How to Keep Thinking (www.seangoedecke.com)

In a reflective exploration of working with AI models in 2026, the author likens the experience to a fast-paced game show, where rapid task management often replaces deep thinking. As AI increasingly handles routine data and coding tasks, professionals face pressure to process multiple AI outputs quickly, leading to concerns about the erosion of critical thinking skills. The author argues that while leveraging AI efficiency is essential to remain competitive, it risks promoting a superficial engagement with ideas and problem-solving. To counteract this trend, the author advocates for the dual practices of writing and reading dense, non-fiction texts. Writing in one's own words fosters deeper articulation of thoughts, while careful reading enables richer understanding of complex concepts. This combination not only rejuvenates cognitive capabilities but also prepares individuals for challenges beyond the current capacity of AI, highlighting the ongoing need for thoughtful engagement with complex problems in software engineering. Ultimately, balancing the efficiency of AI with the necessity of slow, deliberate thinking may be crucial for personal and professional growth in the evolving tech landscape.