SiteList review score
Strong design and clear product positioning make Squire easy to understand. Pricing needs practical guidance, and product claims need visible supporting evidence.
Reviewed on Sep 29, 2026
squire.ai
Unclaimed listingWhat it does
Squire is an agentic code review and quality platform that writes pull request descriptions, reviews code, and learns how to serve a team.
SiteList review score
Strong design and clear product positioning make Squire easy to understand. Pricing needs practical guidance, and product claims need visible supporting evidence.
Reviewed on Sep 29, 2026
Verified user rating
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No verified reviews yet — the evidence locker is empty.
Captured during our latest review on Sep 29, 2026
Based on GitHub users; prices shown per user per month. Billed monthly.
| Plan | Price | Details |
|---|---|---|
| Teams | $20 monthly per user | All inclusive plan View source |
| Enterprise | $50 monthly per user | All inclusive plan View source |
AI code reviews
Code Review
Reviews pull requests line by line in under a minute with codebase context.
Pull Request Summaries
Documentation
Writes abstracts and detailed changes for pull requests.
Enforce rules and coding standards
Quality and Standards
Allows teams to define coding rules in natural language for automated review.
Chat with Squire
Developer Workflow
Lets users comment on reviews, ask questions, and get help from an AI colleague.
Squire is aimed at software engineering teams seeking automated code reviews.
The reviewed pricing presents Teams at $20 per user per month and Enterprise at $50 per user per month.
Squire scores strongly for design execution at 94/100, usability at 85/100, technical SEO at 88/100, and risk and stability at 82/100.
The clearest priorities are accessibility, decision support on pricing, public content hygiene, performance, and evidence for prominent product claims.
Answers are based on SiteList's latest evidence review. Read the full review.
Squire scores 67/100, with strong design, usability, risk controls, and technical SEO for software engineering teams seeking automated code reviews. Accessibility, writing quality, decision support, performance, and unsupported claims are the most material weaknesses to fix.
67/100: capable product, several fixable weaknesses
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