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Augment Code VS Adapt

Augment Code VS Adapt对比,Augment Code 和 Adapt 有什么区别?

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总结

Augment Code 总结

Experience the AI platform that truly understands your codebase. Our developer AI helps teams code faster, make smarter decisions, and unlock collective knowledge. Try free today.

Augment Code 着陆页

Adapt 总结

Adapt 着陆页

比较详细信息

Augment Code 详细信息

类别 AI智能体, AI代码助手, AI代码生成器, AI开发者工具
Augment Code 网站 https://www.augmentcode.com?utm_source=toolify
添加时间 2025年3月5日
Augment Code 定价 --

Adapt 详细信息

类别 AI智能体, AI数据挖掘, AI数据分析
Adapt 网站 https://adapt.com?utm_source=toolify
添加时间 2026年5月24日
Adapt 定价 --

使用情况比较

如何使用 Augment Code?

Install the Augment Code extension in your IDE (VSCode, JetBrains, Vim) or integrate it with GitHub and Slack. Authenticate your accounts, and start using the AI agent for tasks like code refactoring, documentation, and debugging. Define issues, create code, and refine it using the platform's features.

如何使用 Adapt?

Ask anything, the way you're already thinking it, on Slack or in our web app. Adapt reaches into your tools and collects the relevant context. We route your question to the best model for the task. Adapt suggests next steps and takes action, without leaving Slack.

比较 Augment Code 和 Adapt 的优势

Augment Code的核心功能

  • Code augmentation
  • Context Engine for real-time codebase analysis
  • Integration with 100+ native and MCP tools
  • Code Checkpoints for easy reversion
  • Multi-Modal support for debugging with images
  • Team management

Adapt的核心功能

  • Adapt reads, writes, and takes action across your entire stack.
  • Pull live data, runs analysis, and delivers evidence-backed answers across every connected system.
  • Automate work on your schedule. Set up recurring workflows and scheduled tasks like daily briefings, pipeline reports, and systems monitoring.
  • Build apps and dashboards without a developer. Describe what you need and Adapt builds it.

比较使用案例

Augment Code的使用案例

  • Automating SDK migrations
  • Refactoring code
  • Generating code documentation
  • Understanding multi-repo code context
  • Explaining complex code snippets
  • Debugging Sentry issues directly from the IDE
  • Implementing UI elements using screenshots and Figma files
  • Going from issue to pull request in minutes

Adapt的使用案例

  • Daily briefing
  • Risk detection
  • Board prep
  • CAC analysis
  • Campaign performance
  • Attribution insights
  • System synchronization
  • Cross-functional visibility
  • Issue tracking
  • Prospect intelligence
  • Pipeline management
  • Automated follow-ups

Augment Code和Adapt的不同计划

Augment Code

Community

Free

Perfect for getting started with essential features. Up to 50 user messages, Context Engine, MCP & Native Tools, Unlimited Next Edits & Completions, Community support, Allowed data collection, Additional user messages $20/300

DEVELOPER

$50/month

For individuals or small teams that want to ship to production, fast. Everything in community with Up to 600 user messages, Team management, up to 100 users, No training on your data, Soc 2 type II, Additional user messages $30/300

PRO

$100/month

Ideal for growing teams that need enhanced capacity and support. Everything in Developer with Up to 1500 user messages, Additional user messages $30/300, Community & Email Support

Max

$250/month

Designed for high-demand teams or businesses with intensive usage needs. Everything in Pro with Up to 4500 user messages, Additional user messages $30/300

Teams

Enterprise

For enterprise teams with high volume, security, or support needs. Custom user pricing, SSO, OIDC, & SCIM support, Bespoke user message limit, SOC 2 & Security Reports, Slack integration, Dedicated support, Volume based annual discounts

Adapt

对不起,没有数据

比较流量/月访问量

Augment Code的流量

Augment Code 是月访问量为 503.5K 且平均访问时长为 00:01:48 的工具。 Augment Code 的每次访问页数为 2.55,跳出率为 45.78%。

最新流量情况

月访问量 503.5K
平均·访问时长 00:01:48
每次访问页数 2.55
跳出率 45.78%
Nov 2024 - Jun 2026 所有流量:

Adapt的流量

Adapt 是月访问量为 67.9K 且平均访问时长为 00:07:20 的工具。 Adapt 的每次访问页数为 5.56,跳出率为 39.60%。

最新流量情况

月访问量 67.9K
平均·访问时长 00:07:20
每次访问页数 5.56
跳出率 39.60%
Feb 2026 - Jun 2026 所有流量:

地理位置

Augment Code 的前 5 个国家/地区是:United States 26.81%, India 11.88%, China 11.43%, United Kingdom 4.91%, Canada 2.96%

Top 5 国家/地区

United States
26.81%
India
11.88%
China
11.43%
United Kingdom
4.91%
Canada
2.96%

地理位置

Adapt 的前 5 个国家/地区是:United States 68.37%, Finland 15.39%, India 4.39%, United Kingdom 3.51%, Vietnam 1.58%

Top 5 国家/地区

United States
68.37%
Finland
15.39%
India
4.39%
United Kingdom
3.51%
Vietnam
1.58%

流量来源

Augment Code 的 6 个主要流量来源是:vs_sourcesSearchOrganic 39.25%, 直接访问 38.93%, 外链引荐 8.59%, vs_sourcesSocialOrganic 4.33%, vs_sourcesGenAi 3.94%, 邮件 2.43%, vs_sourcesSearchPaid 1.63%, vs_sourcesSocialPaid 0.45%, vs_sourcesDisplayAds 0.44%, vs_sourcesAffiliate 0.00%

vs_sourcesSearchOrganic
39.25%
直接访问
38.93%
外链引荐
8.59%
vs_sourcesSocialOrganic
4.33%
vs_sourcesGenAi
3.94%
邮件
2.43%
vs_sourcesSearchPaid
1.63%
vs_sourcesSocialPaid
0.45%
vs_sourcesDisplayAds
0.44%
vs_sourcesAffiliate
0.00%
Nov 2024 - Jun 2026 仅限全球桌面设备

流量来源

Adapt 的 6 个主要流量来源是:直接访问 76.23%, 外链引荐 8.77%, vs_sourcesSocialOrganic 5.81%, vs_sourcesSearchOrganic 3.39%, 邮件 2.96%, vs_sourcesGenAi 1.17%, vs_sourcesSearchPaid 0.99%, vs_sourcesAffiliate 0.36%, vs_sourcesDisplayAds 0.32%, vs_sourcesSocialPaid 0.00%

直接访问
76.23%
外链引荐
8.77%
vs_sourcesSocialOrganic
5.81%
vs_sourcesSearchOrganic
3.39%
邮件
2.96%
vs_sourcesGenAi
1.17%
vs_sourcesSearchPaid
0.99%
vs_sourcesAffiliate
0.36%
vs_sourcesDisplayAds
0.32%
vs_sourcesSocialPaid
0.00%
Feb 2026 - Jun 2026 仅限全球桌面设备

Augment Code 或 Adapt哪个更好?

Augment Code 可能比 Adapt 更受欢迎。如您所见,Augment Code 每月有 503.5K 次访问,而 Adapt 每月有 67.9K 次访问。 所以更多的人选择了Augment Code。 因此,人们很可能会在社交平台上更多地推荐 Augment Code。

Augment Code 的平均访问持续时间为 00:01:48,而 Adapt 的平均访问持续时间为 00:07:20。 此外,Augment Code 的每次访问页面为 2.55,跳出率为 45.78%。 Adapt 的每次访问页面为 5.56,跳出率为 39.60%。

Augment Code 的主要用户是United States, India, China, United Kingdom, Canada,分布如下:26.81%, 11.88%, 11.43%, 4.91%, 2.96%。

Adapt 的主要用户是 United States, Finland, India, United Kingdom, Vietnam,分布如下:68.37%, 15.39%, 4.39%, 3.51%, 1.58%。

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