AI Development Life Cycle is different from Vibe Coding

 

AI Development Life Cycle (AI DLC)

A typical AI DLC includes these stages:

1. Problem definition – Define the business problem and success metrics.
2. Data collection – Gather and prepare training and evaluation data.
3. Data preprocessing – Clean, transform, and label the data.
4. Model selection and training – Choose algorithms or foundation models and train or fine-tune them.
5. Evaluation – Measure accuracy, robustness, fairness, latency, and cost.
6. Deployment – Release the model into production.
7. Monitoring – Track performance, drift, failures, and user feedback.
8. Maintenance – Retrain, update, and improve the system over time.
   
   

   Vibe coding

   Vibe coding is a development workflow rather than a lifecycle. It typically looks like:

   1. Describe what you want in natural language.
   2. AI generates code.
   3. Test the result.
   4. Ask the AI to fix or improve it.
   5. Repeat until you're satisfied.

   The AI does much of the implementation, while the developer focuses on defining requirements, reviewing outputs, and making decisions.
   
   
   

   They're complementary rather than competing:

   • Use vibe coding when you want to prototype or build software quickly.
   • Use the AI Development Life Cycle when you're creating an AI product that needs to be reliable, secure, maintainable, and suitable for production.