📋 Table of Contents
A: No! AI is a tool that amplifies developer capabilities, not replaces them. Think of it like:
- 🔨 A power drill doesn't replace carpenters, it makes them more efficient
- 🤖 AI handles repetitive tasks so you can focus on creative problem-solving
- 🧠 You still need to understand the code, architecture, and business logic
- ✅ AI suggestions need human review, context, and decision-making
A: AI accuracy varies significantly:
- ✅ High accuracy (80-90%): Common patterns, standard algorithms, boilerplate code
⚠️ Medium accuracy (50-70%): Business logic, complex algorithms, domain-specific code- ❌ Low accuracy (20-40%): Cutting-edge tech, proprietary systems, highly specific requirements
- 🔍 Always review: Never trust AI blindly - always review and test generated code
A: Yes, but with important considerations:
- ✅ Always review and understand the code before using it
- ✅ Test thoroughly - AI doesn't guarantee bug-free code
- ✅ Check licensing and compliance requirements
- ✅ Ensure code meets your organization's standards
⚠️ Be extra careful with security-sensitive code
A: GitHub Copilot's variability is due to several factors:
| Factor | Impact | Example |
|---|---|---|
| Context | Different open files = different suggestions | Having a test file open might generate test-focused code |
| History | Your recent edits influence suggestions | If you just wrote Java code, Copilot might favor Java patterns |
| Model Version | Copilot updates regularly | Newer versions might suggest different patterns |
| Randomness | AI has inherent non-determinism | Same prompt can yield variations |
| Settings | IDE and Copilot configurations | Temperature settings affect creativity vs consistency |
A: Common troubleshooting steps:
- Check connection: Ensure you're connected to the internet
- Verify authentication: Look for Copilot icon in status bar
- Check subscription: Ensure your trial/subscription is active
- File type: Copilot works best with common programming languages
- Restart VS Code: Sometimes a simple restart helps
- Check firewall: Corporate firewalls might block Copilot
A: No, GitHub Copilot:
- ❌ Does NOT train on your private code
- ❌ Does NOT send your code to train the model
- ✅ Uses pre-trained models from public code
- ✅ Processes your code locally for context only
- 🔒 Your code remains private and secure
A: Copilot supports many languages with varying effectiveness:
- 🟢 Excellent: JavaScript, Python, TypeScript, Java, C#, Go, Ruby
- 🟡 Good: C++, PHP, Swift, Kotlin, Rust, SQL
- 🟠 Limited: Haskell, Scala, R, MATLAB, Assembly
- 🔴 Minimal: Proprietary or rare languages
A: Not necessarily! Check if your code:
- ✅ Has all four operations (add, subtract, multiply, divide)
- ✅ Handles division by zero
- ✅ Compiles without errors
- ✅ Produces correct results
If yes to all, your code is fine! Different implementations teach us different approaches.
A: Performance improvements depend on:
- Dataset size: Small datasets (10 items) show minimal difference
- JVM/Runtime optimization: Modern runtimes optimize simple cases
- Measurement precision: Nanosecond measurements can be noisy
- Hardware: Different machines show different results
Try with 10,000+ items to see dramatic differences!
A: Unfortunately, yes:
- 📊 OWASP Top 10: SQL injection remains a top vulnerability
- 🏢 Legacy code: Many systems still have vulnerable code
- 🚀 Rushed development: Time pressure leads to shortcuts
- 📚 Education gaps: Not all developers learn secure coding
This exercise teaches you to recognize and fix these issues!
A: Defense in depth principle:
- 🖥️ Client validation: Better user experience, immediate feedback
- 🔒 Server validation: Security (client validation can be bypassed)
- 🛡️ Never trust the client: Attackers can modify client-side code
- ✅ Best practice: Always validate on the server, optionally on client
A: Common issues and solutions:
| Error | Cause | Solution |
|---|---|---|
| "Subscription not found" | Wrong subscription selected | Run az account set --subscription <name> |
| "Name already exists" | Resource name taken | Script adds timestamp, try again |
| "Quota exceeded" | Subscription limits | Use a different region or contact Azure support |
| "Region not available" | Service not in region | Script auto-selects compatible region |
| "Insufficient permissions" | Not enough rights | Need Contributor role on subscription |
A: File encoding issues:
- Ensure UTF-8 encoding in your editor
- On Windows, check for BOM (Byte Order Mark)
- Use
dos2unixfor line ending issues - Clone with
git config core.autocrlf false
A: Environment checklist:
- ✅ Correct version installed (Java 17+, .NET 6+)
- ✅ PATH environment variable set
- ✅ JAVA_HOME (for Java) configured
- ✅ IDE recognizes the SDK
- ✅ Restart terminal/IDE after installation
A: No, it's tool adoption:
- 🛠️ Using AI is like using an IDE instead of notepad
- 📚 You still need to understand the code
- 🎓 Many universities and companies encourage AI tool usage
- ✅ The key is understanding, not just copying
- 🏢 Most modern companies expect AI tool proficiency
A: Important considerations:
- Your code: You own code you write with AI assistance
- AI suggestions: Based on patterns from public code
- License compliance: You're responsible for ensuring compliance
- Attribution: Not required for AI assistance
- Company policy: Check your organization's AI usage policy
A: AI doesn't copy-paste, but:
- 🔍 AI learns patterns from public code
- 📝 Common patterns might match existing code
- ✅ Run code through plagiarism checkers if concerned
- 🎯 Focus on understanding and adapting, not just using
- 📚 Add your own comments and modifications
A: Best practices:
- ✅ Be transparent with your team
- 📝 Focus on code quality, not generation method
- 🔍 Ensure you can explain every line
- 🤝 Follow team/company guidelines
- 💡 Share AI techniques that helped
A: Enterprise considerations:
| Aspect | Details |
|---|---|
| Data Privacy | Code processed locally, not stored |
| Compliance | SOC 2 Type 2 certified |
| Network | Works behind corporate firewalls |
| Control | Admins can manage access and settings |
| Audit | Usage can be monitored and reported |
A: Security best practices:
- ❌ Never put secrets in code (with or without AI)
- ✅ Use environment variables or secret managers
- ✅ Configure .gitignore properly
- ✅ Review AI suggestions for accidental secrets
- 🔒 Use tools like git-secrets for scanning
A: No! Workshop resources are:
- 🧪 For learning only
- 💰 Not optimized for cost
- 🔓 Using default passwords
⚠️ Missing production security- 🗑️ Should be deleted after workshop
A: Enterprise adoption strategy:
- Pilot: Start with small team
- Measure: Track productivity metrics
- Train: Develop best practices
- Expand: Roll out gradually
- Govern: Establish policies and guidelines
A: Recommended learning path:
| Level | Focus | Resources |
|---|---|---|
| Next Week | Practice daily with Copilot | Use on real projects |
| Month 1 | Advanced Copilot features | Copilot Chat, workspace commands |
| Month 2 | Other AI tools | Cursor, Codeium, Amazon CodeWhisperer |
| Month 3 | AI integration | CI/CD with AI, automated testing |
| Ongoing | Stay updated | Follow AI development news |
A: Absolutely! Market demand:
- 📈 75% of developers will use AI by 2028 (Gartner)
- 💰 Higher salaries for AI-skilled developers
- 🚀 Faster career growth with modern skills
- 🏢 Company requirement at many organizations
- 🌟 Competitive advantage in job market
A: Building the business case:
- Start small: Personal productivity gains
- Measure impact: Track time saved
- Share successes: Demo to team
- Address concerns: Security, cost, accuracy
- Propose pilot: Limited trial with metrics
A: Alternative approaches:
- 🏠 Practice on personal projects
- 📚 Learn concepts even without tools
- 🗣️ Advocate for change with data
- 🔍 Understand company concerns
- 🚀 Be ready when policy changes
| Channel | Purpose | Response Time |
|---|---|---|
| GitHub Issues | Technical problems | 24-48 hours |
| Workshop Chat | Live questions during workshop | Immediate |
| Email Support | Detailed questions | 2-3 days |
| Community Forum | Peer discussions | Community-driven |
- Be specific: Include error messages, code snippets
- Show effort: Explain what you've tried
- Provide context: OS, versions, environment
- One issue: Focus on single problem
- Be patient: Everyone is learning!
📝 Note: This FAQ is continuously updated based on workshop feedback. Last updated: January 2024