Now is the best time to write code by hand
12 hours ago
- #AI Coding
- #Engineering Practice
- #Skill Atrophy
- LLMs accelerate code creation but risk skill atrophy as engineers rely on them, making deliberate practice a differentiator.
- Three incentives drive LLM adoption: social pressure from rapid prototyping hype, their effectiveness in generating working code, and human laziness.
- As more code is AI-generated, fundamental engineering skills may decline, reducing the pool of truly skilled engineers.
- Skilled engineers remain valuable for algorithmic problem-solving, system design, and architectural discussions, likely crucial for top companies and innovations.
- Over-reliance on AI tools can diminish individual engineering prowess, turning professionals into 'prompt monkeys' competing in a broader, less specialized pool.
- For entrepreneurs, using AI to build products can lead to success if scalable, but failure offers less proof of engineering capability than traditional hands-on development.