# Augment Code vs Code Rev.

Augment Code records 326,215 monthly visits with +24.1% month-over-month growth and Freemium, Free Trial, Contact for Pricing pricing. Code Rev. records 0 monthly visits with 0% growth and Free pricing.

| Metric | [Augment Code](https://openaitools.app/tool/augment-code) | [Code Rev.](https://openaitools.app/tool/code-rev) |
| :--- | :--- | :--- |
| Website URL | https://www.augmentcode.com | https://coderev.princesahni.com |
| Categories | AI Agent, AI Code Assistant, AI Code Generator, AI Developer Tools | AI Code Review, AI Code Assistant, AI Developer Tools |
| Pricing Model | Freemium, Free Trial, Contact for Pricing | Free |
| Monthly Visits | 326,215 | 0 |
| MoM Growth Rate | +24.1% | 0% |
| Primary Market | United States | Global |
| Direct Visits | 137,070 | 0 |
| Review Score | 4.5 | 3.8 |
| 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)

## Code Rev.

Code Rev. is a web-based code review workspace built around a simple loop: you submit a piece of code, you get it reviewed. What sets it apart from pure static analyzers is the two-track approach — an AI pass that scans for optimization opportunities, style issues, and likely bugs, plus a human pass where other developers in the community read the same snippet and add context, alternative designs, and practical advice.

The platform includes a code sharing space so snippets can be handed to a team or opened up to the wider community, and a code analytics layer that tracks quality signals, performance considerations, and potential vulnerabilities over time. Because submissions include a written description of intent and known challenges, reviewers — human and machine — can judge the code against what it is actually supposed to do rather than guessing.

Code Rev. is an independent third-party project published by an individual developer (princesahni.com) and is not an official product of any large vendor, IDE maker, or code hosting company. It is aimed at learners who want a second pair of eyes, small teams without a formal review process, and anyone preparing for interviews or technical assessments.

**Pricing & Plans:** Code Rev. is listed as a free tool on OpenAITools. Creating an account and submitting code for AI and peer review is presented as available without a paid plan. Verify current terms on the site before relying on it for team workflows.

- **AI code review:** Automated analysis of submitted snippets covering efficiency, readability, common bugs, and adherence to widely accepted best practices.
- **Peer review from developers:** Real people read your code and leave constructive comments, alternative approaches, and explanations that automated tools usually miss.
- **Code snippet sharing:** Share a snippet with your team or the public community so reviews can be collected from the people whose opinion matters most to you.
- **Code analytics:** Track quality, performance, and possible vulnerability signals across your submissions to see how your code evolves over time.
- **Description-driven context:** Attach intent, constraints, and specific questions to each submission so reviewers judge the code against the actual problem.

**Strengths:** Combines machine analysis with human feedback instead of offering only one or the other; Low-friction onboarding: sign up with email, paste code, describe intent, submit; Community angle makes it useful for learners who lack senior reviewers around them; Free to use based on the currently listed pricing model

**Limitations:** Quality of peer feedback depends on community participation and can be inconsistent; Not a CI/CD integration — it reviews snippets rather than running inside your pull-request pipeline; As an independent project, depth of long-term maintenance and enterprise controls is uncertain

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

## Frequently Asked Questions

### How do Augment Code and Code Rev. compare in monthly traffic?

Augment Code has 326,215 monthly visits, while Code Rev. has 0. 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%; Code Rev. has 0%.

### 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. Code Rev.: Free. Code Rev. is listed as a free tool on OpenAITools. Creating an account and submitting code for AI and peer review is presented as available without a paid plan. Verify current terms on the site before relying on it for team workflows.

## 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 | Offers powerful parallel agentic workflows and dedicated IDE tools, but with less focus on proprietary enterprise codebase context. | [.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 | A spec-driven AI IDE and agent platform that plans, builds, reviews, and verifies real engineering work. | [.md](https://openaitools.app/tool/kiro.md) |
| 6 | [Devin](https://openaitools.app/tool/devin) | 2,549,346 | +1% | Paid | Operates as a fully autonomous software engineer tackling complex tickets independently, whereas Augment focuses on developer-in-the-loop workflows. | [.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 | [CodeRabbit](https://openaitools.app/tool/coderabbit) | 1,048,880 | +4.6% | Freemium, Free Trial, Paid, Contact for Pricing | AI code review, PR triage, and security monitoring for fast-moving teams | [.md](https://openaitools.app/tool/coderabbit.md) |
| 9 | [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) |
| 10 | [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) |

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

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)