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
It's a neat approach that is differentiated from and complimentary to the standard AI review tools. We use it and it has surfaced bugs other tools missed on multiple occasions.
The team moves fast too and is very responsive to feedback. They are a pleasure to work with.
Hi, I'm Geoff, a software engineer on the Ito team. 👋
The thing I love most about Ito: it actually runs the code. 🚀 Every PR I open comes back with a test plan that was
executed, not just read.
⚡ Automates the manual testing I used to do by hand — click through the flow, check the edge cases, confirm nothing else broke. That's hours back every week.
🐛 Catches bugs I would have missed. Real runtime failures that linters and static analysis structurally can't see,
because they never execute anything.
🤖 Makes agentic loops genuinely feasible. When an agent writes the code, something has to verify it actually works
Ito is that step, so I can let the loop run longer and trust what comes out the other end.
Getting to build this as an engineer who also uses it every day has been the most fun I've had on a product. 🎉
Easy to try and see how Ito can help your team: app.ito.ai
The runtime approach to code review is really interesting. Instead of just analyzing what the code looks like, Ito actually checks how the application behaves in real scenarios and backs the findings with evidence. The combination of agent swarms and isolated environments makes this especially relevant as AI-generated code keeps increasing.
the "mocks data when it doesn't have access" line is the scary part to me, a mocked call that quietly diverges from the real service gives a false pass that looks more trustworthy than static analysis. do you flag which parts of the evidence pack came from a mock vs a live call?
Love the runtime angle. How do you handle PRs that touch external services — mock them in the ephemeral env, or spin up real instances?
Really interesting approach to code review. The fact that Ito actually runs the app and returns runtime evidence makes this feel much more actionable than reviews based purely on diffs. Especially compelling for the edge cases static analysis can miss. Congrats on the launch! 🚀
Congrats to you and the team, Evan! This is a huge problem, and I know it will remain one. Excited for you all to help eng teams solve it.
Hi, I'm Barron Caster, Co-Founder of Ito AI.
The thing I love most about Ito: gives me confidence to ship fast as a non-engineer. I've fully taken over our marketing site and don't have to bother engineers to check my code.
Vibecoding our entire marketing site & infra (design, content, performance improvements, SEO, etc)
Knows entire context of our codebase so nothing gets left behind. Can request specific tests if I want them (e.g. focus on mobile usability of the blog)
Videos of everything working for every change (and feature demo videos coming soon)
Now the whole team is shipping faster.
Easy to try and see how Ito can help your team: app.ito.ai?ph
About Ito on Product Hunt
“AI code review that runs your code”
Ito launched on Product Hunt on August 13th, 2026 and earned 285 upvotes and 33 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.
Ito was featured in Developer Tools (517.5k followers), Artificial Intelligence (475.9k followers) and GitHub (41.4k followers) on Product Hunt. Together, these topics include over 219.7k products, making this a competitive space to launch in.
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.
Want to see how Ito stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
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