# Arcjet vs Augment Code

Arcjet records 38,973 monthly visits with -29.2% month-over-month growth and Free Trial, Paid, Contact for Pricing pricing. Augment Code records 326,215 monthly visits with +24.1% growth and Freemium, Free Trial, Contact for Pricing pricing.

| Metric | [Arcjet](https://openaitools.app/tool/arcjet) | [Augment Code](https://openaitools.app/tool/augment-code) |
| :--- | :--- | :--- |
| Website URL | https://arcjet.com | https://www.augmentcode.com |
| Categories | AI Agent, AI Developer Tools, AI API, AI Workflow | AI Agent, AI Code Assistant, AI Code Generator, AI Developer Tools |
| Pricing Model | Free Trial, Paid, Contact for Pricing | Freemium, Free Trial, Contact for Pricing |
| Monthly Visits | 38,973 | 326,215 |
| MoM Growth Rate | -29.2% | +24.1% |
| Primary Market | United Kingdom | United States |
| Direct Visits | 23,705 | 137,070 |
| Review Score | 4.4 | 4.5 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## Arcjet

Arcjet started life as a developer-friendly security layer for web applications and has expanded into runtime security for AI agents. Instead of only checking identity at the door, it evaluates every step an agent takes: which tool is being called, with which typed arguments, by which actor, and in the context of the steps that came before. That lets teams stop unauthorized refunds, unexpected data access, runaway token spend and sequence drift that no single step would have flagged on its own.

The platform combines classic application protections - WAF, bot detection, rate limiting, signup form protection and email validation - with agent-specific controls such as prompt injection detection, tool and MCP authorization, sensitive information detection and data loss prevention. Detection for sensitive data can run locally in your environment so regulated payloads never leave your infrastructure, while decisions and policy versions stream out to SIEM tools like Splunk, Datadog, Panther and Cribl for evidence.

Arcjet ships SDKs for JavaScript and Python ecosystems (Next.js, Astro, Express, Fastify, NestJS, Nuxt, SvelteKit, Hono, Flask, FastAPI, Bun, Deno and more) plus integrations for agent frameworks including LangChain, LangGraph, CrewAI, Google ADK, Mastra, OpenAI Agents, Vercel AI SDK and the Claude Agent SDK. It also offers an MCP server, a CLI and skills for coding agents such as Claude Code, Codex and Cursor. A free trial is available, with paid plans and custom/enterprise pricing on request.

**Pricing & Plans:** Free trial available, then paid plans with custom pricing for larger deployments. Enterprise and volume pricing is quoted on request. Check the official pricing page for current tiers and usage limits.

- **Agent action policy enforcement:** Wrap agent tool calls and get a typed decision - allow, block, redact or hold for review - before the tool actually executes, based on actor, role, route and typed inputs.
- **Prompt injection detection:** Screen user input, fetched web pages, API responses and tool output for hostile instructions before anything reaches the model context.
- **Sensitive information and DLP:** Detect and strip names, addresses, national IDs, bank and card numbers before they reach model context, logs or third-party tools, with optional in-process local detection.
- **Web app protections:** Bot protection, WAF rules, rate limiting, signup form protection and email validation to keep public endpoints and signup flows clean.
- **Audit and observability:** Every decision, policy version and actor is retained as evidence and streamed to Splunk, Datadog, Panther, Cribl or your own analytics warehouse, with OpenTelemetry agent traces.

**Strengths:** Evaluates the whole agent run, not just a single request, which catches sequence drift and multi-step abuse; Detection can run in-process so sensitive data does not have to leave your environment; Broad SDK and agent-framework coverage, including an MCP server, CLI and coding-agent skills; Decisions and policy versions stream to common SIEM and observability stacks for compliance evidence

**Limitations:** Requires code changes inside your application rather than a purely network-level gateway deployment; The breadth of controls and frameworks means a real learning curve for smaller teams; Advanced enterprise governance and custom retention options are quote-based rather than self-serve

[Profile (Markdown)](https://openaitools.app/tool/arcjet.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 Arcjet and Augment Code compare in monthly traffic?

Arcjet has 38,973 monthly visits, while Augment Code has 326,215. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Arcjet has a month-over-month growth rate of -29.2%; Augment Code has +24.1%.

### How does pricing compare?

Arcjet: Free Trial, Paid, Contact for Pricing. Free trial available, then paid plans with custom pricing for larger deployments. Enterprise and volume pricing is quoted on request. Check the official pricing page for current tiers and usage limits. 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 | [Composio](https://openaitools.app/tool/composio) | 2,782,603 | +22.8% | Freemium, Contact for Pricing | Give your AI agents secure, authenticated access to 1,700+ apps | [.md](https://openaitools.app/tool/composio.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 | 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) |
| 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/arcjet-vs-augment-code

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