To know what the code does, you have to run it.
For every PR, Ito builds a fresh isolated copy of your application, runs a swarm of AI agents through it, and posts the evidence before anyone merges. The diff shows you what changed. The run shows you what it actually does.
Reading code tells you what it says. Running it tells you what it does.
A diff can look completely reasonable and still break the moment real data moves through the system. The logic error that causes a token refresh to run after a redirect instead of before it is not visible in any single file. An off-by-one in date handling that only surfaces in a specific timezone needs a real session and real routing to appear. A drag-and-drop reorder that writes to local state and never calls the API looks correct in every static view of the code.
None of these is a careless diff. Each one depends on timing, state, or an integration path that reading cannot observe. Static analysis and code review are useful for what they do: surface likely problems in the code as written. The failure class they cannot cover is the one that only appears when the application runs.
Code that passes review and breaks in production is not a code quality problem. It is a visibility problem. That is the gap Ito is built for: running your application on every PR so the behavior is observable before the merge.
How it works.
Set up once: connect your repo, configure how deeply you want Ito to test, and add any plain-English instructions about what matters most to your team. From there, every PR runs on its own.
Your app, built from scratch.
For every PR, Ito deploys your application in a clean, single-use container built specifically for that change. Isolated from every other run, no state carried over, nothing shared across customers. The container runs your actual code, not a mock or a snapshot.
Ito navigates your app like a real user.
AI agents open your product in a real browser and work through the flows the PR touches. They sign in, navigate between pages, submit forms, and trigger backend calls. The agents work from the test plan Ito built from the PR diff and description, your organizations stated preferences, and from learning your organizations behavior. Every action hits your real application code.
Ito tests what only appears at runtime.
Beyond the happy path, Ito runs the scenarios that break things in production: double submits, expired sessions, rapid repeated actions, inputs at the boundary of what the code expects, and flows that cross permission levels. These are the cases that look safe in the diff and fail when a real user reaches them.
Results posted. Container destroyed.
Every interaction is recorded during the run. Once execution completes, the container is destroyed and your code does not persist beyond the run. What remains is the evidence package: video of what the agent did, screenshots at the moment of failure, reproduction steps, and the exact lines of code responsible, posted to the PR comment and the Ito dashboard before anyone merges.
How it works.
Set up once: connect your repo, configure how deeply you want Ito to test, and add any plain-English instructions about what matters most to your team. From there, every PR runs on its own.
Your app, built from scratch.
For every PR, Ito deploys your application in a clean, single-use container built specifically for that change. Isolated from every other run, no state carried over, nothing shared across customers. The container runs your actual code, not a mock or a snapshot.
Ito navigates your app like a real user.
AI agents open your product in a real browser and work through the flows the PR touches. They sign in, navigate between pages, submit forms, and trigger backend calls. The agents work from the test plan Ito built from the PR diff and description, your organizations stated preferences, and from learning your organizations behavior. Every action hits your real application code.
Ito tests what only appears at runtime.
Beyond the happy path, Ito runs the scenarios that break things in production: double submits, expired sessions, rapid repeated actions, inputs at the boundary of what the code expects, and flows that cross permission levels. These are the cases that look safe in the diff and fail when a real user reaches them.
Results posted. Container destroyed.
Every interaction is recorded during the run. Once execution completes, the container is destroyed and your code does not persist beyond the run. What remains is the evidence package: video of what the agent did, screenshots at the moment of failure, reproduction steps, and the exact lines of code responsible, posted to the PR comment and the Ito dashboard before anyone merges.
What only appears when you run it
The bugs that reach production share a shape. They read cleanly in the diff, pass static checks, and survive code review. They break the moment a real user reaches them because the failure lives in behavior, not in code structure. These are the cases Ito is built to catch:
Auth and session flows. A returning user opens the app to finish a purchase. An expired session drops them into a login loop because the token refresh check runs after the redirect instead of before it. The test against the refresh helper is green. The loop only appears with a stale token and real routing.
Data persistence. A drag-and-drop reorder looks correct in the UI, then reverts after the user navigates away and returns, because the reorder writes to local state and never calls the API. Every static view of the code looks fine. The failure lives in the round trip.
Third-party integration paths. A mocked dependency passes. The real one returns something the code did not expect, and the payment never clears or the confirmation never goes out. These flows only surface when the live path runs.
Race conditions. Two actions hit the same shared resource at the same moment. The outcome depends on timing that no diff review can reproduce.
Permission boundaries. A change that looks UI-only turns out to affect what a lower-privilege user can reach. The access control holds in isolation and breaks in the flow.
Questions teams ask before using Ito.
Common questions from engineering managers, senior engineers, and QA leads.
Your first PR tested within 60 minutes.
Connect your repo and Ito starts testing pull requests right away. Each PR includes a full QA report with video, screenshots, and failure details directly in the PR.
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