本章节我将会使用 Spec Coding 初始化测试神器,暂时起名为 “智能测试平台”。
首先简单科普下什么叫 Spec Coding。
Spec Coding(规范编码)是一种先写明确规范,再生成代码的开发方式。你可以把它理解为 “先画详细图纸,再按图施工” 的软件工程方法。
然后我使用的工具是 Amazon 的 Kiro,这是 Spec Coding 起源的一款 AI 代码生成工具。当然你可以使用更多别的优秀工具,例如 Trae、Claude Code 等等。
接下来开始我们的 “绘画” 之旅。
第一步:简单描述自己的需求,让 Kiro 生成有效的 Spec
我这边使用的是这么一段提示词:
“请作为一名资深的测试开发工程师,为我搭建一个包含智能体的综合性的应用测试平台。需要包含以下几个模块:
基本的用户管理,测试用例管理,API 自动化测试管理(可以进行调试的接口管理,类似于 Postman),UI 自动化测试管理(Playwright),AI 智能体(可以通过 Chatbox 进行对话,对话可以生成、执行测试用例等)。
我希望的是一个前后端分离的项目,前端使用 React + Tailwind CSS + TypeScript,后端使用 Python + FastAPI 框架,测试数据库使用本地最快捷的数据库即可。”
大家可以以这作为参考,也可以让 AI 工具(例如 DeepSeek)帮你去生成规范的提示词。主要去体现你所想要创造应用的想法,例如我们作为测试工程师,我们需要一个平台去管理我们所有的测试效果,并结合主流,能够用 AI 智能体全程辅助我们。
第二步,检查 Kiro 给我们生成的 Spec 文档。
'''
Requirements Document
Introduction
The AI Testing Platform is a comprehensive web-based application that enables software testing teams to manage test cases, execute automated tests, and leverage AI agents for intelligent test generation and execution. The platform provides a modern interface for test management with integrated API and UI automation capabilities, supported by conversational AI assistance.
Glossary
-
Testing Platform: The complete web application system for test management and execution
-
AI Agent: An intelligent assistant powered by LangChain that can generate, execute, and analyze test cases through natural language conversation
-
Test Case: A documented set of conditions, inputs, and expected results for validating software functionality
-
API Automation Test: Automated tests that validate REST API endpoints and their responses
-
API Test Collection: A group of related API tests that can be organized and executed together as a suite
-
API Test Management: System for creating, editing, organizing, and debugging individual API tests
-
UI Automation Test: Automated tests that interact with web user interfaces using Playwright
-
Test Suite: A collection of related test cases that can be executed together
-
Test Execution: The process of running automated tests and collecting results
-
User Management System: Authentication and authorization system for platform access
-
Frontend Client: React-based web interface using TypeScript and Tailwind CSS
-
Backend API: FastAPI-based REST API server using Python
-
Local Database: SQLite database for fast, convenient local data storage
Requirements
Requirement 1
User Story: As a test manager, I want to manage user accounts and permissions, so that I can control access to the testing platform and maintain security.
Acceptance Criteria
- WHEN a user registers with valid credentials THEN the User Management System SHALL create a new user account and store encrypted credentials
- WHEN a user attempts to log in with correct credentials THEN the User Management System SHALL authenticate the user and provide access tokens
- WHEN a user attempts to log in with incorrect credentials THEN the User Management System SHALL reject the login and maintain security logs
- WHEN an authenticated user accesses protected resources THEN the User Management System SHALL validate permissions and grant appropriate access
- WHEN user session expires THEN the User Management System SHALL require re-authentication before allowing further access
Requirement 2
User Story: As a test engineer, I want to create and manage test cases, so that I can organize my testing activities and maintain test documentation.
Acceptance Criteria
- WHEN a user creates a new test case with required fields THEN the Testing Platform SHALL store the test case and assign a unique identifier
- WHEN a user searches for test cases using keywords THEN the Testing Platform SHALL return matching test cases ordered by relevance
- WHEN a user updates an existing test case THEN the Testing Platform SHALL save changes and maintain version history
- WHEN a user deletes a test case THEN the Testing Platform SHALL remove the test case and update related test suites
- WHEN a user organizes test cases into suites THEN the Testing Platform SHALL maintain suite relationships and enable bulk operations
Requirement 3
User Story: As an API tester, I want to create and manage individual API tests, so that I can validate REST endpoints and debug issues efficiently.
Acceptance Criteria
- WHEN a user creates a new API test with endpoint details THEN the Testing Platform SHALL store the test configuration with method, URL, headers, and body parameters
- WHEN a user executes a single API test THEN the Testing Platform SHALL send the HTTP request and capture detailed response data
- WHEN API test execution completes THEN the Testing Platform SHALL validate responses against expected criteria and display results
- WHEN a user debugs an API test THEN the Testing Platform SHALL provide detailed request/response inspection with timing and error information
- WHEN a user edits an API test THEN the Testing Platform SHALL save changes and maintain test history for comparison
Requirement 4
User Story: As an API tester, I want to organize API tests into collections and execute them as suites, so that I can run comprehensive API validation workflows.
Acceptance Criteria
- WHEN a user creates an API collection THEN the Testing Platform SHALL allow grouping of related API tests with collection metadata
- WHEN a user executes an API collection THEN the Testing Platform SHALL run all tests in the collection sequentially and aggregate results
- WHEN collection execution completes THEN the Testing Platform SHALL provide summary statistics and detailed results for each test
- WHEN a user manages collections THEN the Testing Platform SHALL support adding, removing, and reordering tests within collections
- WHEN collections are shared THEN the Testing Platform SHALL enable import/export functionality similar to Postman collections
Requirement 5
User Story: As a UI tester, I want to create and execute UI automation tests using Playwright, so that I can validate web application functionality through automated browser interactions.
Acceptance Criteria
- WHEN a user creates a UI test with browser actions THEN the Testing Platform SHALL store the test script and configuration
- WHEN a user executes a UI test THEN the Testing Platform SHALL launch Playwright and perform browser automation
- WHEN UI test execution completes THEN the Testing Platform SHALL capture screenshots and generate detailed reports
- WHEN UI tests fail THEN the Testing Platform SHALL provide debugging information including element selectors and page state
- WHEN multiple UI tests run concurrently THEN the Testing Platform SHALL manage browser instances and prevent conflicts
Requirement 6
User Story: As a test engineer, I want to interact with an AI agent through a chat interface, so that I can get intelligent assistance with test generation and execution.
Acceptance Criteria
- WHEN a user sends a message to the AI Agent THEN the Testing Platform SHALL process the request using LangChain and provide relevant responses
- WHEN a user requests test case generation THEN the AI Agent SHALL analyze requirements and create appropriate test cases
- WHEN a user asks for test execution guidance THEN the AI Agent SHALL provide step-by-step instructions and best practices
- WHEN the AI Agent generates test code THEN the Testing Platform SHALL validate syntax and enable direct execution
- WHEN conversation history exists THEN the AI Agent SHALL maintain context and provide coherent follow-up responses
Requirement 7
User Story: As a system administrator, I want the platform to use a fast local database, so that development and testing can proceed without external dependencies.
Acceptance Criteria
- WHEN the Backend API starts THEN the Testing Platform SHALL initialize SQLite database connections and create required tables
- WHEN data operations are performed THEN the Local Database SHALL provide fast read/write access with ACID compliance
- WHEN the system stores test results THEN the Local Database SHALL persist data reliably and enable efficient queries
- WHEN database migrations are needed THEN the Testing Platform SHALL apply schema changes safely without data loss
- WHEN concurrent operations occur THEN the Local Database SHALL handle multiple connections and maintain data integrity
Requirement 8
User Story: As a developer, I want a clean separation between frontend and backend, so that the system is maintainable and scalable.
Acceptance Criteria
- WHEN the Frontend Client makes API requests THEN the Backend API SHALL respond with JSON data and appropriate HTTP status codes
- WHEN the Backend API processes requests THEN the system SHALL validate input data and enforce business rules
- WHEN frontend components render THEN the Frontend Client SHALL use TypeScript for type safety and Tailwind CSS for styling
- WHEN API endpoints are accessed THEN the Backend API SHALL implement proper CORS handling and security headers
- WHEN the system deploys THEN the Frontend Client and Backend API SHALL operate independently with clear interface contracts
Requirement 9
User Story: As a user, I want intuitive and well-designed pages for each platform function, so that I can efficiently navigate and use all testing features.
Acceptance Criteria
- WHEN a user accesses the login page THEN the Frontend Client SHALL display a clean authentication form with email, password fields, and branding
- WHEN a user views the dashboard page THEN the Frontend Client SHALL show test execution statistics, recent activity, and quick action buttons
- WHEN a user navigates to test case management THEN the Frontend Client SHALL display a searchable list with create, edit, and organize capabilities
- WHEN a user accesses API testing interface THEN the Frontend Client SHALL provide request builder, response viewer, and collection management similar to Postman
- WHEN a user opens UI automation testing THEN the Frontend Client SHALL show test script editor, browser preview, and execution controls
Requirement 10
User Story: As a user, I want consistent and responsive page layouts, so that the platform works well across different devices and screen sizes.
Acceptance Criteria
- WHEN pages render on desktop THEN the Frontend Client SHALL use responsive grid layouts with sidebar navigation and main content areas
- WHEN pages render on mobile devices THEN the Frontend Client SHALL adapt layouts with collapsible navigation and touch-friendly controls
- WHEN users interact with forms THEN the Frontend Client SHALL provide real-time validation feedback and clear error messages
- WHEN data tables display THEN the Frontend Client SHALL support sorting, filtering, and pagination for large datasets
- WHEN modal dialogs appear THEN the Frontend Client SHALL center content and provide accessible close mechanisms
Requirement 11
User Story: As a user, I want an integrated AI chat interface, so that I can get assistance without leaving my current workflow.
Acceptance Criteria
- WHEN the AI chat interface loads THEN the Frontend Client SHALL display a collapsible chat panel with conversation history
- WHEN users type messages THEN the Frontend Client SHALL provide typing indicators and message status updates
- WHEN AI responses include code THEN the Frontend Client SHALL render syntax-highlighted code blocks with copy functionality
- WHEN AI generates test cases THEN the Frontend Client SHALL provide options to save directly to test case management
- WHEN chat conversations are long THEN the Frontend Client SHALL implement scrolling with message timestamps and user avatars
Requirement 12
User Story: As a test engineer, I want to view comprehensive test execution reports, so that I can analyze test results and identify issues quickly.
Acceptance Criteria
- WHEN tests complete execution THEN the Testing Platform SHALL generate detailed reports with pass/fail statistics
- WHEN test failures occur THEN the Testing Platform SHALL capture error messages and stack traces for debugging
- WHEN viewing test history THEN the Testing Platform SHALL display trends and patterns across multiple executions
- WHEN exporting test results THEN the Testing Platform SHALL provide data in standard formats for external analysis
- WHEN real-time test execution occurs THEN the Testing Platform SHALL stream progress updates to the user interface
'''
从文档中不难发现,生成的需求比较专业,用的是 BDD 风格的写法,更利于去阅读与理解。 基本符合我对这款测试平台的初版要求。
总结一下, 在此章节中,Spec Coding 给我们提供了一个专业的产品经理,给我们提供了整个产品的需求文档,作为 “甲方” 的我们,可以快速与他确认需求。
当需求确认完后,将会进入下一章节,系统架构师出的设计文档。
↙↙↙阅读原文可查看相关链接,并与作者交流