AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
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저장소 README에서 가져옴
README 전체를 불러오는 중입니다. 아래는 저장된 발췌입니다.
This project was generated using Angular CLI version 20.0.1.
To start a local development server, run:
Once the server is running, open your browser and navigate to http://localhost:4200/. The application will automatically reload whenever you modify any of the source files.
Angular CLI includes powerful code scaffolding tools. To generate a new component, run:
For a complete list of available schematics (such as components, directives, or pipes), run:README 전문 보기 ↗This project was generated using Angular CLI version 20.0.1.
To start a local development server, run:
ng serve
Once the server is running, open your browser and navigate to http://localhost:4200/. The application will automatically reload whenever you modify any of the source files.
Angular CLI includes powerful code scaffolding tools. To generate a new component, run:
ng generate component component-name
For a complete list of available schematics (such as components, directives, or pipes), run:
ng generate --help
To build the project run:
ng build
This will compile your project and store the build artifacts in the dist/ directory. By default, the production build optimizes your application for performance and speed.
To execute unit tests with the Karma test runner, use the following command:
ng test
For end-to-end (e2e) testing, run:
ng e2e
Angular CLI does not come with an end-to-end testing framework by default. You can choose one that suits your needs.
For more information on using the Angular CLI, including detailed command references, visit the Angular CLI Overview and Command Reference page.