Why I Ship More Projects Using Structured Vibe Coding
AI Summary
Summary Note for Video: How to Ship More Enterprise Level Projects Using a Structured Approach to Vibe Coding
- Introduction
- Discusses the duality of opinions on vibe coding: seen as non-engineering by some, while others rely on it heavily.
- Emphasizes the need for process and structure in vibe coding.
- Research Phase
- Research data sources, APIs, and constraints for the application.
- Recommended tools: Gro, Claude with internet access, Perplexity, and Chatbot.
- Document URLs for datasets and relevant APIs in the spec.
- Spec Creation
- Write a spec covering the intent, functionality, and user details.
- Example: Developing a weekly to-do app.
- Use AI to flesh out the intent and features of the application.
- Interviewing with AI
- Use a reasoning model, preferably OpenAI’s model for quicker responses.
- Engage in a back-and-forth dialogue to refine the spec based on the user’s answers.
- Blueprint Development
- Transition from spec to creating a detailed blueprint that outlines how to build the application.
- Incorporate step-by-step iterative chunks emphasizing test-driven development (TDD) for functionality.
- To-Do List Generation
- Generate a markdown to-do list for task tracking.
- Structure to allow checking off completed tasks, facilitating macro and micro management during development.
- Conclusion
- Encourages re-engaging in the structured approach with the AI as projects evolve.
- Final thoughts on incorporating AI to automate processes within enterprise settings.