概览
主要功能
- 自然语言测试创建
- AI 驱动的自愈定位器
- 对 Salesforce 元数据和 DOM 的感知
- CI/CD 与流水线集成
- 覆盖 Sales、Service 以及自定义 Lightning 应用
- 可复用的测试流程和数据设置
价格
- 模型
- $25
- 评分
- 4.7 / 5 (6)
使用场景
Automate Salesforce Regression Testing
QA teams create end-to-end regression suites using plain language and self-healing locators to ensure test stability across frequent Salesforce releases and sandbox refreshes.
No-Code Testing for Administrators
Salesforce administrators without coding skills can use natural language to create and maintain tests for Sales, Service, and custom Lightning apps, instead of using brittle scripts.
CI/CD Release Validation
Integrate into existing pipelines to automatically validate Salesforce changes before deployment, shortening release cycles and catching UI or metadata regressions early.
Stable Tests Across Org Changes
Teams managing heavily customized orgs use metadata- and DOM-aware AI to adapt tests when custom objects, fields, or Lightning components change, reducing maintenance overhead.
优点 & 缺点
优点
- No-code test authoring using natural language
- Self-healing tests reduce maintenance workload
- Prepared specifically for handling Salesforce complexity
- Faster regression cycles for frequent releases
缺点
- Limited to Salesforce-centric use cases
- Less control for teams that prefer code-based frameworks
- Need to fine-tune AI behavior for complex workflows
评测
6 个评分的平均值。
登录以留下评测。
Solid for our team
We rolled this out across the team last quarter and faster regression cycles for frequent releases. Reusable test flows and data setup fits neatly into how we already work, and coverage for Sales, Service, and custom Lightning apps removed a step we used to do by hand. but it has held up under daily use.
Solid for our team
We rolled this out across the team last quarter and no-code test authoring in natural language. Reusable test flows and data setup fits neatly into how we already work, and natural language test creation removed a step we used to do by hand. Limited to Salesforce-centric use cases, which is the main caveat, but it has held up under daily use.
Solid for our team
We rolled this out across the team last quarter and purpose-built for Salesforce complexity. Natural language test creation fits neatly into how we already work, and reusable test flows and data setup removed a step we used to do by hand. but it has held up under daily use.
Solid for our team
We rolled this out across the team last quarter and self-healing tests reduce maintenance work. Natural language test creation fits neatly into how we already work, and natural language test creation removed a step we used to do by hand. AI behavior may need tuning for complex flows, which is the main caveat, but it has held up under daily use.
Use it every day
Honestly didn't expect to like it this much. Coverage for Sales, Service, and custom Lightning apps is exactly what I needed, and no-code test authoring in natural language. but I reach for it almost every day now and it just clicks.
Does the job
Pretty happy overall. CI/CD and pipeline integration just works and no-code test authoring in natural language. Limited to Salesforce-centric use cases can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.
问答
暂无问题 — 来当第一个提问的人吧。
提问
Software Engineering 的替代品
cubic
Software Engineering
AI 代码审查,加速 Pull Request 并在代码上线前捕获 Bug。
TRAE
Software Engineering
让代码实现自动化的智能软件工程师
Pythagora
Software Engineering
通过自然语言指令构建并部署全栈Web应用的AI平台
PureCode AI
Software Engineering
了解、维护和现代化遗留代码库的 AI 辅助工具
NOFire AI
Software Engineering
预防性意外事件的前瞻性预防和软件团队的快速根本原因分析
Windsurf
Software Engineering
以 AI 为中心的代码编辑器,旨在让开发者一直处于连续的工作状态中。
Potpie
Software Engineering
理解你的代码库的AI代理,来自动化工程任务
Tempo
Software Engineering
AI辅助的构建器,帮助在一个工作区内从设计到代码快速上线 React 应用。











