Course Outline

Introduction to Vibe Coding for Government

  • Definition and historical context of vibe coding
  • The philosophy of "prompt-to-code" collaboration in the public sector
  • How AI-assisted coding differs from traditional development practices for government

Large Language Models in Coding for Government

  • Overview of LLMs for developers: GPT-4, DeepSeek, Qwen, Mistral
  • Comparing open-source and proprietary AI coding solutions
  • Deploying LLMs locally or via APIs in government environments

Prompt Engineering for Developers in Government

  • Effective prompting techniques for generating and refactoring code
  • Managing context and conversation state in AI interactions
  • Creating reusable prompt templates for coding tasks in public sector projects

Hands-on Vibe Coding Environments for Government

  • Using Replit for collaborative AI coding in government settings
  • Integrating GitHub Copilot and Qwen Coder into IDEs for government use
  • Customizing workflows to enhance team collaboration for government projects

Code Quality and Validation in AI Workflows for Government

  • Reviewing and testing LLM-generated code for compliance with government standards
  • Ensuring consistency, maintainability, and security in government applications
  • Integrating code validation tools into the development workflow for government projects

Enterprise Integration and Governance for Government

  • Scaling vibe coding across government teams
  • AI governance, ethics, and compliance in code generation for government use
  • Designing organizational frameworks for AI-assisted development in the public sector

Advanced Topics: Extending Vibe Coding for Government

  • Combining multiple LLMs for hybrid AI workflows in government projects
  • Integrating vibe coding with CI/CD automation for government applications
  • Future trends: multi-agent development ecosystems for government use

Team Project and Collaboration for Government

  • Designing a real-world AI-assisted coding project for government agencies
  • Collaborating with human and AI developers in government settings
  • Presenting results and measuring productivity gains for government projects

Summary and Next Steps for Government

 21 Hours

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