# AquilaX vs Augment Code

AquilaX records 18,188 monthly visits with -5.4% month-over-month growth and Freemium pricing. Augment Code records 326,215 monthly visits with +24.1% growth and Freemium, Free Trial, Contact for Pricing pricing.

| Metric | [AquilaX](https://openaitools.app/tool/aquilax) | [Augment Code](https://openaitools.app/tool/augment-code) |
| :--- | :--- | :--- |
| Website URL | https://aquilax.ai | https://www.augmentcode.com |
| Categories | AI Code Review, AI Developer Tools, AI Detector | AI Agent, AI Code Assistant, AI Code Generator, AI Developer Tools |
| Pricing Model | Freemium | Freemium, Free Trial, Contact for Pricing |
| Monthly Visits | 18,188 | 326,215 |
| MoM Growth Rate | -5.4% | +24.1% |
| Primary Market | United States | United States |
| Direct Visits | 7,410 | 137,070 |
| Review Score | 4.2 | 4.5 |
| Saved Count | 1 | 0 |
| Supported Platforms | Website | Website |

## AquilaX

AquilaX consolidates the security tooling most teams stitch together manually. Code analysis, dependency scanning, dynamic testing, secret detection, infrastructure-as-code review, container and API security, PII discovery, malware checks and compliance reporting all run from one integration at the Git layer. When a developer pushes a commit or opens a pull request, every engine fires in parallel rather than in sequence, with the vendor quoting scan completion under roughly two minutes.

What distinguishes the platform is Securitron AI, a per-customer model that reviews raw scanner output before it reaches a developer's screen. It ranks severity, drops findings judged to be false positives and generates fix patches that arrive as pull requests. Findings land in the dashboard but also in PR comments, the IDE, Slack and other existing workflows, so remediation does not require a separate tool switch.

AquilaX also ships ASPM and CSPM views for application and cloud posture, an MCP server for agent-based integrations, and a large free library of developer security utilities such as a JWT analyzer, hash generator, CVE search and OWASP checklist. Adoption is via Git providers, GitHub Actions, GitLab CI, REST API or CLI.

**Pricing & Plans:** Free plan available; paid Premium and Ultimate tiers add deployment, compliance and workflow capabilities. Enterprise pricing is available on request via demo.

- **32 parallel scanners:** SAST, SCA, DAST, secrets, IaC, container, API, PII and malware scanning run simultaneously in a single pass rather than as separate tools.
- **Securitron AI triage:** A per-customer model filters scanner output, removes false positives before findings reach developers and ranks what remains by real exploitability.
- **Automated fix pull requests:** For confirmed issues, AquilaX generates patches and opens pull requests so remediation happens inside the normal review workflow.
- **ASPM and CSPM posture:** Application and cloud security posture management give teams a single view of risk across code, dependencies and infrastructure.
- **100+ free developer tools:** Utilities like password and hash generators, JWT analyzer, security headers and CORS analyzers, CVE search and an OWASP checklist are free to use.

**Strengths:** Scans run in parallel across 32 engines, so results arrive in one fast pass rather than from many tools; AI noise filtering targets the false-positive volume that makes security alerts easy to ignore; Automated fix pull requests move remediation into the developer's existing review flow; A generous set of free developer security utilities makes it easy to evaluate before buying

**Limitations:** The breadth of scanners and settings can be overwhelming for very small teams without a security owner; Some advanced deployment, compliance and workflow features sit behind top-tier plans; Public performance figures are self-reported by the vendor

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

## 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)

## Frequently Asked Questions

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

AquilaX has 18,188 monthly visits, while Augment Code has 326,215. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

AquilaX has a month-over-month growth rate of -5.4%; Augment Code has +24.1%.

### How does pricing compare?

AquilaX: Freemium. Free plan available; paid Premium and Ultimate tiers add deployment, compliance and workflow capabilities. Enterprise pricing is available on request via demo. 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.

## 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 | [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 | Provides a fast AI-native IDE experience with deep project understanding, but lacks advanced enterprise context engines. | [.md](https://openaitools.app/tool/trae.md) |

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

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