS/TS, Python, Go, and full-stack monorepos like React + Express (backend + frontend + DB). Drive it from Claude Code or Codex via installed skills / /gws-* slash commands — not MCP. And the agent doesn't just run the QA: it reads the report, fixes the failures, and re-runs until the cases pass.

How do I start, and what does it cost?

Create a free account and start on your own machine — install the skills and drive the QA from your coding agent. Want it hands-on instead? Book a call, bring one risky branch, and we'll run your first report with you — pilot pricing is scoped to your app and stage on the call.

FAQ

Ask us anything

What is GetWebstack?
The validation layer for AI-native teams. Point it at a branch: it generates test cases you review, builds your real app in an isolated environment with controlled seed data, runs the QA, and hands back a report — pass/fail per case, expected vs. actual, a screenshot of the failure, the steps to reproduce, and the suspected code area — before the branch merges.
How is this different from Lark, Momentic, or other AI-QA tools?
They're URL-in: you give them a deployed URL and they test from the outside. GetWebstack is repo-in — it builds the app from your code, so it controls seed data (bugs reproduce) and runs a separate env per branch (QA many PRs at once), and attributes each failure to the changed code area — the repo-in edge a URL-in black box structurally can't match.
I already have unit and integration tests. Why do I need this?
They're necessary, and GetWebstack doesn't replace them. Unit and integration tests check your logic in isolation, on mocked or partial dependencies, so they pass green while the bug lives in how the real services behave together with real data. GetWebstack runs your whole app end to end on every branch (real frontend, API, worker, and database, with controlled seed data) before the code merges, catching the class of bug that only shows up when the system actually runs: the 500 on checkout, the broken migration, the copy that didn't ship.
Do I need a deployed URL or a staging environment?
No. GWS builds the environment from your repo, zero-config — so a branch that isn't deployed yet still gets a report.
What about my data?
Synthetic or anonymized seed data only — never your production data. Pilot environments run on your own cluster (we set it up with gws cluster up) or on isolated infrastructure we host — your choice; the seed-data rule holds either way.
Will the tests be flaky?
Controlled, deterministic seed data means a failure is a real, reproducible bug — not noise to re-run.
Do I have to write or maintain tests?
No. GWS drafts the cases from your code; you review and edit. No scripts, no selectors to maintain. It also shows how well the generated cases cover the branch's acceptance criteria — flagging gaps and conflicts — so you're not trusting the suite blind.
What stacks and agents does it work with?
Proven on JS/TS, Python, Go, and full-stack monorepos like React + Express (backend + frontend + DB). Drive it from Claude Code or Codex via installed skills / /gws-* slash commands — not MCP. And the agent doesn't just run the QA: it reads the report, fixes the failures, and re-runs until the cases pass.
How do I start, and what does it cost?
Create a free account and start on your own machine — install the skills and drive the QA from your coding agent. Want it hands-on instead? Book a call, bring one risky branch, and we'll run your first report with you — pilot pricing is scoped to your app and stage on the call.

What is GetWebstack?