Coding With AI: From a Reflection on Industrial Practices to Future Computer Science and Software Engineering Education

This overview looks at how Large Language Models (LLMs) are changing software engineering. It describes new practices such as vibe coding, AI‑assisted coding, and agentic coding. Many reports cover how individuals use AI, but we still lack the view of engineers working in industry. To fill that gap, the authors examined 57 carefully chosen practitioner videos made between late 2024 and 2025. They compared LLM‑based workflows with traditional programming. The study found that LLMs can boost productivity and lower the barrier for newcomers. At the same time, the main bottleneck shifted from writing code to reviewing it. Engineers also voiced concerns about code quality, long‑term maintainability, security vulnerabilities, ethical issues,

and the loss of basic problem‑solving skills. For B.Tech students, the paper offers a starting point for designing experiments or evaluation tools that study AI‑assisted development. It also stresses that software‑engineering curricula must adapt quickly so future developers can work effectively with both humans and AI.

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