1. Project Initiation

• Define the product concept

• Create an initial product definition document

• Store all documentation in an AI-accessible database (e.g., Claude Projects)

2. Requirements Gathering

• Use AI to generate comprehensive requirements based on the product definition

• Team reviews and refines requirements

• AI updates documentation in real-time

3. Technical Design

• AI generates initial technical design based on requirements

• Team reviews and provides feedback

• AI refines design based on feedback

4. Rapid Prototyping

• AI generates a thin prototype based on technical design and requirements

• Store prototype in the AI-accessible database

• Team reviews prototype and provides feedback

5. Iterative Development

• For each module:

  • AI generates initial implementation code 

  • Developers review and refine the code 

  • AI assists with code optimisation and suggests improvements

6. Continuous Testing

• AI performs automated testing using defined test cases

• Identifies potential bugs and suggests fixes

• Developers review and approve changes

7. Documentation Updating

• AI continuously updates all project documentation

• Ensures alignment between code, design, and requirements

8. Iteration and Refinement

• Based on testing results and team feedback, AI suggests improvements

• Team decides on next steps (e.g., adding features, refining existing functionality)

• Process repeats from step 5 as needed

9. Deployment Preparation

• AI generates deployment scripts and configuration

• Team reviews and approves deployment plan

10. Continuous Improvement

• Post-deployment, AI monitors performance and user feedback

• Suggests improvements and potential new features

• Process restarts from relevant step for next iteration