# cubic vs Devin

cubic records 51,508 monthly visits with -10.5% month-over-month growth and Freemium, Contact for Pricing pricing. Devin records 2,549,346 monthly visits with +1% growth and Paid pricing.

| Metric | [cubic](https://openaitools.app/tool/cubic) | [Devin](https://openaitools.app/tool/devin) |
| :--- | :--- | :--- |
| Website URL | https://www.cubic.dev | https://devin.ai |
| Categories | AI Developer Tools | AI Code Assistant, AI Agent, AI Developer Tools |
| Pricing Model | Freemium, Contact for Pricing | Paid |
| Monthly Visits | 51,508 | 2,549,346 |
| MoM Growth Rate | -10.5% | +1% |
| Primary Market | United States | United States |
| Direct Visits | 28,451 | 1,386,401 |
| Review Score | 4.2 | 4.3 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | website |

## cubic

cubic targets the review bottleneck. Most AI coding assistants help you write code faster, which then piles more changes onto a review process that is already the slowest part of shipping. cubic reviews the pull request instead: every change is checked not just against the diff but against the rest of the codebase, so it can flag a change that breaks something in another file or another repository. It also learns from your team by turning senior engineers' past review comments into rules that then run automatically on every PR, and lets you write standards in plain English, for example requiring design tokens, forbidding raw environment variables in frontend code, or insisting that migrations use a specific lock timeout.

The workflow is built around keeping merge queues moving. cubic assigns each PR a merge confidence score from one to five, auto-approves genuinely low-risk changes like dependency bumps, documentation, or copy edits, and routes anything risky to a human. It works where developers already are: reviews appear in GitHub with two-way sync, and you can open the same PR in cubic by swapping github.com for cubic.dev in the URL. A desktop app for macOS, Windows, and Linux presents changes in reading order rather than alphabetically, groups related changes, shows a diagram of what changed, and lets you ask questions about the PR. The same review also runs in the terminal before you push, and comments can be picked up by coding agents such as Claude Code, Codex, and Cursor, which push fixes back.

For issues that never appear in a pull request, cubic runs thousands of background AI agents that scan the codebase on a schedule, triage findings, notify owners, and create tickets, with one-click fixes that resolve the ticket once merged. The product advertises top placement on independent code review benchmarks and is used by teams including n8n, Cal.com, Better Auth, and Browser Use. On privacy, cubic states that code is reviewed in real time and never stored or used to train AI, and it is SOC 2 compliant, which matters for teams that cannot send proprietary code to an arbitrary service.

**Pricing & Plans:** Starts free: the Starter tier includes 20 PR reviews per month. Paid per-developer plans are billed yearly with a discount, listed as Team Core at $30 per developer per month with 40,000 reviewed lines, Pro at $79 per developer per month with 80,000 reviewed lines and every feature, and Max at $160 per developer per month with 160,000 reviewed lines. Enterprise adds SSO/SAML, audit logs, and custom terms. cubic is free for open source teams, and extra lines can be purchased as flex capacity at $20 per 10,000 lines.

- **Codebase-aware PR review:** Every pull request is checked against your entire codebase and repo rules, so changes that break code elsewhere, even in another repository, get flagged.
- **Rules learned from your engineers:** Past review comments from senior engineers become automated rules, and you can also express standards in plain English for cubic to enforce on every PR.
- **Merge confidence and auto-approve:** Each PR gets a 1 to 5 safety score, low-risk changes are approved automatically, and risky ones are routed to a human reviewer.
- **Scheduled codebase scans:** Thousands of background agents scan for serious bugs and vulnerabilities on a schedule, triage findings, notify owners, and open tickets with one-click fixes.
- **Reviews in GitHub, terminal, and desktop:** Two-way GitHub sync, the same checks available from the CLI before you push, and a desktop app with reading-order diffs and PR Q&A.

**Strengths:** Reviews against the whole codebase rather than the diff alone; Published per-developer pricing with a free tier and open source support; Works inside GitHub, the terminal, and its own desktop app; Explicit privacy stance: code is not stored and not used for training

**Limitations:** Reviewed-line allowances are metered and reviews pause if you exceed them without flex capacity; Highest-value features such as codebase scans sit in the Pro tier and above; Value is greatest for teams with large, complex repositories on GitHub

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

## 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)

## Frequently Asked Questions

### How do cubic and Devin compare in monthly traffic?

cubic has 51,508 monthly visits, while Devin has 2,549,346. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

cubic has a month-over-month growth rate of -10.5%; Devin has +1%.

### How does pricing compare?

cubic: Freemium, Contact for Pricing. Starts free: the Starter tier includes 20 PR reviews per month. Paid per-developer plans are billed yearly with a discount, listed as Team Core at $30 per developer per month with 40,000 reviewed lines, Pro at $79 per developer per month with 80,000 reviewed lines and every feature, and Max at $160 per developer per month with 160,000 reviewed lines. Enterprise adds SSO/SAML, audit logs, and custom terms. cubic is free for open source teams, and extra lines can be purchased as flex capacity at $20 per 10,000 lines. 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.

## 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 | [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) |
| 7 | [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) |
| 8 | [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) |
| 9 | [Aikido Security](https://openaitools.app/tool/aikido-security) | 757,491 | +9.6% | Freemium | All-in-one AppSec platform that finds and auto-fixes vulnerabilities | [.md](https://openaitools.app/tool/aikido-security.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/cubic-vs-devin

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