Cursor 记录了 23,297,751 月访问量,月度环比增长为 +8.4%,定价为免费增值。TypeSafe AI - Jev 记录了 6,148,688 月访问量,增长率为 -36.4%,定价为付费。

TypeSafe AI is an AI lab building machine-native intelligence infrastructure, and Jev is its first System One Model — a model designed to make decisions inside software rather than reply to humans. Instead of returning strings, Jev accepts structured questions and returns typed decisions with calibrated confidence scores, so applications can act autonomously when confidence is high and escalate for human review when it is not. TypeSafe reports roughly 193x faster and 444x cheaper performance on System One workloads compared with general-purpose LLMs.
| 维度 / 指标 | ![]() | ![]() |
|---|---|---|
| 官方域名 | cursor.com | typesafe.ai |
| 定价模式 | 免费增值 | 付费 |
| 月访问量 | 2329.78万 (23,297,751) | 614.87万 (6,148,688) |
| 月度环比流量变化 | +180.03万 (+8.4%) | -351.3万 (-36.4%) |
| 主要市场与份额 | 🇺🇸 美国 (24.1%) | 🇺🇸 美国 (26.4%) |
| 直接访问 / 月 | 1468.38万 | 314.11万 |
| 用户评分 | 4.7 | 4.2 |
| 支持的平台 | 网站 | 网站 |

打造宏大软件的 AI 编程智能体
智能体模式会规划改动、同时编辑多个文件、运行测试,并持续迭代直到任务完成。
后台智能体会启动独立环境,并行构建、测试并演示功能,然后把结果交回供审核。
快速的即时补全,加上全代码库的语义搜索与索引,让回答基于你真实的代码库。
可在多家厂商的前沿模型之间切换,也可以让 Cursor 针对每个任务自动选择模型。

TypeSafe AI is an AI lab building machine-native intelligence infrastructure, and Jev is its first System One Model — a model designed to make decisions inside software rather than reply to humans. Instead of returning strings, Jev accepts structured questions and returns typed decisions with calibrated confidence scores, so applications can act autonomously when confidence is high and escalate for human review when it is not. TypeSafe reports roughly 193x faster and 444x cheaper performance on System One workloads compared with general-purpose LLMs.
Jev outputs typed decisions that application code can act on directly, rather than prose that must be parsed and interpreted.
Every decision carries an estimate of how confident the model is, so you can set thresholds for autonomous action versus human escalation.
TypeSafe reports Jev at roughly 193x faster and 444x cheaper than LLM-based workflows on comparable System One tasks, with a price of $42 per billion input tokens.
Because confidence estimates expose uncertainty, Jev is designed to avoid hallucination-style failures in automation, enabling zero-hallucination decision paths where confidence is high.

Google 的快速原型开发 IDE 与开发者 API 工作台,用于构建基于 Gemini 模型的多模态应用。

专项更强Enables instant cloud-based full-stack app building from natural language, but is less suited for local offline repositories.

免费 / 开源拥有无与伦比的插件支持和官方 Copilot 集成,但缺乏 Cursor 那种开箱即用的深度代码库索引和智能代理编辑功能。
专项更强Operates as a fully autonomous software engineer for complex tasks, but lacks the snappy interactive inline editing of Cursor.
免费 / 开源会学习你编码品味的 AI 编程智能体