# Augment Code vs Autify

Augment Code records 326,215 monthly visits with +24.1% month-over-month growth and Freemium, Free Trial, Contact for Pricing pricing. Autify records 60,130 monthly visits with +6% growth and Contact for Pricing pricing.

| Metric | [Augment Code](https://openaitools.app/tool/augment-code) | [Autify](https://openaitools.app/tool/autify-com) |
| :--- | :--- | :--- |
| Website URL | https://www.augmentcode.com | https://autify.com |
| Categories | AI Agent, AI Code Assistant, AI Code Generator, AI Developer Tools | AI Testing, AI Code Generator, AI Agent, No-Code&Low-Code |
| Pricing Model | Freemium, Free Trial, Contact for Pricing | Contact for Pricing |
| Monthly Visits | 326,215 | 60,130 |
| MoM Growth Rate | +24.1% | +6% |
| Primary Market | United States | Japan |
| Direct Visits | 137,070 | 21,141 |
| 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)

## Autify

Autify is an AI platform built to accelerate and simplify the entire software testing lifecycle. According to its site, the company offers a family of products that pair test automation with generative AI: Aximo, an autonomous AI testing agent that uses natural language and visual recognition to generate and run end-to-end tests across web, mobile, and desktop apps; Autify Genesis, a GenAI-driven test design tool that turns requirements and source code into structured test cases, features, and viewpoints; and no-code test automation for web and mobile, built on Playwright for flexible, scalable coverage.

The platform emphasizes self-healing and flexible locators so that tests keep working as applications evolve, and it positions humans and AI as partners in the testing process. Core use cases include end-to-end testing, automated regression testing, and converting manual testing into automated coverage, with support for difficult targets such as Salesforce and Canvas/WebGL applications, plus desktop and mobile app testing.

Autify publishes customer success stories that stress speed and scalability, including reported reductions in test authoring time and teams expanding test coverage as they adopt the platform. It is positioned for QA and engineering organizations that want to cut maintenance overhead and keep pace with frequent releases. Pricing is quote-based, so teams need to contact sales for details.

**Pricing & Plans:** Pricing is quote-based; Autify asks interested teams to contact sales for a tailored plan. No public per-seat or per-credit pricing is listed on the main site.

- **Aximo AI testing agent:** An autonomous agent that uses natural language and visual recognition to generate and execute end-to-end tests across web, mobile, and desktop apps.
- **Autify Genesis:** Generative-AI test design that moves from product requirements and source code to structured features, testing viewpoints, and detailed test cases.
- **No-code mobile and web automation:** Build and maintain automated tests without scripting, using flexible, self-healing locators that adapt as the application changes.
- **Broad application coverage:** Support for end-to-end, regression, smoke, functional, and visual testing, including tricky targets like Salesforce and Canvas/WebGL apps.
- **AI-human testing partnership:** A workflow designed to keep humans in control while AI speeds up test creation, execution, and maintenance.

**Strengths:** Covers the full testing lifecycle, from test design to execution and maintenance, in one platform; AI agent plus GenAI test design reduces manual scripting and authoring effort; Self-healing, flexible locators lower ongoing test maintenance costs; Handles challenging targets such as Salesforce and Canvas/WebGL applications

**Limitations:** Pricing is quote-only, so costs are not transparent without contacting sales; The product family (Aximo, Genesis, NoCode) is broad and may take time to adopt fully; Best value comes from committing to its ecosystem rather than mixing many separate tools

[Profile (Markdown)](https://openaitools.app/tool/autify-com.md)

## Frequently Asked Questions

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

Augment Code has 326,215 monthly visits, while Autify has 60,130. 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%; Autify has +6%.

### 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. Autify: Contact for Pricing. Pricing is quote-based; Autify asks interested teams to contact sales for a tailored plan. No public per-seat or per-credit pricing is listed on the main site.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [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) |
| 2 | [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) |
| 3 | [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) |
| 4 | [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) |
| 5 | [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) |
| 6 | [Command Code](https://openaitools.app/tool/command-code) | 2,358,177 | -12.1% | Freemium, Contact for Pricing | Delivers a terminal-first workflow optimized for open-weight models, but offers less graphical enterprise management tooling. | [.md](https://openaitools.app/tool/command-code.md) |
| 7 | [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) |
| 8 | [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) |
| 9 | [Trae](https://openaitools.app/tool/trae) | 702,366 | -7.8% | Freemium | Provides a fast AI-native IDE experience with deep project understanding, but lacks advanced enterprise context engines. | [.md](https://openaitools.app/tool/trae.md) |
| 10 | [Katalon](https://openaitools.app/tool/katalon-studio) | 158,090 | -29.6% | Freemium, Free Trial, Paid, Contact for Pricing | AI-augmented quality platform for web, mobile, API and desktop testing | [.md](https://openaitools.app/tool/katalon-studio.md) |

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

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