# Augment Code vs cubic

Augment Code records 326,215 monthly visits with +24.1% month-over-month growth and Freemium, Free Trial, Contact for Pricing pricing. cubic records 51,508 monthly visits with -10.5% growth and Freemium, Contact for Pricing pricing.

| Metric | [Augment Code](https://openaitools.app/tool/augment-code) | [cubic](https://openaitools.app/tool/cubic) |
| :--- | :--- | :--- |
| Website URL | https://www.augmentcode.com | https://www.cubic.dev |
| Categories | AI Agent, AI Code Assistant, AI Code Generator, AI Developer Tools | AI Developer Tools |
| Pricing Model | Freemium, Free Trial, Contact for Pricing | Freemium, Contact for Pricing |
| Monthly Visits | 326,215 | 51,508 |
| MoM Growth Rate | +24.1% | -10.5% |
| Primary Market | United States | United States |
| Direct Visits | 137,070 | 28,451 |
| Review Score | 4.5 | 4.2 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## Augment Code

Augment Code is an AI coding platform aimed at engineering organisations rather than individual autocomplete users. Its foundation is the Context Engine, which builds a structured understanding of an existing repository — dependencies, architecture, conventions — so that AI suggestions and generated changes fit the codebase instead of reading like generic boilerplate. The product works inside common IDEs and also in the terminal via a CLI.

The platform's recent focus is Cosmos, an agent orchestration layer for the software development lifecycle. Instead of a single assistant answering prompts, Cosmos runs connected loops: a ticket becomes a reviewed pull request, every new PR gets a first-pass code review, failed CI runs get diagnosed, Dependabot and Snyk alerts get triaged into prioritised issues, and on-call engineers inherit a completed investigation. Each loop hands its outcome to the next, and quality gates pause work for human review rather than shipping automatically.

Agents can be deployed in managed cloud sandboxes, on your own machines for code that cannot leave the building, or a mix of both. Native triggers cover GitHub, GitLab, Slack, Linear, Jira, schedules and typed webhooks, with integrations for CI systems. There is a free tier for individuals to try the assistant, while team and enterprise adoption is quote-based; the company has announced it is joining Harness to push the autonomous SDLC from idea to production.

**Pricing & Plans:** Freemium with a free tier for individual developers to start, plus paid team plans and enterprise/contact-for-pricing options. Enterprise deployment includes self-hosted and hybrid agent execution; exact seat and usage pricing is quoted by sales.

- **Context Engine codebase understanding:** Indexes architecture, dependencies and conventions across large repositories so generated code and reviews match how your team actually writes software.
- **Cosmos agent orchestration:** Runs connected SDLC loops — code review, ticket-to-PR, incident triage, dependency upgrades and security remediation — where each agent hands its result to the next.
- **Human-in-the-loop quality gates:** Work pauses at defined checkpoints so engineers approve plans and consequential actions instead of letting agents ship unreviewed changes.
- **Deploy anywhere:** Execute agents in managed cloud sandboxes, on local machines and dev VMs for sensitive code, or in your own AWS and GCP environments.
- **Expert registry and shared memory:** Choose from shipped agents, fork them, or build your own; corrections and shared knowledge improve future runs for the whole team.

**Strengths:** Deep codebase context means suggestions fit existing architecture and conventions; Loops connect across the SDLC instead of solving one isolated task; Quality gates keep humans in control of consequential changes; Flexible deployment including local and self-hosted execution for sensitive code

**Limitations:** Enterprise pricing is quote-based, which makes budgeting harder before a trial; The full value depends on wiring up integrations and triggers across your toolchain; Small teams and solo developers may find the orchestration layer heavier than needed

[Profile (Markdown)](https://openaitools.app/tool/augment-code.md)

## 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)

## Frequently Asked Questions

### How do Augment Code and cubic compare in monthly traffic?

Augment Code has 326,215 monthly visits, while cubic has 51,508. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Augment Code has a month-over-month growth rate of +24.1%; cubic has -10.5%.

### How does pricing compare?

Augment Code: Freemium, Free Trial, Contact for Pricing. Freemium with a free tier for individual developers to start, plus paid team plans and enterprise/contact-for-pricing options. Enterprise deployment includes self-hosted and hybrid agent execution; exact seat and usage pricing is quoted by sales. 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.

## 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 | The AI coding agent for building ambitious software | [.md](https://openaitools.app/tool/cursor.md) |
| 2 | [Google Antigravity](https://openaitools.app/tool/google-antigravity) | 16,054,109 | +8.1% | Freemium | Google's agent-first development platform for building and shipping software with AI agents | [.md](https://openaitools.app/tool/google-antigravity.md) |
| 3 | [Replit](https://openaitools.app/tool/replit) | 10,016,437 | -7.7% | Freemium, Paid | Streamlines cloud-based full-stack app building and deployment from natural language, but less tailored for large legacy enterprise repos. | [.md](https://openaitools.app/tool/replit.md) |
| 4 | [Cursor](https://openaitools.app/tool/cursor-sh) | 4,790,129 | +6.5% | Freemium | Integrates directly into VS Code as a daily coding editor, but lacks enterprise-wide multi-agent SDLC orchestration. | [.md](https://openaitools.app/tool/cursor-sh.md) |
| 5 | [Kiro](https://openaitools.app/tool/kiro) | 3,330,476 | +4.6% | Freemium | Focuses on spec-driven engineering and automated verification from AWS, whereas Augment targets broader multi-agent SDLC automation. | [.md](https://openaitools.app/tool/kiro.md) |
| 6 | [Devin](https://openaitools.app/tool/devin) | 2,549,346 | +1% | Paid | Cognition's autonomous software engineer that ships real pull requests | [.md](https://openaitools.app/tool/devin.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 | Provides an open-source agent development environment running parallel CLI coding agents, but requires manual configuration and setup. | [.md](https://openaitools.app/tool/orca.md) |
| 9 | [KaneAI](https://openaitools.app/tool/kaneai) | 901,340 | +13.2% | Freemium, Paid, Contact for Pricing | GenAI-native end-to-end QA agent that plans, writes and heals tests in plain language | [.md](https://openaitools.app/tool/kaneai.md) |
| 10 | [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) |

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Source: https://openaitools.app/compare/augment-code-vs-cubic

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