Coding Is Dead. Programming Is Not (twitter.com)

The landscape of programming is evolving dramatically as artificial intelligence (AI) introduces deeper levels of abstraction in software development. The shift from low-level machine code to high-level languages and cloud-based solutions has already transformed how developers work, but now AI is changing the role of programmers even further. Rather than writing extensive lines of code, programmers are increasingly tasked with defining goals, managing resources, orchestrating various systems, and verifying outcomes. This evolution positions coding as a commodity while emphasizing the importance of programming as a skill in orchestration and system design. This transition holds significant implications for the AI/ML community, as it reflects a move towards more strategic thinking in software creation. With AI tools automating more routine coding tasks, developers can focus on higher-level problem-solving and system integration. Understanding how different components interact and how to orchestrate them effectively becomes vital, positioning programmers as designers and managers of complex AI-driven ecosystems. Ultimately, this shift not only enhances productivity but also opens up new opportunities for innovation in software development.