Construction Phase

The Construction phase transforms your validated requirements into working code through AI-driven development and testing. You'll achieve a fully functional application ready for deployment.

The Construction phase focuses on the Mob Programming and Mob Testing rituals:

• AI models the core business logic for the assigned Unit using Domain-Driven Design  principles. Example: For the "Recommendation Algorithm" Unit, AI identifies relevant entities like Product, Customer, and Purchase History and their relationships.

• The team reviews and validates the domain models, refining business logic and ensuring alignment with real-world scenarios (e.g., how to handle missing purchase history for new customers)

• AI translates the domain models into logical designs, applying Non-Functional Requirements (NFRs) like scalability and fault tolerance. Example: AI recommends architectural patterns (e.g., event-driven design) and technologies (e.g., AWS Lambda for serverless computation).

• The team evaluates AI’s recommendations, approves trade-offs, and suggests additional considerations if needed. An example may be that you accept a recommendation to use Lambda for scalability, but you override the suggestion to use DynamoDB for fast query performance.

• AI generates executable code for each Unit, mapping logical components to specific AWS services.

• AI auto-generates functional, security, and performance tests (e.g., For the "Recommendation Algorithm" Unit, AI creates code to implement collaborative filtering and integrates it with a DynamoDB data source)

• The team reviews the generated code and test scenarios/cases, making adjustments where necessary to ensure quality and compliance.

Once the Construction phase is complete, you'll move onto the Operations phase.