# Augment Code vs Manicode

Augment Code records 326,215 monthly visits with +24.1% month-over-month growth and Freemium, Free Trial, Contact for Pricing pricing. Manicode records 292 monthly visits with -95.7% growth and Paid pricing.

| Metric | [Augment Code](https://openaitools.app/tool/augment-code) | [Manicode](https://openaitools.app/tool/manicode) |
| :--- | :--- | :--- |
| Website URL | https://www.augmentcode.com | https://manicode.ai |
| Categories | AI Agent, AI Code Assistant, AI Code Generator, AI Developer Tools | AI Code Assistant, AI Copilot, AI Code Generator, AI Agent |
| Pricing Model | Freemium, Free Trial, Contact for Pricing | Paid |
| Monthly Visits | 326,215 | 292 |
| MoM Growth Rate | +24.1% | -95.7% |
| Primary Market | United States | Global |
| Direct Visits | 137,070 | 100 |
| 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)

## Manicode

Manicode Forge attacks a specific problem: frontier AI models write insecure code by default, and even when explicitly instructed to write securely they still introduce vulnerabilities in a meaningful share of cases. Manicode's answer is not another scanner bolted on after the fact, but a set of carefully engineered system prompts that shape what the model emits while it is generating code. Each prompt is tied to a stack — Python, JavaScript, TypeScript, Java, C#, Go, Rust, React, Spring Boot, Django and more — and encodes rules for authentication, authorization, cryptography, input validation, and web/API security.

The prompts are designed to drop into the AI harnesses engineering teams already use, including Claude Code, Cursor, Windsurf, GitHub Copilot, OpenAI Codex, Aider, JetBrains AI, and Amazon Q. The company reports secure-code generation coverage across 15 languages and dozens of frameworks and security topics. Guidance is authored by Jim Manico, a long-time OWASP volunteer involved with the Cheat Sheet Series, ASVS, and AISVS, and a secure-coding instructor — the intent being that the assistant writes code the way an experienced application-security engineer would.

Commercials are aimed at engineering organizations rather than individuals. A pilot tier lets a team buy prompts for a single behavior to prove results before scaling; team and enterprise tiers add CLI installs, benchmarking, a year of prompt updates, and compliance-oriented features such as SSO, SCIM, and SOC 2 Type II alignment.

**Pricing & Plans:** Paid, quote-based tiers. Pilot starts around $1,000 USD per prompt with a 5-prompt minimum; Teams starts around $10,000 USD with 10 prompts included; Enterprise starts around $100,000 USD. All tiers cover unlimited developers, repositories, and usage, and are booked via a call rather than self-serve checkout.

- **Framework-specific secure system prompts:** Prompt packs tailored to a language and framework — Python, React, Spring Boot, Next.js, Django and 50+ more — that encode secure coding rules rather than generic advice.
- **Security-topic coverage:** Prompts cover AI security, authentication and authorization, cryptography, input validation, web and API security, cloud and mobile security across 30+ topics.
- **Works with your existing AI harness:** Installs into Claude Code, Cursor, Windsurf, GitHub Copilot, OpenAI Codex, Aider, JetBrains AI, Amazon Q and Cline / Roo Code without replacing your editor or workflow.
- **Authored by an OWASP veteran:** Every prompt is written around the guidance of Jim Manico, co-leader of the OWASP Cheat Sheet Series and a contributor to ASVS and AISVS.
- **Enterprise controls and benchmarking:** Team and enterprise tiers add one-command CLI installs, benchmark results across frontier models, 12 months of prompt updates, plus SSO, SCIM, audit logs and model fine-tuning support.

**Strengths:** Addresses insecure AI-generated code at generation time rather than in post-hoc review; Prompt packs are stack-specific and authored by a recognized secure-coding instructor; Fits existing AI coding tools such as Claude Code, Cursor, Copilot and Codex; Unlimited developers, repositories and usage on every tier

**Limitations:** No self-serve signup — pricing is quote-based and requires booking a call; Entry pricing is high for solo developers and small teams; Value depends on prompting discipline and the capability of the underlying model

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

## Frequently Asked Questions

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

Augment Code has 326,215 monthly visits, while Manicode has 292. 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%; Manicode has -95.7%.

### 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. Manicode: Paid. Paid, quote-based tiers. Pilot starts around $1,000 USD per prompt with a 5-prompt minimum; Teams starts around $10,000 USD with 10 prompts included; Enterprise starts around $100,000 USD. All tiers cover unlimited developers, repositories, and usage, and are booked via a call rather than self-serve checkout.

## 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 | Google's agent-first development platform for building and shipping software with AI agents | [.md](https://openaitools.app/tool/google-antigravity.md) |
| 2 | [Replit](https://openaitools.app/tool/replit) | 10,016,437 | -7.7% | Freemium, Paid | Describe your idea and Replit builds a working app in minutes | [.md](https://openaitools.app/tool/replit.md) |
| 3 | [Cursor](https://openaitools.app/tool/cursor-sh) | 4,790,129 | +6.5% | Freemium | The AI coding agent that turns ideas into shipped software | [.md](https://openaitools.app/tool/cursor-sh.md) |
| 4 | [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) |
| 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 | The coding agent that learns your coding taste | [.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 | An AI IDE and coding agent that works on your project, not just your cursor | [.md](https://openaitools.app/tool/trae.md) |

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

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