The skills I think we might gain (AI) (blog.g9n.com)

A recent reflection on the impact of large language models (LLMs) on coding skills highlights a paradox within the AI/ML community: while reliance on AI tools may weaken manual coding abilities, it enhances overall productivity and decision-making for software engineers. The author reports a significant boost in project output—up to six times pre-AI levels—without a perceived decline in quality, although they note the mental fatigue that comes with managing multiple AI-driven processes. The significance of this shift lies in the evolving role of engineers, who now function more as architects and decision-makers, guiding AI tools to produce high-quality software. The author emphasizes the need for continuous skill development in decision-making, design, and problem-solving in this AI-augmented environment. As engineers adapt to these changes, they expect to see improvements in their design intuition and strategic planning, trading off some manual coding proficiency for enhanced project execution and innovation capabilities. This transformation sparks a broader conversation about the future of software engineering and the essential competencies that will define success in an AI-enhanced landscape.