Squire AI - The new way to review code

Squire AI is an agentic code review and quality platform that reviews code in under a minute, writes pull request descriptions, enforces coding rules and best practices, and provides seamless collaboration with AI-assisted insights. It aims to free developers to focus on impact by automating routine review tasks and ensuring code quality, security, and consistency across teams.

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Key Outcomes

• Teams save time per engineer on code review (examples cite ~4 hours per engineer per week).
• Faster time-to-merge by about 21%.
• Shorter release cycles (roughly 2 days).
• Consistent, high-quality, secure code across the codebase.

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How It Works

1. AI code reviews in under a minute. Squire analyzes changes and provides actionable feedback rapidly to accelerate iteration.
2. Docs and PR descriptions. Squire generates perfect abstracts and detailed changes to keep code well-documented and the team aligned.
3. Enforce rules. Across the codebase, Squire applies coding rules and best practices with zero friction for developers.
4. Chat with your squire. Ask questions, comment on reviews, and get help from your AI colleague without context switching.
5. Production-ready quality. The platform strives to deliver high-quality code to production faster by combining review, documentation, and rule enforcement in one flow.

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Getting Started

• Get started with GitHub integration to begin reviewing code and enforcing rules across your repositories.
• Join the mailing list for changelog updates and product improvements.

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Core Features

• Agentic code review that writes PR descriptions and highlights changes
• AI-powered, rapid code reviews (under a minute) to accelerate iteration
• Enforce coding rules and best practices across the codebase with zero friction
• Documentation assistance: automatic PR summaries and detailed change logs
• In-context chat with your Squire AI for questions and guidance
• Seamless GitHub integration for streamlined workflows
• Production-ready code quality with consistent standards at scale

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Safety and Compliance Considerations

• Ensure generated PR descriptions and changes align with your organization’s policies.
• Validate that sensitive information is not exposed in AI-generated content.
• Review AI outputs for critical security implications before merging.

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Tags

• AI code review
• PR description generation
• Code quality and security
• GitHub integration
• Team collaboration
• Policy enforcement