Your AI QA engineer
Catches bugs before you ship
Give it a URL. Describe what to check in plain text, an intent or a scenario. Or let IronBee find it on its own through change analysis. It opens the app, drives it click by click, and tells you which line to change.
Make sure a coupon actually reduces what the customer gets charged, not just the price shown on the page. Follow the discount all the way to the payment call, and tell me the moment the amount on the screen and the amount we charge stop agreeing.
- navigateshop.ironbee.ai0:00
- snapshotDOM · 148 interactive elements0:03
- click“Aeron Chair”0:06
- clickAdd to cart0:09
- navigate/checkout0:14
- fillcoupon SPRING200:21
- screenshotcheckout · 1440 × 9000:24
- readorder total $1,116.000:27
- fillshipping and card details0:40
- clickPlace order0:46
- networkPOST /api/checkout · 200 OK0:47
- requestbody carried total: 1395000:47
- screenshotconfirmation · full page0:51
- readconfirmation “Order confirmed”0:52
- compareshown vs charged0:53
Workspace, sorted.
Customers are charged the pre-discount amountP0
The coupon is applied in the cart component but never reaches the server. /api/checkout recomputes the total from raw line items and ignores cart.coupon. Nothing threw, nothing logged, every request returned 200, and every screen showed the discounted price.
const cart = await getCart(session);- const total = cart.items.reduce((s, i) => s + i.price, 0);+ const subtotal = cart.items.reduce((s, i) => s + i.price, 0);+ const total = applyCoupon(subtotal, cart.coupon); return charge(total, cart.paymentMethod);
Evidence
What the run itself saw: screenshots and the video of it, the DOM behind them, every request and response that went out underneath, and whatever the console printed while it happened.
OpenTelemetry
Your own spans from the same request, so a failure on screen lines up with what the server was actually doing.
Live debugging
Execution stops inside the failing request, on your code, with the frame still live. Step it, read the variables, and watch the wrong value being produced.
Codebase
The diff and the source around it, so the answer comes back as a file and a line instead of a description of the symptom.
The agentic testing layer.
You say what matters. IronBee writes the scenarios, drives them, keeps them alive as the product changes, explains what broke with the evidence attached, and proves that every change you shipped was actually driven.
You say what matters. We do the rest.
One sentence is the whole input. IronBee works out the path through your app, writes the steps, drives them, and keeps them running. There is no test file for you to write, name, or own.
Make sure a coupon actually reduces what the customer gets charged.
The code and product changed. The scenarios change with it.
A commit renames a button, splits a form, moves a field to another page. IronBee reads the diff, rewrites the steps it affects, works out which journeys that commit can actually reach, and re-runs only those.
Root cause, not just a red X
Evidence, OpenTelemetry spans, the live debugging session and your codebase go into one analysis. What comes out is a file, a line and a reason.
Live debugging on the run that failed
Scrub the replay, open the span that took too long, read the payload that went out. The failure is a session you can step through, not a screenshot.
Proof that every change was checked.
An AI agent will happily tell you “all good, I tested everything”, even when it skipped half of it. IronBee doesn’t take its word for it. Every change you merged is a line on this list, with the scenario that drove it and when it passed. When it says one hundred percent, that’s mechanical fact, not the agent’s opinion. Nothing went out unexercised.
12 of 12 commits verified on this branch
Test and fix in your agent
One click hands the failing run, the replay and the diff to Claude Code, Cursor or Codex.
Verified on the preview before prod
The preview deploys, then IronBee drives it. Every change is exercised on staging while it is still a pull request.
GitHub Integration
Drop in the Action and every pull request is verified against the running app. The verdict posts as a check with the failing action and diff inline, and a failure comes back fixed on the branch, evidence linked.
Re-verify and fix until green
Your agent applies the fix, IronBee replays the flow, and the loop repeats until every flow passes.
Every commit gets its own test.
Push to a pull request and IronBee steps in. Vercel deploys the preview, IronBee reads what the commit changed, writes a scenario for that change, and drives it on staging, long before any of it reaches production.
A commit lands on a pull request
Nothing to schedule and no workflow file. The push is the trigger.
Vercel deploys the preview
Nothing is held up. The deployment finishes as it always did, and IronBee starts once the preview is live.
The diff becomes a scenario
IronBee reads what changed and writes the journey that change can break, rather than replaying a fixed suite.
The result lands on the commit
Pass or fail on staging, with the failing action, the replay and the suggested diff attached, while it is still a pull request.
Questions, answered.
Everything you need to know about IronBee.
Testing tools only run the tests you write. Static analysis reads the diff but never runs it. Both miss what only shows up at runtime. IronBee takes over after an agent finishes: it verifies the change by actually running it, catches the issues your tests and your linters can’t see, investigates failures to the root cause, and fixes them automatically.