Introduction to Vibe Coding and Vibe Engineering
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Introduction to Vibe Coding and Vibe Engineering
Introduction to Vibe Coding and Vibe Engineering
- 1. Vibe Coding and Vibe Engineering Damian Gordon
- 2. Contents •What is Vibe Coding? • Developer Workflow • Vibe Coding Tools • Best Practices • Risks and Benefits •What is Vibe Engineering? • Principles of VE • Organisational Implications
- 4. What is Vibe Coding? •“Vibe coding” is the use of natural language to program via generative AI. So the coding is done by expressing intent or a “vibe,” rather than writing logic line by line. •“You just say things, run things, and it mostly works.” - Andrej Karpathy, OpenAI
- 5. What is Vibe Coding? • A simple analogy would be hiring your own personal shopper to buy clothes for you. • You describe the look or feel of clothes you want (e.g. "I need a cozy set of summer outfits") • The shopper interprets your intent and curates outfits • You try things on, give feedback ("Too formal", "Try warmer tones") • The shopper handles the technical side: sizing, brands, inventory • The shopper speeds up your process but doesn’t remove your taste or final judgment
- 6. What is Vibe Coding? • So for Vibe Coding. • You describe the vibe or function of the software you want (e,g, "Build a cozy landing page with soft gradients and gentle animations") • The GenAI interprets your prompt and generates code (UI, copy, layout, animations) • You test/refine the output ("Make it simpler", "Use a pastel palette", "Add spring easing") • The GenAI handles implementation: syntax, layout logic, libraries • The AI accelerates development, but you still review, edit, and deploy
- 8. Vibe Coding Tools ChatGPT / Claude / Gemini – Conversational coding Cursor – AI-native code editor SuperWhisper – Voice-to-code Replit Ghostwriter – In-browser AI dev Lovable.so / Builder.io – Natural language UI builders
- 9. Vibe Coding: Prompt Guide •Structure for Effective Prompts • 1. Intent: What are you building? • 2. Vibe: What should it *feel* like? • 3. Style/Constraints: Tech stack, design choices, features • 4. Output format: What do you want returned?
- 10. Vibe Coding: Prompt Guide •Example Prompt • “Create a landing page for a meditation app. The vibe should be calm and minimal with a soft gradient background and slow animations. Use React + Tailwind. Return full component code.”
- 11. Vibe Keywords Visual Motion Tone Style soft, dreamy smooth, slow, fluid playful, formal retro, brutalist cozy, warm springy, elastic gentle, sharp minimal, maximal dark, moody quick, responsive calming, bold glassy, grainy
- 12. Vibe Coding: Prompt Guide •Refinement Prompts • “Make it feel lighter/more playful.” • “Use serif fonts for a vintage vibe.” • “Add hover effects that feel soft.” • “Convert this to Vue instead of React.” • “Can you simplify the layout?”
- 13. Best Practices Prompt Engineering is the new syntax. Prompt structure: give context, intent, constraints. You design by mood, outcome, or story “Make it feel like a rainy Sunday.” Iteration is fluid “Make it more minimal.” “Try it in a darker theme.” Code vetting The human must be in the loop.
- 14. Vibe Coding: Risks • Understanding: • The GenAI doesn’t understand anything, so it’s up to you understand the code even if you didn’t write it. • Debugging bottlenecks: • What happens when something breaks? • Security issues: • AI might introduce silent vulnerabilities. • Ethical concerns: • Who owns the generated code?
- 15. Vibe Coding: Risks • Contradictions • Repetition • Ambiguity • Stereotyping • Hallucinations • Bias • Overgeneralization • Toxicity
- 16. Vibe Coding: Benefits • Accessibility: • Lowers the barrier to entry for software development, enabling non-programmers to create applications. • Efficiency: • Accelerates the development process by automating routine coding tasks. • Creativity: • Allows developers to focus on high-level design and functionality
- 17. Summary •Vibe coding is not the end of programming - it's the beginning of a new kind of creative-human/AI collaboration.
- 19. What is Vibe Engineerin g? • “Vibe Engineering” is a strategic approach to software development that treats AI not merely as a tool but as a collaborative team member. • It involves reimagining how software teams operate by integrating AI into every facet of the development lifecycle.
- 20. Vibe Coding vs Vibe Engineering Vibe Coding Vibe Engineering Focus Individual productivity Organizational transformation AI Role Assistant generating code snippets Collaborative team member with responsibilities Workflow Prompt-based code generation Structured workflows integrating AI Quality Assurance Manual testing and refinement Automated verification and feedback loops Knowledge Management Ad-hoc context handling Persistent memory systems for context retention
- 21. Core Principles • AI as a First-Class Team Member: AI agents are assigned defined responsibilities and capabilities, collaborating alongside human developers. • Verification-Driven Development: Implementing systematic testing and automated feedback loops to ensure quality and reliability. • Structured Workflows: Designing architectural patterns that leverage AI's strengths while mitigating its limitations. • Relentless Knowledge Capture: Maintaining context across AI interactions through persistent memory systems to preserve organizational knowledge. • Human Strategic Direction: Focusing human expertise on architectural decisions and critical thinking, guiding AI contributions effectively.
- 22. Vibe Engineerin g Tools Cursor, Replit Ghostwriter – AI-native code CodiumAI, Github Copilot – Test generation Windsurf – AI context management GitHub Copilot Enterprise, Lovable – Org-wide AI collaboration
- 23. Developer Workflow Team starts with a product spec. AI agent drafts boilerplate, writes tests, scaffolds APIs. Human edits high- level logic. Verification pipeline catches regressions. Persistent memory tracks decisions.
- 24. Organisation Implications •How team roles change: •less boilerplate, more design/strategy. •Challenges: •trust, code quality, AI oversight, onboarding. •What’s emerging: •AI-augmented org charts, agent-driven sprints.