Vibe Coding Framework
  • 💻Introduction
  • 🧠Getting Started
    • Guide for Project Managers
    • Guide for System Owners
  • 🫣Dunning-Kruger Effect
  • Document Organisation
  • Core Concepts
    • What is Vibe Coding
  • Benefits and Challenges
  • Framework Philosophy
  • Security Tools
  • Framework Components
    • Prompt Engineering System
    • Verification Protocols
    • Security Toolkit
    • Documentation Generator
  • Refactoring Tools
  • Team Collaboration
  • Implementation Guide
    • For Individual Developers
  • For Engineering Teams
  • For Enterprises
  • Best Practices
    • Code Review Guidelines
  • Security Checks
  • Documentation Standards
  • Collaboration Workflows
  • Case Studies
    • Success Stories
  • Lessons Learned
  • Examples
    • Enterprise Case Study: Oracle Application Modernisation
    • Local email processing system
  • Resources
    • Tools and Integrations
      • Tools and Integrations Overview
      • Local LLM Solutions
      • Prompt Management Systems
  • Learning Materials
    • Test Your knowledge - Quiz 1
    • Test your knowledge - Quiz 2
  • Community Resources
  • Document Templates
    • AI Assisted Development Policy
    • AI Prompt Library Template
    • AI-Generated Code Verification Report
    • Maintainability Prompts
    • Security-Focused Prompts
    • Testing Prompts
    • [Language/Framework]-Specific Prompts
  • Framework Evolution
    • Versioning Policy
    • Contribution Guidelines
  • Roadmap
  • Glossary of terms
  • Patreon
    • Patroen Membership
  • Contact and Social
  • CREDITS
    • Different tools were used to build this site. Thanks to:
  • The Founder
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Learning Materials

The Learning Materials section will serve as a comprehensive educational hub for the Vibe Coding Framework. As this framework evolves, we envision this area growing to include tutorials, guides, interactive courses, and community contributions that help practitioners at all levels implement AI-assisted development responsibly. Rather than just prescribing practices, we aim to build understanding of the underlying principles and create opportunities for hands-on learning. We invite community members to contribute learning resources, share implementation experiences, and help develop role-specific guides that address real-world challenges. Together, we can build a knowledge base that empowers developers to harness AI tools effectively while maintaining the engineering rigor that professional software development demands.

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Last updated 1 month ago