Construction Phase

Overview

The Construction Phase represents the core development stage of the AI-DLC methodology, where the units defined during the Inception Phase are transformed into tested, operations-ready deployment units. This phase leverages AI extensively for code generation, testing, and quality assurance while maintaining human oversight for validation and refinement.

The Construction Phase follows an iterative approach through "Bolts" - rapid development cycles designed for high-velocity delivery. AI assists in domain design, code generation, automated testing, and continuous integration processes, enabling developers to focus on validation, refinement, and ensuring alignment with business objectives.

Module Objectives

Construction Phase Goals:

Experience AI-assisted coding and development workflows
Implement automated testing with AI-generated test cases
Practice continuous integration and code review processes
Build working software demonstrating AI-DLC benefits

Session Structure

2.1: AI-Assisted Development Setup

Key Techniques Covered:

IDE integration with AI coding assistants
Version control best practices for AI-assisted development
Code collaboration and review processes
Development workflow optimization

Deliverables:

Configured development environment
Initialized code repository
Team development workflow documentation

2.2: Core Feature Implementation

Key Techniques Covered:

AI-powered code completion and generation
Intelligent code refactoring and optimization
Bug detection and resolution with AI assistance
Code quality improvement techniques

Deliverables:

Working core application features
Comprehensive code documentation
Unit tests for implemented functionality

2.3: Testing and Quality Assurance

Key Techniques Covered:

Test-driven development with AI assistance
Automated test generation and execution
Code coverage analysis and improvement
Performance profiling and optimization

Deliverables:

Comprehensive test suite
Code quality metrics and reports
Performance benchmarks and optimizations

Key Development Practices

AI-Assisted Code Generation

Context-aware code completion using Kiro CLI
Intelligent suggestions for design patterns and best practices
Automated refactoring and code optimization
Real-time code quality analysis and recommendations

Continuous Integration Workflow

Automated build and test execution
AI-powered code review and feedback
Integration testing with external services
Deployment pipeline preparation

Quality Assurance

Automated test case generation based on requirements
Performance testing and optimization recommendations
Security vulnerability scanning and remediation
Code coverage analysis and improvement suggestions

Key Outcomes

By the end of this module, participants will have:

Working Software: Functional application demonstrating core features
Quality Codebase: Well-tested, documented, and optimized code
CI/CD Pipeline: Automated build, test, and deployment processes
Performance Metrics: Benchmarks and optimization strategies
Development Expertise: Hands-on experience with AI-assisted development

Next Steps

Upon completion of the Construction Phase, teams will transition to the Operations Phase with:

Tested and validated deployment units
Comprehensive documentation and test coverage
Established CI/CD pipelines
Performance baselines and monitoring strategies
Operational readiness for production deployment

Event information

During the event

Follow the steps in the workshop guide using your own or a Workshop Studio provided AWS account.

Workshop Studio provided AWS accounts

You may be provided with a pre-provisioned AWS account for use during the event. The IAM role that we have provided has limited permissions, which will restrict you to the services and API calls required for the event. These accounts are temporary and access will be revoked after the session, at which time all resources will be deleted.

Ways to access your Workshop Studio provided account

There are a couple ways to access the provided AWS account.

Federated login link: A one-click login to the AWS console. Use the Open AWS console link under the main side navigation AWS account access section.
AWS CLI credentials: Shell environment variables needed to make API calls using the AWS CLI. Use the Get AWS CLI credentials link under the main side navigation AWS account access section.
EC2 SSH key: SSH key pair required to access an Amazon EC2 instance provisioned for the event. Use the Get EC2 SSH key link under the main side navigation AWS account access section.