Back to .md Directory

Book Source Code TODOs

Lists 50+ unstarted tasks across AI, cloud, DevOps, and documentation for a book's companion source code repository.

May 2, 2026
0 downloads
1 views
ai llm rag prompt eval workflow
View source

What this file does

Lists 50+ unstarted tasks across AI, cloud, DevOps, and documentation for a book's companion source code repository.

When to use it

  • Planning a multi-chapter technical book with example code
  • Tracking work across AI, cloud, and DevOps sections in one place
  • Setting up a public repo with community contribution templates
  • Organizing quarterly milestones for a large open-source project

Book Source Code TODOs

High Priority Tasks

  • Set up basic project structure and templates
  • Create initial example applications
  • Implement CI/CD pipelines
  • Write comprehensive documentation

AI Section

  • Implement LLM integration examples
  • Create prompt engineering templates
  • Develop AI-powered code generation samples
  • Add RAG (Retrieval Augmented Generation) examples
  • Create fine-tuning notebooks

Cloud Section

  • AWS infrastructure templates
  • Azure deployment examples
  • GCP service implementations
  • Multi-cloud architecture patterns
  • Serverless function examples

DevOps Section

  • Docker containerization examples
  • Kubernetes deployment configurations
  • Terraform infrastructure code
  • Jenkins pipeline templates
  • GitHub Actions workflows
  • Monitoring and logging setups

Examples Section

  • Full-stack web application
  • Microservices architecture
  • Event-driven systems
  • API gateway implementations
  • Database integration patterns

Resources Section

  • Best practices documentation
  • Architecture decision records
  • Performance optimization guides
  • Security implementation guides
  • Troubleshooting guides

Documentation

  • API documentation
  • Setup guides
  • Contributing guidelines
  • Code style guide
  • Testing strategies

Book Chapters Source Code

  • Chapter 1: Introduction to Full-Stack Development
  • Chapter 2: Modern DevOps Practices
  • Chapter 3: Cloud Native Architecture
  • Chapter 4: AI Integration Patterns
  • Chapter 5: Enterprise Patterns and Best Practices

Quality Assurance

  • Set up testing frameworks
  • Implement code quality checks
  • Add security scanning
  • Performance testing templates
  • Load testing scenarios

Community and Support

  • Create issue templates
  • Set up discussion forums
  • Prepare contribution guidelines
  • Create FAQ documentation

Timeline

  • Q1 2024: Initial structure and basic examples
  • Q2 2024: Core implementations and documentation
  • Q3 2024: Advanced features and testing
  • Q4 2024: Polish and launch preparation

Notes

  • Keep all examples production-ready and well-documented
  • Ensure cross-platform compatibility
  • Follow security best practices
  • Maintain consistent coding standards
  • Regular updates and maintenance

What's inside

10 sections with 50+ checkbox tasks, plus a quarterly timeline and 6 bullet notes.

Change this for your project

  • Replace Q1 2024 through Q4 2024 with your own release schedule
  • Replace Chapter 1 through Chapter 5 with your book's chapter titles
  • Replace prodxcloud/fullstack-devops-cloud-ai-complete-handbook with your repository name

Where it goes

Save in docs/ or the repository root. Gives agents and new contributors a map of the codebase.

Related Documents