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。
Jolt AIは、大規模で複雑なコードベース向けに設計された専門的なAIコーディングアシスタントです。独自のHyperContextエンジンがプロジェクト全体を自動的に理解し、正確な複数ファイルにわたるコード変更の生成、複雑な質問への回答を可能にし、開発チームのベロシティを大幅に加速させます。
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。
Jolt AI 製品概要
Jolt AIは、大規模で複雑なコードベース向けに設計された専門的なAIコーディングアシスタントです。独自のHyperContextエンジンがプロジェクト全体を自動的に理解し、正確な複数ファイルにわたるコード変更の生成、複雑な質問への回答を可能にし、開発チームのベロシティを大幅に加速させます。
Detailed feature comparison
| Feature | Augment Code | Jolt AI |
|---|---|---|
| 主要カテゴリー | コード生成 | コード生成 |
| 追加日 | 2025-08-05 | 2025-08-12 |
| 価格 | フリーミアム | フリーミアム |
| 公式サイト | www.augmentcode.com | www.usejolt.ai |
| 製品タイプ | ブラウザ拡張 | ウェブサイト |
| 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 | 104 |
| Details | 詳細を見る | 詳細を見る |
Augment Code vs Jolt AI monthly traffic
Compare Augment Code and Jolt AI by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
How to interpret the traffic data
In the Augment Code vs Jolt AI monthly traffic comparison, Augment Code currently shows 543.5K visits and Jolt AI shows 3.3K; Augment Code has about 162.4 times the visible traffic of Jolt AI, 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; Jolt AI 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
Jolt AI monthly traffic:
Latest traffic
Usage comparison
Compare the core capabilities of Augment Code and Jolt AI
Augment Code Core features
Jolt AI Core features
Use cases
Augment Code Use cases
Jolt AI Use cases
Augment Code vs Jolt AI:In-depth comparison and selection guidance
First decide whether the products solve the same kind of need
This in-depth Augment Code vs Jolt AI 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 Jolt AI 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: Product type (Augment Code: Browser extension; Jolt AI: Website); Monthly visits (Augment Code: 543.5K; Jolt AI: 3.3K); Favorites (Augment Code: 132; Jolt AI: 104); Website (Augment Code: www.augmentcode.com; Jolt AI: www.usejolt.ai); Added (Augment Code: 2025-08-05; Jolt AI: 2025-08-12). These facts are more useful for selection than brand visibility alone.
What market visibility and monthly traffic mean
In the Augment Code vs Jolt AI monthly traffic comparison, Augment Code currently shows 543.5K visits and Jolt AI shows 3.3K; Augment Code has about 162.4 times the visible traffic of Jolt AI, 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; Jolt AI 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 Jolt AI currently overlap in shared categories: コード生成、コードアシスタント、開発者ツール; shared tags: コードアシスタント、コード生成、開発者ツール、リファクタリング、SOC 2. 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 AIペアプログラマー、自律エージェント、エンタープライズセキュリティ、IDE拡張機能、ジェットブレインズ、ソフトウェア開発、VS Code; Jolt AI's are AIプログラミング、バグ修正、エンタープライズAI、IDEプラグイン、大規模なコードベース. 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;Jolt AI has no verified rating, 0 comments, 104 favorites, and 103 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 AIペアプログラマー、自律エージェント、エンタープライズセキュリティ、IDE拡張機能、ジェットブレインズ、ソフトウェア開発. 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 Jolt AI first
Put Jolt AI on the priority trial list when the task aligns with “コード生成” and especially AIプログラミング、バグ修正、エンタープライズAI、IDEプラグイン、大規模なコードベース. This follows recorded positioning and does not imply unlisted capabilities are absent.
Jolt AI also currently records: pricing is freemium, product type is website, 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 Jolt AI, 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.




