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Module 6: AI-Assisted DevOps - Issue Creation Guide

Overview

This guide provides the exact structure to create GitHub issues for Module 6 lessons (Lessons 35-41), matching the format used in Module 1.

Parent Issue Structure

Note: Issue #14 "Module 6" already exists as the parent issue.

Update Issue #14 with:

  • Title: 🧪Module 6: AI-Assisted DevOps Fundamentals
  • Description:
# AI-Assisted DevOps — Level 1 Skill Assessment

**Learning Objectives:**

1. DevOps Fundamentals for Web3
2. Smart Contract Deployment Automation
3. AI-Powered Development Tools
4. Testing & Quality Assurance
5. Monitoring & Observability
6. Infrastructure & Scaling
7. Assessment & DEV-1 Token Issuance
  • Milestone: Module 6: AI-Assisted DevOps
  • Project: V.I.S.E. VLN-Certifications
  • Project Status: Educational Milestone
  • Label: backlog
  • Blocks: Sprint 1 (or next module)
  • Blocked by: Issue #13 (Module 5)

Lesson 35: DevOps Fundamentals for Web3

Issue Title: Lesson 35: — DevOps Fundamentals for Web3

Description:

### DevOps Fundamentals for Web3

**Learning Objectives:**

- ✔️ DevOps principles and culture
- ✔️ CI/CD pipeline basics
- ✔️ Infrastructure as Code (IaC)
- ✔️ Version control best practices
- ✔️ Environment management (dev, staging, prod)
- ✔️ Continuous Integration
- ✔️ Continuous Deployment vs. Delivery
- ✔️ GitOps workflows
- ✔️ Environment parity
- ✔️ Secret management
- ✔️ Setup GitHub Actions workflow
- ✔️ Configure multi-environment deployment
- ✔️ Implement automated testing pipeline
- ✔️ Research Web3-specific DevOps challenges

Metadata:

  • Milestone: Module 6: AI-Assisted DevOps
  • Project: V.I.S.E. VLN-Certifications
  • Project Status: Curriculum
  • Blocked by: Issue #14 (🧪Module 6)
  • Blocks: Issue for Lesson 36

Lesson 36: Smart Contract Deployment Automation

Issue Title: Lesson 36: — Smart Contract Deployment Automation

Description:

### Smart Contract Deployment Automation

**Learning Objectives:**

- ✔️ Hardhat deployment scripts
- ✔️ Multi-network deployment strategies
- ✔️ Contract verification automation
- ✔️ Upgrade mechanisms and governance
- ✔️ Deployment security best practices
- ✔️ Deterministic deployments
- ✔️ Create2 for predictable addresses
- ✔️ Deployment artifacts management
- ✔️ Proxy upgrade patterns
- ✔️ Rollback strategies
- ✔️ Build multi-stage deployment pipeline
- ✔️ Automate contract verification on Etherscan
- ✔️ Implement safe upgrade workflow
- ✔️ Create deployment playbook

Metadata:

  • Milestone: Module 6: AI-Assisted DevOps
  • Project: V.I.S.E. VLN-Certifications
  • Project Status: Curriculum
  • Blocked by: Issue for Lesson 35
  • Blocks: Issue for Lesson 37

Lesson 37: AI-Powered Development Tools

Issue Title: Lesson 37: — AI-Powered Development Tools

Description:

### AI-Powered Development Tools

**Learning Objectives:**

- ✔️ AI code completion (GitHub Copilot, Cursor)
- ✔️ AI-assisted debugging
- ✔️ Automated documentation generation
- ✔️ AI code review and suggestions
- ✔️ Smart contract generation with AI
- ✔️ Prompt engineering for code generation
- ✔️ AI limitations and verification
- ✔️ Human-in-the-loop workflows
- ✔️ Context provision for better results
- ✔️ AI pair programming techniques
- ✔️ Generate contracts with AI
- ✔️ Review AI-generated code quality
- ✔️ Automate documentation with AI tools
- ✔️ Build AI-powered development assistant

Metadata:

  • Milestone: Module 6: AI-Assisted DevOps
  • Project: V.I.S.E. VLN-Certifications
  • Project Status: Curriculum
  • Blocked by: Issue for Lesson 36
  • Blocks: Issue for Lesson 38

Lesson 38: Testing & Quality Assurance

Issue Title: Lesson 38: — Testing & Quality Assurance

Description:

### Testing & Quality Assurance

**Learning Objectives:**

- ✔️ Unit testing best practices
- ✔️ Integration testing for smart contracts
- ✔️ Forking mainnet for testing
- ✔️ Gas optimization testing
- ✔️ Mutation testing
- ✔️ Test coverage metrics
- ✔️ Fixture patterns
- ✔️ Mocking and stubbing
- ✔️ Property-based testing
- ✔️ Regression testing
- ✔️ Achieve 100% test coverage on sample project
- ✔️ Implement integration tests with forked mainnet
- ✔️ Reduce gas costs by 20%
- ✔️ Setup mutation testing with Vertigo

Metadata:

  • Milestone: Module 6: AI-Assisted DevOps
  • Project: V.I.S.E. VLN-Certifications
  • Project Status: Curriculum
  • Blocked by: Issue for Lesson 37
  • Blocks: Issue for Lesson 39

Lesson 39: Monitoring & Observability

Issue Title: Lesson 39: — Monitoring & Observability

Description:

### Monitoring & Observability

**Learning Objectives:**

- ✔️ Blockchain event monitoring
- ✔️ Application performance monitoring (APM)
- ✔️ Error tracking and alerting
- ✔️ Analytics and metrics
- ✔️ Log aggregation
- ✔️ Event indexing (The Graph)
- ✔️ Real-time alerting (Tenderly, Defender)
- ✔️ Dashboard creation
- ✔️ On-chain analytics
- ✔️ Off-chain service monitoring
- ✔️ Build event monitoring dashboard
- ✔️ Setup alerts for critical contract events
- ✔️ Implement analytics tracking
- ✔️ Create operational runbook

Metadata:

  • Milestone: Module 6: AI-Assisted DevOps
  • Project: V.I.S.E. VLN-Certifications
  • Project Status: Curriculum
  • Blocked by: Issue for Lesson 38
  • Blocks: Issue for Lesson 40

Lesson 40: Infrastructure & Scaling

Issue Title: Lesson 40: — Infrastructure & Scaling

Description:

### Infrastructure & Scaling

**Learning Objectives:**

- ✔️ RPC node management
- ✔️ IPFS infrastructure
- ✔️ Database design for blockchain data
- ✔️ Caching strategies
- ✔️ Load balancing and redundancy
- ✔️ RPC provider selection (Infura, Alchemy, Quicknode)
- ✔️ IPFS pinning services
- ✔️ Indexing strategies (subgraphs)
- ✔️ Rate limiting
- ✔️ Failover mechanisms
- ✔️ Setup multi-provider RPC fallback
- ✔️ Implement efficient blockchain data caching
- ✔️ Build subgraph for your project
- ✔️ Design scalable architecture diagram

Metadata:

  • Milestone: Module 6: AI-Assisted DevOps
  • Project: V.I.S.E. VLN-Certifications
  • Project Status: Curriculum
  • Blocked by: Issue for Lesson 39
  • Blocks: Issue for Lesson 41

Lesson 41: Assessment & DEV-1 Token Issuance

Issue Title: Lesson 41: — Assessment & DEV-1 Token Issuance

Description:

### Assessment & DEV-1 Token Issuance

**Assessment Components:**

- ✔️ DevOps Architecture Design (30%): Complete pipeline documentation
- ✔️ Implementation Project (50%): Full CI/CD system with monitoring
- ✔️ AI Integration Showcase (20%): Demonstrate AI-assisted workflows

**Project Requirements:**

- ✔️ Design complete DevOps architecture for a Web3 project
- ✔️ Implement CI/CD pipeline with automated testing
- ✔️ Setup multi-network deployment automation
- ✔️ Configure monitoring and alerting
- ✔️ Integrate AI tools into development workflow
- ✔️ Document all processes and runbooks
- ✔️ Demonstrate deployment to testnet
- ✔️ Complete all daily learning activities
- ✔️ Achieve 80% or higher on all assessment components
- ✔️ Deploy fully functional CI/CD pipeline
- ✔️ Demonstrate working monitoring system
- ✔️ Show effective AI integration
- ✔️ Submit complete documentation
- ✔️ Present live demo to review panel

**Passing Criteria:**

- Score 80% or higher on all components
- Show working CI/CD pipeline
- Demonstrate monitoring capabilities
- Prove AI integration benefits

**Token Issuance:**

Upon successful completion, receive DEV-1 token which grants access to Sprint 1: AI Mini App Project and DevOps specialist badge.

**Best Practices Checklist:**

**Security:**
- Secrets stored in environment variables or secret managers
- No private keys in code or repositories
- Multi-signature for production deployments
- Audit logs for all deployments

**Reliability:**
- Automated testing before deployment
- Rollback plan for failures
- Health checks and monitoring
- Redundant infrastructure

**Efficiency:**
- Fast feedback loops
- Parallel test execution
- Cached dependencies
- Optimized pipelines

**AI Ethics:**
- Always review AI-generated code
- Understand what the code does
- Test thoroughly
- Maintain human oversight

Metadata:

  • Milestone: Module 6: AI-Assisted DevOps
  • Project: V.I.S.E. VLN-Certifications
  • Project Status: Curriculum
  • Blocked by: Issue for Lesson 40
  • Blocks: Sprint 1 or next educational phase

Issue Creation Order

Create issues in this order to establish proper blocking relationships:

  1. Update Issue #14 (parent issue)
  2. Create Lesson 35 issue (blocked by #14)
  3. Create Lesson 36 issue (blocked by Lesson 35)
  4. Create Lesson 37 issue (blocked by Lesson 36)
  5. Create Lesson 38 issue (blocked by Lesson 37)
  6. Create Lesson 39 issue (blocked by Lesson 38)
  7. Create Lesson 40 issue (blocked by Lesson 39)
  8. Create Lesson 41 issue (blocked by Lesson 40)

Summary

  • Total Issues: 7 lesson issues + 1 parent issue (already exists)
  • Lesson Numbers: 35-41
  • Module: 6: AI-Assisted DevOps
  • Token Earned: DEV-1
  • Prerequisite: PRIV-1 Token (from Module 5)
  • Unlocks: Sprint 1: AI Mini App Project