RoshiRoshi streamlines code reviews and security by leveraging AI to flag issues in PRs, helping teams maintain higher code quality and a stronger security posture.

Roshi is an AI-powered tool that automates code quality and security checks directly within your pull request workflow, identifying potential issues and vulnerabilities before they merge to improve code hygiene and security.

Roshi automates code quality and security checks by integrating directly into your pull request workflow. It uses AI to identify potential issues and vulnerabilities before they merge. Improves code hygiene and enhances security posture.

Not yet. This listing is compiled from Roshi’s public documentation, pricing pages and changelogs — nothing on this page is presented as a hands-on test result.Roshi sits in our testing queue; when we run it, this section will state what we tested, how long for, and what it actually produced. How we review AI tools.

• Automated Code Review: Roshi automatically reviews code changes in pull requests, flagging potential bugs, style violations, and security risks before they are merged.
• Early Vulnerability Detection: Identify and fix security vulnerabilities early in the development cycle, reducing the risk of introducing exploitable code into production.
• Code Hygiene Improvement: Enforce consistent coding standards and best practices across the team, leading to more maintainable and readable codebases.
• Developer Productivity: Reduce the manual effort required for code reviews by having AI assist in identifying common issues, allowing developers to focus on complex logic.

• AI-driven code analysis
• Pull request automation
• Security vulnerability identification
• Code quality metrics
• Customizable rulesets
• Integration with Git platforms
• Automated issue flagging

Prices as of July 25, 2026, taken from Roshi’s public pricing page. Vendors change pricing without notice — check before you buy.

• Requires developer time for integration and configuration
• Effectiveness depends on the quality of AI models and training data

• SonarQube
• CodeQL
• Snyk

1. Visit the Roshi website (roshi.io) to learn more about its features and pricing.
2. Contact their sales team to discuss integration options and obtain a quote.
3. Follow their setup guide to connect Roshi to your Git repository and CI/CD pipeline.

Use a SynaBot assistant to produce the thinking, then move the output into Roshi for execution. Every SynaBot assistant is included with the platform membership.

• Content Creator (ZARA) — drafts the copy, captions and campaign angles you'll run through Roshi.
• Business Planner (VIKRAM) — decides whether Roshi belongs in your stack and what it should replace.
• Project Manager (PACE) — turns the rollout of Roshi into owned, dated tasks.

Browse the full AI assistant roster, grab a starting point from the prompt library, or have us wire it together with our AI consultancy service.