AI-Augmented Coder Workshop (AIACW)

Module 1: Introduction to AI for Software Programmers (30 minutes)

• Definition and types of AI: Narrow AI vs. General AI.
• Brief history of AI in software development.
• Overview of AI's role and potential in software development.
• Introduction to AI tools: Bard, ChatGPT, GitHub Copilot, etc.

Module 2: Ethical and Legal Implications of Code Reuse in AI-Assisted Development (30 minutes)

• Legal frameworks and code reuse: commercial, open-source, and unlicensed code.
• Ethical considerations in training AI models with coding samples.
• Discussion on proprietary code and inadvertent reuse in AI models.

Module 3: AI in the Initial Stages of Software Development (1 hour 30 minutes)

• Ideation and Conceptualization with AI:
  • AI tools for brainstorming and conceptualizing software ideas.
  • AI assistance in generating and refining project requirements.
• Design and Planning:
  • AI in architecture design and technology stack selection.
  • AI tools for UI/UX design concepts and mock-ups.
• Hands-on activity: Using AI tools for generating project plans and design documents.

Module 4: AI in the Development and Post-Development Phases (1 hour 40 minutes)

• Coding with AI Assistance:
  • Using AI for coding tasks (e.g., GitHub Copilot for writing functions).
  • AI in generating code snippets and providing autocomplete suggestions.
  • Testing and Quality Assurance:
  • AI for generating test cases and identifying security vulnerabilities.
  • Detecting code smells with AI tools.
• Deployment and Maintenance:
  • AI-assisted monitoring and error detection.
  • AI in predictive maintenance and performance analysis.
• Hands-on activity: Engaging with AI for coding, testing, and maintenance tasks.

Module 5: Case Studies, Best Practices, and Ethical Considerations (1 hour)

• Case Studies: Real-world examples across the software development lifecycle.
• Best Practices: Integrating AI in software development stages.
• Ethical Considerations Recap: Revisiting the implications of AI in software development.

Conclusion (30 minutes)

• Recap of the key points covered.
• Q&A session.
• Resources for further learning.
• Provision of downloadable resources or cheat sheets.

Hands-on Activities may include: Building an AI-Assisted Chatbot

• Project Overview:
  • Objective: Create a chatbot that can handle customer inquiries, provide information, and perform basic tasks like booking appointments or answering FAQs.
  • Technologies: Python for backend (using libraries like Flask), AI services (like OpenAI's GPT for natural language processing), and JavaScript for frontend integration if needed.
• Initial Setup and Planning:
  • GitHub Copilot Assistance: Suggesting the project structure, initial Flask setup, and dependencies required.
  • Task: Create a basic web server setup with Flask.
• Integrating Chatbot with AI Services:
  • Objective: Connect the chatbot with an AI service like OpenAI's GPT-3 for natural language understanding and response generation.
  • GitHub Copilot Assistance: Providing code snippets for integrating the OpenAI API, handling API requests, and processing responses.
• Building Chat Functionalities:
  • Objective: Develop functionalities such as user query processing, response generation, and context management.
  • GitHub Copilot Assistance: Generating code for parsing user input, managing chat sessions, and generating contextual responses.
• Frontend Integration:
  • Objective: Create a simple and user-friendly interface for the chatbot.
  • GitHub Copilot Assistance: If using a web frontend, Copilot can assist in writing JavaScript or TypeScript code to handle user inputs and display responses. It can
  • also suggest frameworks or libraries for UI components.
• Testing and Refining:
  • Objective: Test the chatbot for various scenarios and improve its accuracy and user interaction.
  • GitHub Copilot Assistance: Generating test cases, especially for edge cases in conversation flows, and suggesting improvements in code for handling unexpected user inputs.
• Advanced Features (Optional):
  • Objective: Add advanced features like voice recognition, multilingual support, or integration with external services (e.g., calendars for booking appointments).
  • GitHub Copilot Assistance: Providing code examples and API integration snippets for these advanced features.
• Deployment:
  • Objective: Deploy the chatbot on a server or cloud platform.
  • GitHub Copilot Assistance: Suggesting deployment scripts, Docker container configurations, or cloud deployment procedures.