工具简介
testrigor.com 属于「开发者工具与 API」方向的 AI 产品，基础功能免费开放，覆盖网页端。官网地址 testrigor.com。
如何使用
- 打开 testrigor.com 并注册账号，了解可用的能力与配额
- 按文档创建项目或获取访问凭证
- 在本地或测试环境按示例完成一次最小调用
- 验证通过后接入正式项目，逐步扩大使用范围
查看官网原文（英文）
以下为收录时的原文，语言与页面不同，未做翻译。
testRigor is an AI‑driven, no‑code test automation platform that turns plain‑English instructions into end‑to‑end tests for web, mobile, desktop, API, and mainframe. It records real‑user interactions, supports cross‑browser validation, CI/CD integration, and self‑healing for low‑maintenance, reliable testing.
官网介绍
Test automation tool - testRigor. Automated software testing for end-to-end test cases using plain English. Looking for software testing tools? Contact us now!
官网要点
- Generative AI in Software Testing
- Generative AI-Based Testing Certification
- Test Automation Blueprint
- #1 Generative AI-based Test Automation Tool
- test automation tools
- Test Automation Tool
官方常见问题
- How is testRigor's test automation different from Selenium?
- Tests are automatically generated based on our AI's mirroring of how your end users are using your application in your production environment. In addition, tests are produced to map your most important functionality out of the box. This is achieved by using our JavaScript library in your production environment to capture metadata around your users’ habits within your app. We use this metadata t
- How are you different from Cucumber/Gherkin?
- You can think of testRigor as Cucumber already implemented for your project. We have eliminated the need to write and maintain any underlying Selenium code, as our system uses an NLP-based parser to parse plain English and executes your specifications in place.
- What are your end-to-end tests actually testing for?
- Acceptance-level functional UI-level regression tests. We test that functionality works via UI. For example, for Amazon we would test that a person can successfully purchase a product from log in to purchase confirmation.
- What do you test well?
- Our system is particularly adept at testing form-based UI or functionality that has a predictable input/output. A few other strengths unique to our tool are… 1. …cases that require multiple users to interact be the same flow be it via email, SMS, or instant messages. 2. …cases built for platforms with constantly changing code and HTML IDs. 3. …complex flows that need to combine actions like image
- What don't you test well?
- We don't test games.
编程与调试 · 常用提示词
下面这些都能直接复制，把里面的变量换成你自己的情况就能用。
- Monorepo 规划：先决定「拆不拆」，再决定怎么拆给出现有仓库结构，判断是否值得上 monorepo，以及包边界怎么划。
- CI/CD 流水线：把「能跑」变成「跑得对」从 lint/test/build/deploy 四段设计流水线，含缓存、并行、失败即停的取舍。
- 跨语言迁移：把 Java 服务改成 Go 时该保留什么迁移不是逐行翻译，先划出「必须等价」的语义，再决定哪些能简化。
同类工具怎么选
下面是同一类目下已经写好的对比与替代清单。读完这个工具能做什么，接着看它和谁比、有没有更顺手的方案。
开发者工具与 API类工具的对比
- 扣子、n8n的对比扣子和 n8n 对比：搭建门槛、模型接入、系统集成能力、数据合规与部署方式，附选型结论与组合用法。
- Manus、扣子的对比Manus 和扣子的横向对比：任务执行、可视化编排、渠道发布、可复用性，附选型结论。
- Dify、扣子的对比Dify 和扣子的横向对比：私有化部署、模型自由度、零代码编排、渠道发布，附选型结论。
编程开发类工具的国内替代
- Devin 国内替代Devin 主打「给一个任务、自己去改代码库」。这类自主 Agent 国内已有对应形态，但能力边界差别很大：有的只能改单文件，有的能跑测试。这份清单说明各自能接住多少工作量。
- Tabnine 国内替代Tabnine 的卖点是「可私有部署的补全」。这类需求在国内同样存在，尤其在代码不能出内网的环境里。这份清单给出可本地跑、或对私有仓库友好的补全工具，并说明各自的实际门槛。
- Amazon Q Developer 国内替代Amazon Q Developer 强在和 AWS 生态绑定：查文档、改配置、迁移版本都能在控制台里完成。不上 AWS 的团队用它价值有限。这份清单给出国内云与本地开发场景的对应选择。
对比结论与替代建议为编辑整理，价格与额度以各工具官网为准。