Amp는 개발자를 위해 설계된 최첨단 AI 코딩 에이전트입니다. CLI 및 VS Code와 같은 IDE 내에서 작동하여 코드 편집, 디버깅, 리팩토링과 같은 복잡한 작업을 자동화합니다. Amp는 최신 AI 모델을 활용하여 자율적 추론 및 실행을 제공하며, 서브 에이전트, 복잡한 분석을 위한 Oracle, 깊은 IDE 통합과 같은 기능으로 개발자 생산성을 향상시킵니다.
제품 개요
Amp 제품 개요
Amp는 개발자를 위해 설계된 최첨단 AI 코딩 에이전트입니다. CLI 및 VS Code와 같은 IDE 내에서 작동하여 코드 편집, 디버깅, 리팩토링과 같은 복잡한 작업을 자동화합니다. Amp는 최신 AI 모델을 활용하여 자율적 추론 및 실행을 제공하며, 서브 에이전트, 복잡한 분석을 위한 Oracle, 깊은 IDE 통합과 같은 기능으로 개발자 생산성을 향상시킵니다.
Roo Code 제품 개요
Roo Code는 VS Code에 직접 통합된 오픈 소스 AI 기반 개발 어시스턴트입니다. 가상 개발팀처럼 작동하여 전체 코드베이스를 이해하고 복잡한 코딩, 다중 파일 리팩토링, 지능형 디버깅을 지원하며 다양한 AI 모델을 지원합니다.
Detailed feature comparison
| Feature | Amp | Roo Code |
|---|---|---|
| 주요 카테고리 | 코드 어시스턴트 | 디버깅 |
| 등록일 | 2025-10-22 | 2025-08-02 |
| 가격 | 프리미엄 | 프리미엄 |
| 공식 사이트 | ampcode.com | roo-code.net |
| 제품 유형 | 웹사이트 | 브라우저 확장 |
| Performance data | ||
| 사용자 평점 | 확인되지 않음 | 확인되지 않음 |
| 댓글 | 0 | 0 |
| 월 방문 | 301.2K | 3.5K |
| 월 성장률 | -21.9% | 확인되지 않음 |
| 즐겨찾기 | 129 | 109 |
| Details | 상세 보기 | 상세 보기 |
Amp vs Roo Code monthly traffic
Compare Amp and Roo Code by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
How to interpret the traffic data
In the Amp vs Roo Code monthly traffic comparison, Amp currently shows 301.2K visits and Roo Code shows 3.5K; Amp has about 87 times the visible traffic of Roo Code, an absolute difference of about 297.7K visits. This reflects visible reach, not feature quality or paid users.
Only Amp has complete third-party traffic details; Roo Code uses visits recorded inside ToolMage. These scopes cannot estimate market share directly, and on-site views should not be treated as the product’s total website traffic.
Amp monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 221K 월 방문
- 2026/1: 688.5K 월 방문
- 2026/2: 568.9K 월 방문
- 2026/3: 460.2K 월 방문
- 2026/4: 385.9K 월 방문
- 2026/5: 301.2K 월 방문
주요 지역
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 40.72% | 122.6K |
| 🇨🇳China | 27.13% | 81.7K |
| 🇹🇼Taiwan | 12.58% | 37.9K |
| 🇭🇰Hong Kong | 11.4% | 34.3K |
| 🇻🇳Vietnam | 8.17% | 24.6K |
트래픽 소스
| Source type | Percentage | Traffic |
|---|---|---|
| 직접 | 82.01% | 247K |
| 리퍼럴 | 16.72% | 50.4K |
| 이메일 | 1.27% | 3.8K |
검색 키워드
Roo Code monthly traffic:
Latest traffic
Usage comparison
Compare the core capabilities of Amp and Roo Code
Amp Core features
Roo Code Core features
Use cases
Amp Use cases
Roo Code Use cases
Best suited roles
Amp Best suited roles
Roo Code Best suited roles
Amp vs Roo Code:In-depth comparison and selection guidance
First decide whether the products solve the same kind of need
This in-depth Amp vs Roo Code comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Amp is primarily listed under “코드 어시스턴트”, while Roo Code is primarily listed under “디버깅”, so the first decision is whether your actual task matches their recorded scope.
The structured fields currently show these decision-relevant differences: Primary category (Amp: 코드 어시스턴트; Roo Code: 디버깅); Product type (Amp: Website; Roo Code: Browser extension); Monthly visits (Amp: 301.2K; Roo Code: 3.5K); Favorites (Amp: 129; Roo Code: 109); Website (Amp: ampcode.com; Roo Code: roo-code.net). These facts are more useful for selection than brand visibility alone.
What market visibility and monthly traffic mean
In the Amp vs Roo Code monthly traffic comparison, Amp currently shows 301.2K visits and Roo Code shows 3.5K; Amp has about 87 times the visible traffic of Roo Code, an absolute difference of about 297.7K visits. This reflects visible reach, not feature quality or paid users.
Only Amp has complete third-party traffic details; Roo Code uses visits recorded inside ToolMage. These scopes cannot estimate market share directly, and on-site views should not be treated as the product’s total website traffic.
The current traffic scope is not sufficient for a reliable product ranking. Treat monthly visits as a market-interest signal, then decide using taxonomy, use cases, pricing, and a like-for-like trial rather than reading exposure as product capability.
Product positioning, use cases, and roles
Amp and Roo Code currently overlap in shared categories: 코드 어시스턴트 및 개발자 도구; shared tags: 코드 어시스턴트, 코드 생성, 디버깅, 리팩토링 및 VS Code. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
Amp's unique categories/tags are AI 페어 프로그래머, 자율 에이전트, 명령줄 인터페이스, 코딩 에이전트 및 개발자 도구; Roo Code's are 디버깅, AI 개발자, 개발자 생산성, 로컬 LLM, 모델 독립적 및 오픈 소스. These unique fields are the strongest differentiators: validate the product whose recorded scope matches the task instead of following traffic alone.
What ratings, comments, and favorites can tell you
Amp has no verified rating, 0 comments, 129 favorites, and 120 likes;Roo Code has no verified rating, 0 comments, 109 favorites, and 121 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Selection guidance by actual need
When to evaluate Amp first
Put Amp on the priority trial list when the task aligns with “코드 어시스턴트” and especially AI 페어 프로그래머, 자율 에이전트, 명령줄 인터페이스, 코딩 에이전트 및 개발자 도구, or the users include 데이터 과학자, 데브옵스 엔지니어, 소프트웨어 개발자 및 소프트웨어 엔지니어. This follows recorded positioning and does not imply unlisted capabilities are absent.
Amp also currently records: pricing is freemium, product type is website, 301.2K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
When to evaluate Roo Code first
Put Roo Code on the priority trial list when the task aligns with “디버깅” and especially 디버깅, AI 개발자, 개발자 생산성, 로컬 LLM, 모델 독립적 및 오픈 소스. This follows recorded positioning and does not imply unlisted capabilities are absent.
Roo Code also currently records: pricing is freemium, product type is browser extension, 3.5K on-site monthly views, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
How to validate the recommendation before deciding
The available data describes positioning, public visibility, and community signals, but it cannot prove output quality, speed, integration effort, privacy, or long-term cost in your workflow. Before deciding, run the same representative tasks in Amp and Roo Code, then record completion time, accuracy, manual corrections, and the real paid threshold. A like-for-like trial turns this comparison into a defensible adoption decision.




