# Ito vs Claude Code Review: How Each Reviews a PR --- Both run on every pull request. Claude Code Review reads your code and leaves inline comments. Ito runs your application and reports what actually broke. Here is how they differ, and why most teams want both. --- ### Ito Runs your app and tests behavior on every PR. --- ### Claude Code Review Analyzes the diff using static analysis. --- ## Ito vs Claude Code Review at a glance Both tools show up on the pull request before merge. Both use agents. The similarity ends there. Claude Code Review is a **static analyzer** - an agent that reads your diff in the context of the codebase and leaves high-signal inline comments. Ito is a **runtime analyzer** - it spins up your application, exercises the change the way a user would, and reports what actually broke. ## The core difference: reading code vs. running it The most consequential difference is *what each tool looks at*. Claude Code Review dispatches specialized agents against your pull request. They analyze the diff in the context of your full codebase, hunt for logic errors, security vulnerabilities, broken edge cases, and subtle regressions, then verify candidates to cut false positives. Findings land as inline comments on the exact lines, with severity ranking and a summary overview. It does **not** approve PRs; that is still a human call. Average review time is around 20 minutes. Ito is built around a different question: *does this change still work when a user tries it?* When a PR opens, the agent boots the application, explores the affected flows in a real sandbox/browser, and posts a report back on the PR, along with evidence like video and logs, before anyone hits merge. Bugs are caught at the moment they are cheapest to fix. ## How each reviews a PR ### Claude Code Review on a PR Once enabled for a repo, Claude Code Review typically runs when a PR opens (admins can also trigger on every push or only on demand via @claude review). Multiple agents analyze the change in parallel on Anthropic infrastructure. Results are deduplicated, ranked by severity, and posted as inline comments on the specific lines where issues were found, with a summary in the review body. Teams can steer review focus with **CLAUDE.md** or **REVIEW.md** instructions — useful for enforcing internal conventions. What you get is a deeper, slower pass than a lightweight bot comment: Anthropic positions it for depth over speed, and bills on token usage (often averaging $15–25 per PR depending on size). ### Ito on a PR Ito is GitHub-native. After a one-click install on the repo, the agent picks up pull requests automatically. It **exercises the change** against a running build, exploring flows and validating behavior the way a careful QA engineer would. The output is a full runtime analysis report on the PR: what was tested, what failed, and evidence (video + screenshots) so the author can reproduce the issue without guessing. There is no separate suite to author first - the agent generates and adapts behavioral coverage as the product changes. ## What each one catches (and misses) Claude Code Review is strong at the things a sharp senior engineer notices while reading: incorrect conditionals, insecure patterns, misuse of APIs, regressions that are visible in the diff if you know the surrounding code. It will not tell you that the checkout button now fails for logged-out users because a CSS z-index change buried it, or that an API contract still type-checks while the staging UI returns empty states. Ito is strong at the opposite class of failure: flows that break only when the app runs. Auth redirects, form validation edge cases, broken navigation after a refactor, integrations that return unexpected data. It will not replace a deep read of a security-sensitive diff - that is still a job for humans and code-review agents. ## Setup and developer workflow Claude Code Review lives inside the Claude Code / Anthropic surface: an admin enables it for Team or Enterprise, installs the GitHub App, and selects repositories. Developers then get automatic reviews (or on-demand via comments). Customization is file-based, where project instructions steer what agents look for. Ito is also GitHub-native and lives where developers already work. Setup is a repo install; from there the agent picks up PRs and reports inline. There is no separate place to babysit, the QA report shows up next to the diff and the review comments. For an engineering team that lives in pull requests, the ideal stack often looks like: Claude (or another code-review agent) for *reading* the change, and Ito for *running* it. ## Pricing and cost of ownership Ito publishes its pricing: a per-seat Pro plan at $40/seat/month, with a custom Team tier. That transparency makes it easy to model cost as your team grows. Claude Code Review is billed on token usage and generally averages $15–25 per pull request, scaling with PR size and complexity. It is available as a research preview on Claude Team and Enterprise plans. When you compare them, weigh more than sticker price. Claude Code Review cost scales with how much code you push and how deep you want reviews. Ito cost of ownership is designed around removing the ongoing human burden of building and maintaining a behavioral test suite, often the larger line item over a year than licensing. ## Which one should you choose? These tools optimize for different jobs. Here is the honest split. Many teams do not treat it as either/or. A common pattern is Claude Code Review (or another AI reviewer) for code-level findings, with Ito as the autonomous pre-merge QA gate that proves the change behaves correctly in a real browser — then consolidating tools as coverage compounds. ### Sources 1. [Ito — Pricing](https://www.ito.ai/pricing) (per-seat Pro tier, 2026) 2. [Anthropic — Code Review for Claude Code](https://claude.com/blog/code-review) (product announcement) 3. [Claude Code docs — Code Review](https://code.claude.com/docs/en/code-review) (setup, triggers, behavior — verify before publish)