# Devin vs Squire AI

Devin records 2,549,346 monthly visits with +1% month-over-month growth and Paid pricing. Squire AI records 687 monthly visits with -58.6% growth and Paid, Contact for Pricing pricing.

| Metric | [Devin](https://openaitools.app/tool/devin) | [Squire AI](https://openaitools.app/tool/squire-ai) |
| :--- | :--- | :--- |
| Website URL | https://devin.ai | https://www.squire.ai |
| Categories | AI Code Assistant, AI Agent, AI Developer Tools | AI Code Review, AI Agent, AI Code Assistant, AI Copilot |
| Pricing Model | Paid | Paid, Contact for Pricing |
| Monthly Visits | 2,549,346 | 687 |
| MoM Growth Rate | +1% | -58.6% |
| Primary Market | United States | India |
| Direct Visits | 1,386,401 | 267 |
| Review Score | 4.3 | 4.1 |
| Saved Count | 0 | 0 |
| Supported Platforms | website | Website |

## Devin

Devin sits at the agentic end of the AI coding spectrum. Instead of suggesting the next line, it takes a ticket-level goal - "add SAML SSO for enterprise customers" or "investigate this API latency spike" - explores the codebase across repositories, implements changes, runs tests, and explains the resulting pull request in plain language. It maintains a wiki-style map of the codebase so it can navigate unfamiliar services and keep documentation current as the code changes.

A defining feature is that Devin works on its own machine. It provisions Windows, Mac, and Linux virtual machines as needed, builds the project, exercises it in a browser, and can record itself clicking through the feature it just built. Long-running work continues in the cloud when your laptop is closed, and large tasks can be split across parallel agents that Devin coordinates and reports on.

For teams, Devin extends beyond one-off prompts. You can tag @Devin in Slack or Teams so it reads a thread and replies with a PR, set up automations that fix failing tests or patch vulnerable dependencies as they appear, and run security reviews. Pricing is seat-based and enterprise-oriented, with an Ultra tier for heavier autonomous usage, and Cognition has marketed large security-credit programs for enterprises.

**Pricing & Plans:** Paid, enterprise-oriented. Devin is sold on a per-seat subscription with tiered plans (including higher-capacity tiers for heavier autonomous use) plus usage allowances; Cognition also runs credit programs and enterprise agreements. Because plans and credit packages change, check Cognition's official pricing page for current numbers.

- **End-to-end autonomous coding:** Devin plans, writes code, runs tests, and opens pull requests across complex, multi-repository codebases without waiting for line-by-line approval.
- **Its own virtual machines:** Devin provisions Windows, Mac, and Linux VMs, builds and runs the project, and tests in a real browser - even recording itself using the feature it built.
- **Slack, Teams, and alert integration:** Mention @Devin in a thread to delegate a fix, or connect CI, PagerDuty, and issue trackers so it reacts to failures and alerts automatically.
- **Parallel cloud agents:** Delegate a large task and Devin splits it across parallel cloud agents that keep working after you close your laptop, then reports back.
- **Codebase wiki and automations:** Devin maintains a living map of the architecture and supports recurring automations such as dependency upgrades, test fixes, and security scans.

**Strengths:** Handles ticket-level autonomous work rather than only suggesting code completions; Tests in its own browser and VMs, which catches issues that pure code generation misses; Deep workflow integration with Slack, Teams, CI, and alerting tools; Keeps working in parallel cloud agents even when your machine is off

**Limitations:** Premium, seat-based pricing puts it out of reach for casual individual use; Complex or poorly specified tasks still need human review before merging; Maximum value depends on having a well-structured repo and clean test setup

[Profile (Markdown)](https://openaitools.app/tool/devin.md)

## Squire AI

Squire AI is a code review agent aimed at engineering teams that have outgrown manual, inconsistent pull request workflows. Once connected to GitHub, it inspects each pull request, generates a structured description of what changed and why, and posts its own review comments covering quality, security and consistency concerns. The stated goal is to give every pull request the same baseline level of scrutiny regardless of who is on rotation that day.

The differentiating idea is that Squire is positioned as an agent that learns. Rather than applying one fixed ruleset, it is described as adapting to how a particular team likes to work, so the feedback it produces drifts toward the conventions, patterns and review standards that team already values. That makes it more of a reviewer teammate than a static linter.

Squire is operated by Codex Build Inc. Access is through GitHub sign-in at app.squire.ai, and the company publishes documentation, a security page and a public changelog blog. Pricing is not published publicly as tiered plans — the site directs prospective customers to contact sales and book time with the team, so commercial terms are handled as a quote. Reported outcomes posted by the vendor include roughly four hours saved per engineer per week, 21% faster time-to-merge and release cycles shortened by about two days.

**Pricing & Plans:** Paid, contact for pricing. Squire does not publish public tiered plans; the site routes prospects to a sales conversation and a booking link. Treat quoted figures as vendor-reported and confirm terms directly.

- **Automated PR descriptions:** Squire inspects a pull request's diff and writes a human-readable description of what changed, giving reviewers context before they open a single file.
- **Agentic code review:** It posts its own review comments on each pull request, flagging quality, security and consistency issues rather than only reporting style violations.
- **Team-adaptive conventions:** Squire is presented as learning how a specific team works, so the guidance it leaves converges on that team's own standards instead of a generic rulebook.
- **GitHub-native workflow:** Connection is via GitHub sign-in and reviews land directly in the pull request thread, so no separate dashboard has to be monitored.
- **Security and documentation posture:** The vendor maintains a dedicated security page, public documentation and a changelog blog, which matters for teams that need to vet tooling before rollout.

**Strengths:** Removes the tedious work of writing pull request descriptions by hand; Reviews land in GitHub where developers already work, with no extra dashboard; Positioned to adapt to a team's own conventions rather than a fixed generic ruleset; Vendor publishes documentation, a security page and a changelog, useful for procurement review

**Limitations:** Pricing is not published publicly, so budget approval requires a sales conversation; No free tier is advertised on the site, which makes self-serve trial difficult; Vendor-reported metrics such as hours saved and faster merges should be validated against your own repository before rollout

[Profile (Markdown)](https://openaitools.app/tool/squire-ai.md)

## Frequently Asked Questions

### How do Devin and Squire AI compare in monthly traffic?

Devin has 2,549,346 monthly visits, while Squire AI has 687. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Devin has a month-over-month growth rate of +1%; Squire AI has -58.6%.

### How does pricing compare?

Devin: Paid. Paid, enterprise-oriented. Devin is sold on a per-seat subscription with tiered plans (including higher-capacity tiers for heavier autonomous use) plus usage allowances; Cognition also runs credit programs and enterprise agreements. Because plans and credit packages change, check Cognition's official pricing page for current numbers. Squire AI: Paid, Contact for Pricing. Paid, contact for pricing. Squire does not publish public tiered plans; the site routes prospects to a sales conversation and a booking link. Treat quoted figures as vendor-reported and confirm terms directly.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Cursor](https://openaitools.app/tool/cursor) | 23,297,751 | +8.4% | Freemium | An AI-native code editor providing advanced multi-file code generation and editing, though less fully autonomous end-to-end than Devin. | [.md](https://openaitools.app/tool/cursor.md) |
| 2 | [Manus](https://openaitools.app/tool/manus) | 19,195,779 | -1.7% | Free Trial | A general autonomous agent platform executing multi-step goals and browsers, suitable for broader web and coding workflows. | [.md](https://openaitools.app/tool/manus.md) |
| 3 | [Google Antigravity](https://openaitools.app/tool/google-antigravity) | 16,054,109 | +8.1% | Freemium | Google's agentic development platform running parallel AI coding agents across an IDE and CLI workspace. | [.md](https://openaitools.app/tool/google-antigravity.md) |
| 4 | [Replit](https://openaitools.app/tool/replit) | 10,016,437 | -7.7% | Freemium, Paid | A cloud development platform featuring an AI agent that builds, runs, and deploys full-stack apps automatically. | [.md](https://openaitools.app/tool/replit.md) |
| 5 | [Qoder](https://openaitools.app/tool/qoder) | 5,145,040 | +81.8% | Freemium, Free Trial, Free | An agentic coding platform and IDE plugin that reads entire codebases to execute complex multi-file tasks. | [.md](https://openaitools.app/tool/qoder.md) |
| 6 | [Cursor](https://openaitools.app/tool/cursor-sh) | 4,790,129 | +6.5% | Freemium | The AI coding agent that turns ideas into shipped software | [.md](https://openaitools.app/tool/cursor-sh.md) |
| 7 | [Kiro](https://openaitools.app/tool/kiro) | 3,330,476 | +4.6% | Freemium | An AWS spec-driven AI IDE and agent platform that plans, builds, reviews, and verifies software engineering work. | [.md](https://openaitools.app/tool/kiro.md) |
| 8 | [Command Code](https://openaitools.app/tool/command-code) | 2,358,177 | -12.1% | Freemium, Contact for Pricing | The coding agent that learns your coding taste | [.md](https://openaitools.app/tool/command-code.md) |
| 9 | [Orca](https://openaitools.app/tool/orca) | 1,025,891 | +1% | Free, Open Source, Enterprise on request | Run many coding agents in parallel, each in its own worktree | [.md](https://openaitools.app/tool/orca.md) |
| 10 | [Trae](https://openaitools.app/tool/trae) | 702,366 | -7.8% | Freemium | An AI-powered IDE and coding agent that indexes entire repositories to plan, build, and test software. | [.md](https://openaitools.app/tool/trae.md) |

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Source: https://openaitools.app/compare/devin-vs-squire-ai

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