Augment Code
已验证为团队打造的 AI 编程助手
发布时间
2024
国家/地区
美国
API
可用
自托管
否
融资
Series B
最近更新
2026-06
关于 Augment Code
总评
The enterprise codebase-indexing champion — if your team works on large monorepos and needs AI that understands the full repository, not just the file in front of you, Augment Code delivers. Its Context Engine is the most thorough codebase awareness among IDE extensions. The paid-only model limits accessibility, but for enterprises where codebase context quality directly impacts AI output quality, it justifies the cost.
功能特性
详细评分
优缺点
优点
- 深度代码库感知
- 团队专属上下文
- 企业级安全
- 快速补全
缺点
- 企业级定价
- 产品较新
- 公开信息有限
应用场景
适合谁使用？
需要 AI 编程辅助且要求深度理解自身代码库和模式的大型工程团队
定价方案
团队版
- 代码补全
- 对话助手
- IDE 集成
- 团队分析
企业级
- SSO/SAML
- 自定义模型训练
- 高级安全
- 专属支持
- SLA 保证
常见问题
How is Augment Code different from GitHub Copilot?
Augment Code indexes your entire codebase to provide deeper context than Copilot's open-file approach. This makes a significant difference on large monorepos where relevant code lives far from the file being edited. Copilot has broader IDE support and a lower price point; Augment Code is stronger on codebase-wide intelligence.
What is the Context Engine?
Augment Code's Context Engine builds a searchable index of your entire repository. When the AI generates completions or plans edits, it retrieves relevant code from across the repo using RAG — not just the files you have open. This means more accurate suggestions that account for dependencies, patterns, and conventions in your codebase.
Is there a free tier?
No. Augment Code is a paid product with enterprise-focused pricing. Contact their sales team for team and individual plans.
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热门替代方案
与这些相似工具进行比较
链接与资源
档案由 AI 辅助、基于公开信息生成——未经独立手动测试。