The article discusses the role of LLMs in coding, particularly in embedded systems, emphasizing that while AI can assist, it increases the need for critical thinking and responsibility rather than replacing engineers. It highlights studies showing AI may not always boost productivity and can even slow experienced developers, stressing the importance of adapting education and engineering practices. The author shares personal observations and calls for a balanced, thoughtful approach to AI integration.
Background
LLMs are increasingly used in software development, raising questions about their impact on productivity, job roles, and engineering practices, especially in specialized fields like embedded systems. Research is emerging to evaluate their effectiveness and challenges.
- Source
- Lobsters
- Published
- Mar 30, 2026 at 02:15 AM
- Score
- 5.0 / 10