Why I Ship More Projects Using Structured Vibe Coding
AI Summary
Overview
This video discusses a structured approach to ‘vibe coding’ for enterprise-level project delivery, emphasizing the importance of balance between creativity and engineering rigor.
Key Points
- Vibe Coding Definition
- Two camps exist: those who dismiss vibe coding as unprofessional and those who over-rely on it.
- A structured approach is necessary for effective vibe coding.
- Effective Process
- Developed an effective process over the last few months to create enterprise-level applications.
- Three key outputs from the process:
- Spec: Outlines what the product is and its purpose.
- Blueprint: Details how to build the product.
- To-Do List: Serves as a roadmap for AI, ensuring the context is maintained throughout coding.
- Initial Research Steps
- Investigate data sources, APIs, and documentation required for the application.
- Recommended tools for research include Gro, Claude, and Perplexity.
- Documents and URLs for APIs should be included in the spec.
- Writing the Spec
- Define the app’s intent, target users, and functionality.
- Use AI tools like OpenAI’s models for drafting and refining the document.
- Engage in a back-and-forth process with AI to finalize the spec.
- Building the Blueprint
- Outline detailed steps to create the application using a test-driven approach (TDD).
- Break down the process into manageable chunks that AI can handle efficiently.
- Provide iterative feedback to refine the blueprint based on AI-generated outputs.
- To-Do List Creation
- Develop a markdown to-do list that tracks progress on project chunks.
- Ensure future AI sessions can check off completed tasks, maintaining macro and micro context.
Conclusion
This structured method allows for productive and efficient project development using vibe coding while integrating AI as a tool for assistance in planning and execution.