# Aikido Security vs Augment Code

Aikido Security records 757,491 monthly visits with +9.6% 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 | [Aikido Security](https://openaitools.app/tool/aikido-security) | [Augment Code](https://openaitools.app/tool/augment-code) |
| :--- | :--- | :--- |
| Website URL | https://aikido.dev | https://www.augmentcode.com |
| Categories | AI Code Review, AI Code Assistant, AI Testing, AI Developer Tools | AI Agent, AI Code Assistant, AI Code Generator, AI Developer Tools |
| Pricing Model | Freemium | Freemium, Free Trial, Contact for Pricing |
| Monthly Visits | 757,491 | 326,215 |
| MoM Growth Rate | +9.6% | +24.1% |
| Primary Market | United States | United States |
| Direct Visits | 303,708 | 137,070 |
| Review Score | 4.4 | 4.5 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## Aikido Security

Aikido Security is built as a consolidated application security platform aimed squarely at development teams. Instead of stitching together a dozen separate scanners, it brings dependency scanning (SCA), static analysis (SAST), secrets detection, license and SBOM generation, container image scanning, infrastructure-as-code checks, and cloud posture management into one place. The goal is to reduce noise: Aikido markets very low false-positive rates and fast finding-to-fix cycles so engineers can act on results instead of triaging them.

AI features run through the product. AutoTriage filters out findings that do not matter, while AI-assisted AutoFix drafts the code change or pull request needed to close a vulnerability. Aikido also offers continuous, AI-driven offensive testing (pentests, DAST, API and attack-surface scanning) so teams can keep probing running applications rather than relying on annual point-in-time assessments.

The platform integrates with IDEs, CI/CD pipelines, Git providers, and cloud accounts, and offers a no-credit-card free tier for small teams plus paid plans for growing organizations. On-premises and air-gapped scanning options are available for regulated environments.

**Pricing & Plans:** Freemium. A free tier requires no credit card and covers small teams; paid plans scale by project/user and add advanced modules. Enterprise and on-prem options are quoted on request.

- **Code security suite:** SCA dependency scanning, SAST, AI code audit, secrets detection, license/SBOM generation, malware detection, and code quality in one pipeline.
- **AI AutoTriage & AutoFix:** AI filters false positives and generates fixes or pull requests, cutting triage time and shortening the path from finding to resolution.
- **Cloud & workload security:** CSPM for misconfigurations, IaC scanning, Kubernetes and container image scanning, VM insights, DSPM, and cloud attack-path mapping.
- **AI-powered pentesting:** Continuous web/API testing, DAST, attack-surface mapping, and autonomous pentest agents that keep validating what is actually exploitable.
- **Developer integrations:** Native hooks for IDEs, CI/CD, Git providers, clouds, ticketing and chat tools so security lives where developers already work.

**Strengths:** Broad coverage across code, cloud, containers and runtime in one tool; Aggressive false-positive filtering keeps developer trust high; AI AutoFix turns findings into pull requests automatically; Free tier with no credit card lowers the barrier to start

**Limitations:** Advanced modules and enterprise features require paid plans; Very broad feature set can take time to configure fully; Some compliance and on-prem capabilities are enterprise-gated

[Profile (Markdown)](https://openaitools.app/tool/aikido-security.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 Aikido Security and Augment Code compare in monthly traffic?

Aikido Security has 757,491 monthly visits, while Augment Code has 326,215. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Aikido Security has a month-over-month growth rate of +9.6%; Augment Code has +24.1%.

### How does pricing compare?

Aikido Security: Freemium. Freemium. A free tier requires no credit card and covers small teams; paid plans scale by project/user and add advanced modules. Enterprise and on-prem options are quoted on request. 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 | [CodeRabbit](https://openaitools.app/tool/coderabbit) | 1,048,880 | +4.6% | Freemium, Free Trial, Paid, Contact for Pricing | Deep GitHub pull request code reviews highlighting security issues, but operates strictly as a code reviewer rather than complete AppSec platform. | [.md](https://openaitools.app/tool/coderabbit.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 | [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/aikido-security-vs-augment-code

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