Course Outline
Day 1 Outline
Module 1 — Introduction to Claude Code & AI-Assisted Engineering for Government
• Overview of Claude Code compared to traditional AI tools
• Utilizing AI agents in software engineering processes
• Enhancing productivity and workflow optimization through AI
• Exploring the AI-assisted development lifecycle
• Addressing risks, limitations, and the importance of human oversight
• Live practical demonstrations
Module 2 — Prompt Engineering Fundamentals for Government
• Elements of an effective prompt
• Zero-shot versus few-shot prompting techniques
• Iterative prompting strategies
• Fundamentals of prompt chaining
• Structured outputs and formatting requirements
• Methods for verifying and improving prompt quality
Module 3 — Prompting for Software Development for Government
• AI-assisted code generation and refactoring
• Debugging techniques with AI support
• Generating documentation using AI
• Conducting pull request reviews with AI assistance
• Understanding legacy code through AI
• Ensuring the safety and maintainability of AI-generated code
Module 4 — Prompting for Testing & Quality Assurance for Government
• Generating test cases using AI
• Analyzing edge cases with AI assistance
• Designing automation-ready tests
• AI-assisted defect analysis methods
• Creating Gherkin and test scenarios
• Implementing quality verification workflows
Module 5 — Prompting for Agile Collaboration for Government
• Crafting user stories and acceptance criteria with AI
• Refining requirements through AI assistance
• Enhancing agile communication support
• Summarizing stakeholder needs
• Assisting in retrospective meetings
• Preparing backlogs for refinement
Module 6 — Responsible AI, Security & Verification for Government
• Addressing hallucinations and other AI risks
• Ensuring confidentiality and secure prompting practices
• Principles of AI governance
• Developing verification checklists
• Awareness of prompt injection vulnerabilities
• Defining human review responsibilities
Module 7 — Team Prompt Lab for Government
• Creating reusable team prompts
• Implementing role-specific AI workflows
• Sharing and peer-reviewing prompts within the team
• Establishing a version 1 Team Prompt Library
• Engaging in interactive collaborative exercises
Day 2
Module 1 — Advanced Capabilities of Claude Code for Government
• Utilizing CLAUDE.md for persistent project context
• Automating AI workflows
• Employing best-of-N generation strategies
• Developing reusable AI commands
• Applying context engineering techniques
• Enhancing AI-assisted engineering workflows
Module 2 — Advanced Prompt Engineering Techniques for Government
• Implementing chain-of-thought prompting
• Exploring multimodal prompting methods
• Using constraint-based prompting
• Advanced prompt chaining techniques
• Managing large-context scenarios
• Designing conversational engineering workflows
Module 3 — Version Control, Parallel Development & Multi-Agent Workflows for Government
• Strategies for Git integration
• Developing parallel AI development workflows
• Utilizing worktrees and isolated AI tasks
• Orchestrating multi-agent workflows
• Implementing human-in-the-loop checkpoints
• Conflict management strategies in multi-agent environments
Module 4 — Architecture, MCP & Advanced DevOps for Government
• Understanding the Model Context Protocol (MCP)
• Integrating Claude with external tools
• Conducting AI-assisted architecture analysis
• Creating Architecture Decision Records (ADR)
• Troubleshooting CI/CD pipelines with AI assistance
• Developing incident postmortems and operational workflows
Module 5 — Scaling Claude Code & Codebase Health for Government
• Managing tokens and context in large-scale projects
• Designing AI-friendly project structures
• Ensuring long-term codebase maintainability
• Automating documentation processes
• Implementing AI scalability strategies
• Establishing team-wide engineering workflows
Module 6 — Capstone: Define Your Claude Code Process for Government
• Designing scalable AI-assisted workflows
• Combining prompts, commands, and context files effectively
• Developing a comprehensive team AI process
• Implementing cross-role collaboration models
• Creating workflow blueprints for efficient operations
Module 7 — Advanced Team Prompt Lab for Government
• Advancing the development of a team prompt library
• Designing complex role-specific workflows
• Validating prompts in real-world scenarios
• Engaging in cross-team collaboration exercises
• Establishing version 2 of the Team Prompt Library
Requirements
Day 1 — Foundation
• General understanding of software delivery processes for government
• Basic knowledge of development, testing, or agile methodologies
• Recommended access to Claude for hands-on exercises
Day 2 — Advanced
• Completion of Day 1 (or equivalent experience)
• Previous exposure to Claude Code and prompt engineering concepts
• Fundamental Git skills
• Familiarity with CI/CD principles is advisable