AI coding has split software engineers into tribes. Meet the fans, skeptics — and those in between.

The landscape of software engineering is undergoing a seismic shift as AI technologies reshape the profession. The emergence of powerful tools like Anthropic's Claude and OpenAI's Codex has led to diverse reactions among software developers worldwide, as they grapple with the changing nature of their work. A recent survey by Stack Overflow revealed that nearly 60% of developers view AI coding tools positively, but opinions on AI's impact are far from uniform. This ongoing transformation, dubbed "The Great Coding Reset," uncovers a spectrum of perspectives among software engineers and aspiring developers, with many feeling uncertain about their roles in an AI-driven world. Some, like 47-year-old Dmitry Olev from Los Angeles, embrace the changes. Olev, who recently faced a layoff, regards AI as the latest wave in an industry that has always evolved. He utilizes AI for brainstorming, prototyping, and code generation, believing it enhances productivity and creativity. "I'm very optimistic," he stated, viewing engineers as conductors who guide AI's capabilities while maintaining oversight over its outputs. Conversely, 33-year-old Cristina Estupiñán, who spent nearly a decade in Silicon Valley software development, has grown disillusioned with the technology. After being laid off, she felt pressured to express enthusiasm for AI during job interviews, despite her concerns over its environmental impact and workplace surveillance. Estupiñán has since pivoted to a career in nursing, stating, "I can't get on the AI train. I just can't do it." Meanwhile, Dan Krzyzanowski, a developer in Chicago, sees AI as a tool that alleviates the more tedious aspects of coding, allowing him to focus on creative problem-solving. He acknowledges that while AI can simplify tasks, strong technical skills remain essential, as AI-generated code often requires careful review and debugging. In contrast, 24-year-old Maahir Sharma from Dublin initially felt a sense of loss when he began delegating coding tasks to AI. Yet, he soon recognized that his role had evolved into understanding customer needs and building products that meet those demands. This shift, he believes, has equipped him with valuable soft skills and entrepreneurial insight. Newcomers to the field, like 22-year-old Mackenzie McAllister, echo similar sentiments. After witnessing AI's growing presence during her studies, she feels underprepared for technical interviews and has shifted her career focus toward data analytics, citing increased competition in the job market. Artur Sapek, a seasoned developer, embraces AI's potential to boost productivity but remains cautious about its implications. He believes that while AI can enhance capabilities, too much reliance on it could pose risks, as evidenced by his playful protest against AI-generated recruiter messages on LinkedIn. Lastly, Matt Runchey, who took a break from software development, now finds himself in a world where job postings increasingly favor AI-driven solutions. While he is hesitant about the future of individual contributors in the field, he has adapted by leveraging AI technology to build websites for clients, creating a new niche in his career. As the field evolves, software engineers continue to navigate their roles amid the rapid integration of AI, with varied reactions reflecting the complexity of this technological revolution.