Augment Codeは、自律エージェントと強力なコンテキストエンジンを搭載した高度なAIソフトウェア開発プラットフォームです。IDEに統合し、本番環境向けのコードの計画、構築、出荷を迅速化し、エンタープライズレベルのセキュリティとコードベースの深い理解を重視しています。
Safuraiは、ソフトウェア開発者のための仮想アシスタントとして機能するAI搭載のIDE拡張機能です。コーディング、デバッグ、リファクタリングを支援し、VS CodeやJetBrainsなどのお気に入りのIDE内で直接、開発プロセスを合理化し、コード品質を向上させることを目指しています。
製品概要
Augment Code 製品概要
Augment Codeは、自律エージェントと強力なコンテキストエンジンを搭載した高度なAIソフトウェア開発プラットフォームです。IDEに統合し、本番環境向けのコードの計画、構築、出荷を迅速化し、エンタープライズレベルのセキュリティとコードベースの深い理解を重視しています。
Safurai 製品概要
Safuraiは、ソフトウェア開発者のための仮想アシスタントとして機能するAI搭載のIDE拡張機能です。コーディング、デバッグ、リファクタリングを支援し、VS CodeやJetBrainsなどのお気に入りのIDE内で直接、開発プロセスを合理化し、コード品質を向上させることを目指しています。
Detailed feature comparison
| Feature | Augment Code | Safurai |
|---|---|---|
| 主要カテゴリー | コード生成 | コード生成 |
| 追加日 | 2025-08-05 | 2025-08-08 |
| 価格 | フリーミアム | フリーミアム |
| 公式サイト | www.augmentcode.com | safurai.com |
| 製品タイプ | ブラウザ拡張 | ブラウザ拡張 |
| Performance data | ||
| ユーザー評価 | 未確認 | 未確認 |
| コメント | 0 | 0 |
| 月間訪問数 | 543.5K | 3.3K |
| 月間成長率 | 7.2% | 未確認 |
| お気に入り | 132 | 105 |
| Details | 詳細を見る | 詳細を見る |
Augment Code vs Safurai monthly traffic
Compare Augment Code and Safurai by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
How to interpret the traffic data
In the Augment Code vs Safurai monthly traffic comparison, Augment Code currently shows 543.5K visits and Safurai shows 3.3K; Augment Code has about 163.6 times the visible traffic of Safurai, an absolute difference of about 540.2K visits. This reflects visible reach, not feature quality or paid users.
Only Augment Code has complete third-party traffic details; Safurai 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.
Augment Code monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 1M 月間訪問数
- 2026/1: 614.9K 月間訪問数
- 2026/2: 524.3K 月間訪問数
- 2026/3: 676.2K 月間訪問数
- 2026/4: 507.2K 月間訪問数
- 2026/5: 543.5K 月間訪問数
主要地域
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 56.75% | 308.4K |
| 🇮🇳India | 17.56% | 95.4K |
| 🇨🇳China | 10.67% | 58K |
| 🇬🇧United Kingdom | 8.34% | 45.3K |
| 🇩🇪Germany | 6.68% | 36.3K |
流入元
| Source type | Percentage | Traffic |
|---|---|---|
| ダイレクト | 76.45% | 415.5K |
| 参照元 | 19.36% | 105.2K |
| Eメール | 4.19% | 22.8K |
検索キーワード
Safurai monthly traffic:
Latest traffic
Usage comparison
Compare the core capabilities of Augment Code and Safurai
Augment Code Core features
Safurai Core features
Use cases
Augment Code Use cases
Safurai Use cases
Augment Code vs Safurai:In-depth comparison and selection guidance
First decide whether the products solve the same kind of need
This in-depth Augment Code vs Safurai comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Augment Code is primarily listed under “コード生成”, while Safurai is primarily listed under “コード生成”, so the first decision is whether your actual task matches their recorded scope.
The structured fields currently show these decision-relevant differences: Primary category (Augment Code: コード生成; Safurai: コード生成); Monthly visits (Augment Code: 543.5K; Safurai: 3.3K); Favorites (Augment Code: 132; Safurai: 105); Website (Augment Code: www.augmentcode.com; Safurai: safurai.com); Added (Augment Code: 2025-08-05; Safurai: 2025-08-08). These facts are more useful for selection than brand visibility alone.
What market visibility and monthly traffic mean
In the Augment Code vs Safurai monthly traffic comparison, Augment Code currently shows 543.5K visits and Safurai shows 3.3K; Augment Code has about 163.6 times the visible traffic of Safurai, an absolute difference of about 540.2K visits. This reflects visible reach, not feature quality or paid users.
Only Augment Code has complete third-party traffic details; Safurai 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
Augment Code and Safurai currently overlap in shared categories: コードアシスタント、開発者ツール; shared tags: AIペアプログラマー、コードアシスタント、コード生成、IDE拡張機能、ジェットブレインズ、リファクタリング、ソフトウェア開発、VS Code. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
Augment Code's unique categories/tags are コード生成、自律エージェント、開発者ツール、エンタープライズセキュリティ、SOC 2; Safurai's are コード生成、デバッグ、開発者ツール. 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
Augment Code has no verified rating, 0 comments, 132 favorites, and 106 likes;Safurai has no verified rating, 0 comments, 105 favorites, and 112 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Selection guidance by actual need
When to evaluate Augment Code first
Put Augment Code on the priority trial list when the task aligns with “コード生成” and especially コード生成、自律エージェント、開発者ツール、エンタープライズセキュリティ、SOC 2. This follows recorded positioning and does not imply unlisted capabilities are absent.
Augment Code also currently records: pricing is freemium, product type is browser extension, 543.5K 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 Safurai first
Put Safurai on the priority trial list when the task aligns with “コード生成” and especially コード生成、デバッグ、開発者ツール. This follows recorded positioning and does not imply unlisted capabilities are absent.
Safurai also currently records: pricing is freemium, product type is browser extension, 3.3K 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 Augment Code and Safurai, 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.




