An analysis of the current LLM landscape in 2026, focusing on the shift from 'vibe coding' to more efficient and controlled workflows for software development and data analysis. The author advocates for tools like AI Studio and OpenCode, and discusses the strengths of models like Gemini 2.5 Pro and Claude Sonnet.
The article discusses the impact of AI on coding and design jobs, advocating for a shift towards 'Vibe Coding' and emphasizing the importance of design principles and data management in the age of AI-assisted development. It highlights the need for detailed instructions and robust testing strategies when using AI tools, and proposes a more design-focused approach to computer science education.
