🌟 Embracing AI in Software Development: My Journey with an AI-Powered Chemistry Tutor 🌟
Over the past six months, I’ve transformed the coding landscape while building an AI-driven tutor for advanced chemistry. While 98% of the code is AI-generated, true ownership and strategy rely heavily on human collaboration—making my codebase effectively 250% AI-generated.
Key Insights:
- The Importance of Information Architecture (IA):
- Handwritten IA is vital; it informs all subsequent development.
- Less is More:
- Avoid useless features that only bloat the codebase.
- AI can easily add necessary functionalities later.
- Effective Naming Conventions:
- Consistent naming allows AI tools to seamlessly navigate your codebase.
- Leverage AI for Integrations:
- Let AI handle vendor API integrations and setup.
As we continue to innovate with AI, the collaborative relationship between humans and technology will redefine software engineering.
👉 Ready to revolutionize your coding process? Share your thoughts and experiences in the comments! 🗣️✨
