Product
AI QA Engineer
From a broken flow to the line behind it.
Walks your critical flows and matches the session replays and error reports you link to them. Each break comes back with evidence, the cause and a draft fix with its test.
- 5/wkTraced breaks
- 5/wkDraft fixes with tests
FactoriesCore flows
IdleIllustrative runWalking critical flows onapp.example.com
src/server/cart/summary.ts
- Flows walked
- 0
- Draft pull requests
- 0
Draft pull requestfix/checkout-summary-no-discount into your default branch
Fix checkout summary for carts with no discount
Related solutions
See how teams in this category put agents to work.
Integrations
1 integration- GitHubConnects in chat
Get started with AI QA Engineer
Pick an example, connect your tools, and review the first run.
Set up the AI QA Engineer agent template for this project. Follow /SKILL.md for the exact CLI commands.
Goal: One entry per broken flow: the evidence, the root cause in code and a draft pull request with a test.
1. Install the CLI if it is not on PATH, check that I am signed in, and select my team and project.
2. Connect these integrations when asked: GitHub.
3. List the first-party workflow templates. If `e2e-fix-foundry` is listed, instantiate it with `--path.slug e2e-fix-foundry` and start the run; otherwise create a project from this template at /new?template=e2e-fix-foundry&preset=core-flows.
4. Share the run id, follow the run until it finishes, and summarize its outputs and changes.
Ask me before spending FTAI or changing anything outside this repository.
Launch from Claude Code, Codex, Cursor, and other agents.