Ito is an AI code review tool that runs your app before it reviews the code. For every pull request, Ito spins up an ephemeral environment, validates impacted flows, and returns runtime evidence so teams can catch bugs that static analysis and model-only reviewers miss. Instead of guessing from diffs, Ito shows what actually broke, where it happened, and why it matters before the PR reaches production.
Coding agents produce more code than you can review. Existing code review tools only stare at the code, so you still have to review tons of code or build complex internal systems to verify it.
Ito is a runtime code review tool. On every pull request:
Creates test plan from code, PR description, ticket, your input
Builds your app in a single-use isolated container with the ability to use credentials, seed data to reach the state that matters, and use external services just as an engineer would on their local machine. Mocks data/code when it doesn’t have access.
Drives the app with a swarm of agents (click, navigate, API call, db verification)
Catches runtime issues: concurrency, failure handling, data migration, authentication, etc.
Posts results on PR with evidence: video, logs, screenshots
We built Ito with a team of 8 MIT engineers, and spent many cycles to arbitrarily build any application.
Ito gets better the more you use it:
Responds to feedback
Faster runtimes every run as Ito learns how to navigate your application and builds tools to manipulate your environment
Reviews focused on the areas you care about (sees what gets fixed vs ignored)
Test instruction per org, per repo, or per author
First 100 reviews free, no card. $40/mo after that. Free forever for open source (already supporting >100k stars): app.ito.ai?ph
Ito launched on Product Hunt on August 13th, 2026 and earned 278 upvotes and 32 comments, earning #2 Product of the Day. Ito is an AI code review tool that runs your app before it reviews the code. For every pull request, Ito spins up an ephemeral environment, validates impacted flows, and returns runtime evidence so teams can catch bugs that static analysis and model-only reviewers miss. Instead of guessing from diffs, Ito shows what actually broke, where it happened, and why it matters before the PR reaches production.
On the analytics side, Ito competes within Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how Ito performed against the three products that launched closest to it on the same day.
Who hunted Ito?
Ito was hunted by Ben Lang. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Ito including community comment highlights and product details, visit the product overview.
Ben Lang
Hey Product Hunt. I'm Evan, cofounder of Ito.
Coding agents produce more code than you can review. Existing code review tools only stare at the code, so you still have to review tons of code or build complex internal systems to verify it.
Ito is a runtime code review tool. On every pull request:
Creates test plan from code, PR description, ticket, your input
Builds your app in a single-use isolated container with the ability to use credentials, seed data to reach the state that matters, and use external services just as an engineer would on their local machine. Mocks data/code when it doesn’t have access.
Drives the app with a swarm of agents (click, navigate, API call, db verification)
Catches runtime issues: concurrency, failure handling, data migration, authentication, etc.
Posts results on PR with evidence: video, logs, screenshots
We built Ito with a team of 8 MIT engineers, and spent many cycles to arbitrarily build any application.
Ito gets better the more you use it:
Responds to feedback
Faster runtimes every run as Ito learns how to navigate your application and builds tools to manipulate your environment
Reviews focused on the areas you care about (sees what gets fixed vs ignored)
Test instruction per org, per repo, or per author
First 100 reviews free, no card. $40/mo after that. Free forever for open source (already supporting >100k stars): app.ito.ai?ph
You can also try out open source PRs without signing up here: https://www.ito.ai/review?ph