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Software Engineering

VS Code as AI Command Centre

10 Modules
Chapter 9: Learning Objectives - Workshop 01 Morning: VS Code Setup90%

Learning Objectives - Workshop 01 Morning: VS Code Setup

Workshop Overview

Transform your computer into a professional AI command centre. By the end of this 3-hour session, you'll have a fully configured workspace that multiplies your productivity 10x.

Primary Learning Outcomes

By the end of this workshop, you will be able to:

1. Installation & Configuration (Core Skills)

You will be able to:

  • ✅ Install and configure VS Code on your operating system
  • ✅ Navigate the VS Code interface confidently
  • ✅ Install and manage extensions for your profession
  • ✅ Configure AI assistants (Continue, Copilot, or Codeium)
  • ✅ Set up development containers (optional but recommended)
  • ✅ Customize settings for your workflow

Success Criteria:

  • VS Code launches successfully
  • At least 5 essential extensions installed
  • AI assistant responds to prompts
  • Custom settings configured

2. AI Integration Mastery

You will be able to:

  • ✅ Connect multiple AI models to VS Code
  • ✅ Write effective prompts for content generation
  • ✅ Use AI for document enhancement and editing
  • ✅ Understand cost vs. benefit of different AI providers
  • ✅ Manage API keys and usage limits
  • ✅ Switch between AI models based on task

Success Criteria:

  • Successfully generated AI content
  • Used at least 3 different prompt styles
  • Can explain when to use different AI models
  • Configured cost tracking

3. Productivity Automation

You will be able to:

  • ✅ Create custom snippets for repetitive tasks
  • ✅ Use keyboard shortcuts fluently (minimum 10)
  • ✅ Leverage multi-cursor editing
  • ✅ Set up project templates
  • ✅ Automate file organization
  • ✅ Build reusable workflows

Success Criteria:

  • Created 3+ custom snippets
  • Use keyboard shortcuts instead of mouse
  • Organized project with template structure
  • Automated at least one repetitive task

4. Project Organization

You will be able to:

  • ✅ Create logical folder structures
  • ✅ Use workspace configurations
  • ✅ Implement file naming conventions
  • ✅ Link related documents
  • ✅ Manage multiple projects
  • ✅ Export and share configurations

Success Criteria:

  • Professional project structure created
  • Workspace settings configured
  • Files organized logically
  • Can navigate project efficiently

5. Real-World Application

You will be able to:

  • ✅ Complete a real project using new skills
  • ✅ Apply AI to actual work tasks
  • ✅ Measure productivity improvements
  • ✅ Troubleshoot common issues
  • ✅ Adapt workflow to your profession
  • ✅ Share knowledge with colleagues

Success Criteria:

  • Completed real project in under 30 minutes
  • Documented time savings
  • Can explain workflow to others
  • Identified 3+ use cases for your work

Detailed Skill Breakdown

Beginner Level (First Hour)

Knowledge:

  • Understand what VS Code is and isn't
  • Comprehend the extension ecosystem
  • Recognize benefits over web-based tools
  • Identify AI integration points
  • Know basic keyboard shortcuts

Skills:

  • Launch and navigate VS Code
  • Install extensions from marketplace
  • Open and edit files
  • Use basic AI prompts
  • Save and organize work

Mindset:

  • Overcome "this is for programmers" belief
  • Embrace trial and error
  • See AI as assistant, not replacement
  • Think in terms of efficiency gains

Intermediate Level (Second Hour)

Knowledge:

  • Understand snippet syntax
  • Comprehend workspace concepts
  • Know when to use different AI models
  • Recognize prompt patterns
  • Understand project organization principles

Skills:

  • Create custom snippets
  • Configure workspace settings
  • Write effective AI prompts
  • Use advanced editing features
  • Manage multiple files efficiently

Mindset:

  • Confidence in experimentation
  • Strategic thinking about automation
  • Quality over speed initially
  • Building sustainable workflows

Advanced Level (Third Hour)

Knowledge:

  • Master keyboard shortcuts
  • Understand advanced AI techniques
  • Know optimization strategies
  • Recognize collaboration patterns
  • Comprehend version control basics

Skills:

  • Execute complex multi-file operations
  • Optimize workflows for speed
  • Troubleshoot issues independently
  • Apply learning to novel situations
  • Teach basics to others

Mindset:

  • AI commander mentality
  • Continuous improvement focus
  • Sharing knowledge with others
  • Pushing boundaries of possible

Profession-Specific Objectives

For Academics & Researchers

You will be able to:

  • Create structured research documents
  • Generate literature review outlines
  • Manage citations and references
  • Build reusable methodology templates
  • Organize research projects efficiently

For Business Professionals

You will be able to:

  • Create professional proposals rapidly
  • Generate executive summaries
  • Build project documentation
  • Automate report creation
  • Manage client deliverables

For Creative Professionals

You will be able to:

  • Draft creative briefs quickly
  • Generate content variations
  • Organize portfolio materials
  • Create consistent brand documentation
  • Manage multiple projects

For Technical Writers

You will be able to:

  • Structure complex documentation
  • Generate API references
  • Create consistent formatting
  • Build documentation templates
  • Manage version-controlled docs

Assessment Criteria

Knowledge Assessment (10 points)

You will demonstrate understanding of:

  • Core VS Code concepts (2 points)
  • Extension ecosystem (2 points)
  • AI integration principles (2 points)
  • Project organization (2 points)
  • Workflow efficiency (2 points)

Practical Skills (15 points)

You will successfully:

  • Set up workspace quickly (3 points)
  • Create AI-enhanced content (4 points)
  • Build custom snippets (4 points)
  • Execute multi-file operations (4 points)

Application & Reflection (5 points)

You will:

  • Apply to real project (2 points)
  • Articulate value proposition (3 points)

Passing Score: 24/30 (80%)

Success Indicators

Immediate (End of Workshop)

  • VS Code fully configured
  • AI assistant working
  • First document created with AI
  • Custom snippets operational
  • Real project completed

Short-term (1 Week)

  • Using VS Code for all documents
  • Created 5+ AI-enhanced documents
  • Built personal template library
  • Saving 2+ hours per week
  • Shared with one colleague

Long-term (1 Month)

  • 10x productivity in documentation
  • Custom workflow fully optimized
  • Team adoption (if applicable)
  • Contributing to community
  • Exploring advanced features

Learning Pathways

Minimum Viable Outcome

Basic Proficiency:

  • VS Code installed and working
  • One AI assistant configured
  • Can create basic documents with AI
  • Understanding of core concepts
  • Confidence to continue learning

Target Outcome

Professional Competence:

  • Fully configured AI command centre
  • Multiple AI integrations
  • Custom automation workflows
  • Real productivity gains
  • Ready to teach others

Stretch Outcome

Advanced Mastery:

  • Optimized personal workflow
  • Advanced AI techniques mastered
  • Custom extensions or templates
  • Measurable ROI
  • Leading team adoption

Post-Workshop Goals

Immediate Next Steps

  • Review workshop materials
  • Complete any unfinished exercises
  • Apply to one real project
  • Document lessons learned
  • Set 30-day practice goals

Continuing Education

  • Join VS Code community
  • Explore advanced features
  • Continue to Phase 2 (Version Control)
  • Build professional template library
  • Share knowledge with colleagues

Measuring Success

Quantitative Metrics

Track these numbers:

  • Time saved per document: ___ minutes
  • Documents created per week: ___
  • AI prompts success rate: ___%
  • Keyboard shortcut usage: ___/10
  • Template reuse frequency: ___

Qualitative Indicators

Assess these factors:

  • Confidence level (1-10): ___
  • Enjoyment of workflow (1-10): ___
  • Quality of output (1-10): ___
  • Willingness to recommend (1-10): ___

Your Commitment

I Commit To:

  • Active participation in all exercises
  • Trying new approaches without fear
  • Asking questions when stuck
  • Applying learning to real work
  • Sharing knowledge with others
  • Continuous improvement over time

Workshop Promises To You:

  • ✅ Clear, step-by-step instructions
  • ✅ Real-world applicable skills
  • ✅ Supportive learning environment
  • ✅ Practical, not theoretical
  • ✅ Immediate productivity gains
  • ✅ Ongoing support resources

Ready to Begin?

These objectives represent a transformation in how you work. By the end of today, you'll wonder how you ever worked without these tools.

Let's build your AI command centre!


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