The discussion revolves around the notion that coding is becoming less relevant as AI tools rise, leading to concerns about the fading understanding of systems among future developers. While basic coding tasks may decline, deeper forms of coding that require systems thinking remain crucial. The importance of preserving coding knowledge for innovative progress is emphasized.
Large Language Models are powerful, fascinating tools but the hype surrounding them has distorted what they actually offer. This post reflects on my journey through AI, from deep learning to LLMs, and why the future of work shouldn’t be about replacing humans, but about augmenting them in thoughtful, grounded, and realistic ways.
AI tools have changed how we code, but not what it means to be a good developer. This post explores the rise of “vibe coding,” the stigma around AI-assisted work, and what we lose when we confuse typing with thinking. It is a reflection on craft, responsibility, and the evolving role of the modern software…