Event 3

AI-Driven Development Life Cycle

Event Information

Date: Friday, October 3, 2025
Time: 2:00 PM – 4:30 PM
Location: AWS Event Hall, L26 Bitexco Tower, HCMC
Speakers: Toan Huynh, My Nguyen
Coordinators: Diem My, Dai Truong, Dinh Nguyen
Role: Attendee

Event Overview

Workshop exploring how generative AI transforms the software development lifecycle through Amazon Q Developer and Kiro AI assistant.

Key Topics

Amazon Q Developer (2:15 – 3:30 PM) Speaker: Toan Huynh

  • AI-Driven Development Lifecycle:

    • Planning & Architecture: AI-assisted design
    • Development: Code generation from natural language
    • Testing: Automated test generation
    • Deployment: IaC generation
    • Maintenance: Documentation and modernization

  • Key Capabilities:

    • Code generation with context awareness
    • Code explanation and documentation
    • Debugging assistance
    • AWS integration (Lambda, CloudFormation, CDK)

  • Live Demos:

    • REST API endpoint generation
    • Algorithm explanation
    • Unit test creation
    • Code refactoring
    • AWS infrastructure code

Kiro AI Assistant (3:45 – 4:30 PM) Speaker: My Nguyen

  • Core Features:

    • Intelligent code completion
    • Multi-file understanding
    • Project-level intelligence
    • Automated refactoring
    • Documentation generation

  • Productivity Gains:

    • 40% faster code writing
    • 60% reduction in boilerplate
    • 50% less time on documentation
    • 30% fewer initial bugs

  • Live Demos:

    • Smart code completion
    • Multi-file refactoring
    • Bug detection and fixing
    • Test generation
    • Documentation automation

Key Takeaways

AI-Driven Development:

  • AI transforms every phase of development lifecycle
  • Automation frees developers for creative work
  • Productivity gains are substantial and measurable
  • Quality improves through consistent patterns

Amazon Q Developer:

  • Powerful for AWS-centric development
  • Natural language to code is highly effective
  • Security and best practices built-in
  • Multi-language support

Kiro:

  • Excels at project-level understanding
  • Context awareness enhances suggestions
  • Multi-file operations save significant time
  • Customizable to team standards

Best Practices:

  • Provide clear context in prompts
  • Review and understand generated code
  • Iterate and refine suggestions
  • Maintain security awareness
  • Use for learning and skill development

Next Steps:

  • Install Amazon Q Developer and Kiro
  • Integrate into daily workflow
  • Measure productivity improvements
  • Share learnings with team

Event Photos

Rating: ⭐⭐⭐⭐⭐ (5/5)

Eye-opening demonstration of how AI tools are revolutionizing software development with practical productivity gains.