Course Outline

Introduction to Vibe Coding for Government

  • Definition and historical context of vibe coding
  • The philosophy of "prompt-to-code" collaboration in government operations
  • How AI 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 coders in a government context
  • Deploying LLMs locally or via APIs for government applications

Prompt Engineering for Developers in Government

  • Effective prompting techniques for generating and refactoring code in government projects
  • Context management and conversation state handling for government tasks
  • Creating reusable prompt templates for coding tasks specific to government needs

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 development
  • Customizing workflows to enhance team collaboration within government agencies

Code Quality and Validation in AI Workflows for Government

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

Enterprise Integration and Governance for Government

  • Scaling vibe coding across teams within government agencies
  • AI governance, ethics, and compliance in code generation for government projects
  • 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 applications
  • Integrating vibe coding with CI/CD automation for government projects
  • 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 operations

Summary and Next Steps for Government

Requirements

  • An understanding of software development processes for government
  • Experience with Python, JavaScript, or another modern programming language
  • Familiarity with Git-based version control systems

Audience

  • Software engineers exploring AI-assisted development for government projects
  • Engineering leads overseeing the adoption of AI in coding workflows within government agencies
  • Enterprise development teams seeking to integrate large language models (LLMs) into production pipelines for government initiatives
 21 Hours

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