Carson Gross Argues Programming Remains Viable Despite AI

On October 8, 2026, technologist Simon Willison highlighted a perspective from Carson Gross regarding the future of software engineering in the age of artificial intelligence. Gross asserted that computer programming fundamentally boils down to two core challenges: learning to solve problems with computers and mastering the control of complexity within those solutions. Despite the rapid advancement of generative AI tools that automate code generation, Gross maintains that these core skills will preserve the viability of programming as a career even as automated systems become more prevalent.

For software practitioners, this perspective shifts the focus away from the mechanics of writing syntax to the higher-level architecture of systems. While AI models can quickly generate boilerplate code or suggest algorithms, they often struggle with the holistic management of system complexity. Gross suggests that the ability to organize code, predict edge cases, and maintain a coherent system structure will remain a uniquely human capability. Consequently, developers who focus on mastering complexity control rather than just syntax writing will find themselves highly valued.

This outlook offers reassurance to engineers concerned about AI-driven obsolescence. Instead of replacing developers entirely, AI tools are positioned as assistants that handle routine tasks, leaving the critical decision-making and architectural problem-solving to human professionals. Gross expressed difficulty imagining a future where these cognitive skills become less valuable. For practitioners, this means that long-term career security lies in cultivating deep analytical skills and system-design expertise, rather than merely keeping up with the syntax of the latest coding languages.