I’m trying to understand how different AI LLMs actually perform for real development work, not just theory or benchmarks.
Specifically, I want to compare:
ChatGPT (OpenAI)
DeepSeek
Claude AI
Google Gemini
From a developer perspective, I’m interested in:
🔹 Frontend:
Writing clean React / Next.js / Vue code
Debugging UI issues
Performance optimization
Component structure & best practices
🔹 Backend:
Node.js / Python / Java / Go suggestions
API design (REST, GraphQL)
Database design (Postgres, MySQL, Mongo)
Error handling & security best practices
🔹 Hosting & Deployment:
AWS, Vercel, Railway, Render, Docker, etc.
CI/CD pipelines
Server setup and scaling
Cost optimization