Behind the scenes: Why AI hurts coding skills
Source: Dev.to
What happens
Many AI models (Claude, ChatGPT, Deepseek, Kimi K2) are being used to assist in coding.
Most often, people start over‑relying on them, which can weaken their own coding skills.
Common forms
- Prompt → Copy → Paste → Pray
- Script → Prompt → Copy → Paste → Pray
Effects
- If you write a script first and then ask AI to debug it, you won’t learn debugging yourself.
- The “prompt‑copy‑paste‑pray” pattern can further erode coding proficiency.
Truth about AI
AI can be wrong. It may:
- Return errors or deprecated code.
- Fail to understand or fulfill the prompt.
- Produce solutions that differ from what you imagined.
- Introduce security weaknesses that make your program easier to hack.
What most devs miss
Most developers don’t realize that AI weakens coding skills.
When over‑reliance begins, you may eventually forget basic concepts.
How AI can propagate misinformation
AI models scrape the internet and surface the most relevant results. If a deprecated coding post is deemed relevant, the AI may recommend outdated practices. It can also surface beginner‑level or nonsensical code if that matches the scraped content.
Why debugging skills decline
Over‑reliance on AI leads to a mindset that “asking AI fixes it,” leaving you ill‑equipped to debug problems on your own—often reducing your debugging ability to a beginner’s level.