🚀 Exploring the Future of AI Coding: A Deep Dive into Full-Stack Development 🌐
Last month, I conducted an in-depth analysis of AI frontend generators and their capabilities as full-stack engineers. With the rise of cutting-edge models—Claude Opus 4.5, Gemini 3 Pro, and GPT-5.1 Codex Max—I embarked on a rigorous development cycle to create an MVP for the application Speakit.
Key Insights:
- Benchmark Challenge: Assessing speed, quality, and completeness in real-world software engineering.
- Performance Metrics:
- Gemini 3 Pro: Fastest iteration (15m 30s), clean code, and high feature completeness.
- GPT-5.1 Codex Max: Unconventional stack but excelled in PDF extraction.
- Claude Opus 4.5: Beautiful UI but faltered in core functionality.
Conclusion:
- Takeaway: Benchmark scores don’t guarantee a production-ready product. Understanding each model’s strengths is crucial.
🔗 Interested in uncovering how AI can redefine coding? Check out the detailed results and share your thoughts! #AI #SoftwareDevelopment #MVP #TechTrends
