My AI Coding Workflow: From Idea to Deployed App

I have refined my AI-assisted development workflow over the past year. It starts with brainstorming where I use ChatGPT to explore architecture options. Then I move to Claude for detailed planning and breaking down tasks. During implementation, I switch between tools, using DeepSeek for logic-heavy functions and Claude for frontend components. For debugging, I paste errors into any tool and compare suggestions. Code review involves asking the AI to look for security issues and edge cases. Documentation is handled by Claude with artifacts. The whole process is faster and more enjoyable than working alone.