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Squire AI

AI code reviews, pull request summaries, and team-rule enforcement for GitHub development workflows.

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Last Updated 7/31/2026

About Squire AI

Squire AI is an AI code-review service for GitHub-based development teams. It reviews code in under a minute, writes pull request summaries, applies team coding rules and best practices across a codebase, and lets developers ask follow-up questions in pull request comments without switching context. The product is designed to make reviews faster and more consistent while keeping developers focused on higher-impact work. Teams can configure standards once and use Squire AI to check subsequent changes against those expectations. The commercial offer is an all-inclusive Enterprise subscription priced by GitHub user, so adoption costs grow with the number of developers covered. It is most relevant to teams that want automated first-pass review, standardized review criteria, and clearer pull request documentation. Buyers should weigh the promised speed and workflow fit against the per-user cost, the GitHub-centered setup, and the need to decide how automated feedback fits existing human approval practices.

Best for

GitHub-based engineering teams that want automated first-pass reviews
Teams that need coding rules applied consistently across a codebase
Organizations that want pull request summaries and in-comment follow-up

Best use cases

Reviewing code in under a minute during an active pull request

Generating abstracts and detailed summaries for pull request documentation

Checking changes against configured team rules and best practices

Compare before choosing

Per-user pricing makes team size a direct part of the cost decision

GitHub-centered workflow fit matters when comparing review automation tools

Rule enforcement, summaries, and comment-based questions combine several review tasks

Features

Automated code review

Review code in under a minute so developers can respond to feedback earlier in the pull request cycle.

Pull request summaries

Create abstracts and detailed change summaries that keep pull request documentation current for the team.

Team rule enforcement

Apply configured coding rules and best practices consistently across changes in the codebase.

Review follow-up chat

Ask questions and discuss review feedback in comments without leaving the existing development workflow.

Pros

  • Reviews code in under a minute, which can shorten the wait for initial feedback
  • Configured coding rules can be applied consistently across the codebase
  • Pull request summaries and comment-based questions keep review work in context

Cons

  • The $50 per GitHub user monthly price scales directly with engineering headcount
  • The workflow is centered on GitHub, so teams using other hosting platforms must assess compatibility
  • Teams still need to define how automated findings interact with human review and approval

Pricing Plans

Enterprise

$50per GitHub user per month
  • All-inclusive plan

* Pricing information is for reference only. Please refer to the latest announcement on Squire AI's official website.

FAQ

It reviews code in under a minute, can produce pull request summaries, applies configured team rules, and supports follow-up questions in review comments.
The Enterprise all-inclusive plan is listed at $50 per GitHub user per month. Organizations with more than 100 users are directed to book a call.
It suits GitHub-based engineering teams that want faster first-pass reviews, consistent coding-rule enforcement, and clearer pull request documentation.

Tool Information

DeveloperSquire AI
Release Date4/5/2026
Pricingsubscription