AI Tool

Ito Review

Ito is an AI code review tool that builds applications on every pull request, runs impacted flows, and attaches failing tests to anything that breaks.

shipped Aug 13, 2026agentsfreemium

Domain rating28Monthly visits1.5K/mo

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Why it matters

1Ito automates testing to enhance software quality and accelerate development cycles.

2It supports models including OpenAI GPT-5.6 Luna, Anthropic Claude Haiku 4.5, and Google Gemini 3 Pro Image Preview.

3Ito provides visual bug reports with video, logs, and reproduction steps directly in GitHub PRs.

4The platform has received an overall rating of 4.7/5 based on 18 reviews on SoftwareSuggest.

About Ito

Target Audience

Engineering teams, QA teams

Pricing Plans

Basic

Free

• No credit card required

Specs

API Docs

View Documentation →

API Available

Yes, public API

overview

What is Ito?

Ito is an AI code review and test automation tool developed by Ito that enables software development teams to automate code verification and detect bugs earlier in the development cycle. It builds applications on every pull request, runs impacted flows, and attaches failing tests to anything that breaks, thereby enhancing quality and speeding up development cycles. Ito utilizes an agentic infrastructure to perform behavioral code review and runtime analysis, differentiating itself from static analysis tools by executing code in isolated environments. The platform supports multimodality, processing text, audio, and video data, and integrates various advanced AI models including OpenAI GPT-5.6 Luna and Anthropic Claude Haiku 4.5. Its primary goal is to replace manual regression testing and reduce the 'code review tax' on engineering teams.

features

Key Features of Ito

Ito provides a comprehensive suite of features designed to automate and enhance the software development lifecycle, focusing on code review and intelligent test automation. Its core capabilities include building applications on every pull request and running impacted flows to identify issues proactively. The platform's agentic infrastructure allows for autonomous code review and runtime analysis, providing detailed visual bug reports.

AI code review tool that builds the application on every pull request (PR).
Runs impacted flows and attaches failing tests to anything that breaks.
Automates testing to enhance quality and speed up development cycles.
Self-Healing Codebase capability for adapting to code changes.
Product Demo Videos providing visual explanations of functionality.
Automatic Smoke Testing for quick validation of core functionalities.
Containerized Test Execution for isolated and consistent testing environments.
Agent Sandboxes for secure and controlled execution of AI agents.
Proprietary function calling and support for models like OpenAI GPT-5.6 Luna and Anthropic Claude Haiku 4.5.
Multimodality support for text, audio, and video data.

use cases

Who Should Use Ito?

Ito is primarily designed for software development teams, particularly engineering and QA teams, seeking to streamline their code review processes and automate testing. It is beneficial for organizations aiming to reduce manual testing efforts, accelerate development cycles, and improve software quality by catching bugs earlier.

Engineering teams requiring automated code review and intelligent test automation.
QA teams looking to replace manual regression testing with autonomous validation.
Development teams aiming to detect runtime bugs and broken UI logic before code merges.
Organizations focused on accelerating software development by automating repetitive verification tasks.
Browser users managing many tabs, leveraging Ito's intent-based tab orchestration for organizing browsing activities into dynamic collections (Flows).

how to use

How to Use Ito

To begin using Ito, users typically integrate the platform with their version control system, such as GitHub. Once integrated, Ito automatically monitors pull requests and initiates its code review and testing processes.

1Visit the official Ito website at https://www.ito.ai/.
2Sign up for an account, utilizing the 'Basic: Free' tier or a paid plan.
3Integrate Ito with your existing version control system (e.g., GitHub).
4Submit a pull request (PR) in your repository.
5Ito will automatically build the app, run impacted flows, and provide feedback with failing tests, videos, and logs directly in the PR.
6Review the automated feedback and address any identified issues.

pricing

Ito Pricing & Plans

Ito operates on a freemium model, offering a free tier for basic functionalities and paid plans for more extensive features. While some sources indicate a 'Paid Plan: Team $49/mo' or '$150/seat/month', the official website lists a 'Pricing' section, suggesting detailed plans are available upon inquiry or navigation. The 'Basic: Free' tier is active for fundamental test automation.

Basic: Free (includes basic test automation)
Team: $49/month (as reported by some sources)
Enterprise: Custom pricing (likely available upon inquiry)

Pros

+Automates behavioral code review and runtime analysis, catching bugs static tools miss.
+Provides visual bug reports with video, logs, and reproduction steps directly in GitHub PRs.
+Replaces manual regression testing, saving significant engineering time.
+Self-Healing Codebase adapts to code changes, reducing test maintenance overhead.
+Supports a wide range of advanced AI models, including OpenAI GPT-5.6 Luna and Anthropic Claude Haiku 4.5.
+Offers a free tier for basic test automation, making it accessible for initial evaluation.

Cons

−Pricing information is inconsistent across sources, requiring direct inquiry for clarity.
−API availability is currently listed as 'No', which may limit custom integrations.
−The platform's focus on code review and test automation might not cover all aspects of the broader software development lifecycle.
−Requires integration with existing version control systems, adding an initial setup step.

Policies

Pricing Page

View Pricing→

Similar Tools

Ito vs Competitors

Ito distinguishes itself in the AI code review and test automation landscape by focusing on dynamic, runtime analysis rather than solely static code analysis. It aims to replace manual regression testing and provide comprehensive visual evidence of bugs.

QA Wolf↗

Automates end-to-end tests on pull requests by deploying code to ephemeral preview environments and uses AI to adapt tests to UI changes.

QA Wolf is very similar to Ito in its approach of running actual tests in ephemeral environments for each pull request to catch runtime issues. The main trade-off might be its primary focus on end-to-end tests, whereas Ito emphasizes running 'impacted flows' and attaching failing tests more broadly.

CodeRabbitOn Stork

Provides LLM-powered AI code reviews, posting inline comments and PR summaries directly on every pull request.

CodeRabbit excels at providing quick, AI-driven feedback and summaries on code changes, similar to Ito's AI review capabilities. However, it primarily focuses on static analysis and AI comments on the code itself, rather than dynamically building and running the application in ephemeral environments to find runtime bugs as Ito does.

PR-Agent↗

An open-source AI agent that generates code reviews, suggestions, and tests directly within your pull requests.

PR-Agent offers a free and open-source solution for AI-driven code review and test generation, aligning with Ito's AI capabilities. The trade-off is that, as a community-driven open-source tool, it may require more setup and might not offer the same level of integrated dynamic testing in ephemeral environments as Ito.

Open Code Review↗

A CLI tool that leverages LLMs to generate structured code reviews from Git diffs, proven at Alibaba's scale.

Open Code Review provides a robust, open-source AI code review solution focused on analyzing code diffs with LLMs. While it offers powerful AI insights into code quality, it is a CLI tool and does not include the dynamic application building and runtime testing in ephemeral environments that Ito provides.

SonarQube Community EditionOn Stork

Performs static code analysis to detect bugs, vulnerabilities, and code smells, integrating with CI/CD pipelines to enforce quality gates on pull requests.

SonarQube is a foundational tool for automated code quality and can act as a quality gate in PRs, similar to a part of Ito's function. However, it primarily focuses on static analysis and rule-based checks, whereas Ito extends this by dynamically running the application in ephemeral environments to uncover runtime issues.

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