SDLC AI Assisted-SDLC Guidance, Coding to Testing

Example

Facilitating the collection of functional and non-functional requirements through interactive questioning and scenario analysis.

Scenario

In a new e-commerce platform development, SDLC AI Assisted could guide the project team in identifying key features like user registration, product catalog, and payment gateway integration, ensuring all stakeholder expectations are considered.

Example

Providing guidance on best practices for system architecture, database design, and user interface design, including UML modeling and prototype recommendations.

Scenario

For a healthcare management system, the AI could suggest a modular architecture to handle patient records, appointments, and billing separately, enhancing system maintainability and scalability.

Example

Offering advice on coding standards, version control, and development methodologies (e.g., Agile, Waterfall) tailored to the project's needs.

Scenario

In developing a mobile application, it could recommend Agile methodologies for iterative development and frequent feedback, along with best practices for responsive design and cross-platform compatibility.

Example

Guiding the creation of test cases, automated testing strategies, and continuous integration to ensure software quality and reliability.

Scenario

For a financial reporting tool, the AI could help define test cases for data accuracy, security, and performance under load, integrating these into an automated CI/CD pipeline.

Example

Advising on deployment strategies, including cloud services, containerization, and monitoring tools for ongoing maintenance and updates.

Scenario

For a SaaS platform, it might suggest containerization with Docker for ease of deployment across different environments and Kubernetes for orchestration and scalability.