The E2E testing layer for AI-driven development
San Francisco, CA
Joined August 2025
- Tweets13
- Following2
- Followers79
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Lark retweeted
Over 100 QA reports generated since launch.
We’re seeing real issues uncovered across SDKs, APIs, and dashboards—helping teams catch and fix problems before users report them.
Fast, structured, reproducible.
We just shipped QA Reports.
Deploy AI agents to test your product, uncover issues, and get back a structured report with reproducible test cases.
We ran it on the Vercel Sandboxes API. It mapped test areas, executed flows, and surfaced real issues in minutes.
Try it: getlark.ai
Example report (Vercel Sandboxes API): tests.getlark.ai/a/kiwi/qa-r…
Lark retweeted
We just shipped QA Reports.
Deploy AI agents to test your product, uncover issues, and get back a structured report with reproducible test cases.
We ran it on the Vercel Sandboxes API. It mapped test areas, executed flows, and surfaced real issues in minutes.
Try it: getlark.ai
Example report (Vercel Sandboxes API): tests.getlark.ai/a/kiwi/qa-r…
Lark retweeted
We just launched Repairs at Lark.
Ship a UI change. End-to-end tests break. Lark's QA agents automatically fix them.
No more test maintenance bottlenecks. Just turn on auto-repairs and keep shipping.
Try it → getlark.ai
Lark retweeted
Run agents like Claude Code in any sandbox.
We just open sourced runtimeuse.com - a framework for running agents in sandboxes without building all the infra yourself.
Agents + sandboxes are powerful. The hard part is everything around them:
- streaming messages
- file exchanges
- cancelling jobs mid-run, etc
We hit this while building @getlark, so we open sourced our runtime.
Try it: `npx -y runtimeuse --agent=claude`
Feedback welcome 👇
