ChatGPT: The Good, the Bad, and the Risky for Developers

## 1. Over-reliance on Automation Automating repetitive tasks is good. Every developer loves that. However, relying too much on tools like ChatGPT can be risky. You could forget your core coding skills. You may end up just supervising automated processes, rather than coding yourself. These days I’m using ChatGPT extensively to handle all my debugging. Over time, I lost touch with the essential skill of troubleshooting independently. When ChatGPT couldn’t solve a tough problem, I found myself completely stumped. … ## 3. Accuracy and Reliability Issues ChatGPT has limits. It’s not always right. Some developers have trusted it too much and faced problems. For instance, they found bugs or security risks in the code. I had a similar experience. I used ChatGPT to write some backend scripts. At first, things looked fine. Later, I found security flaws. Always validate the code you get from AI tools. … ## 7. Accessibility and Usability ChatGPT’s user-friendly design is a double-edged sword. While it makes coding tasks more convenient, it can also create a false sense of security. Developers may overlook mistakes in the code it generates. In a recent survey, something surprising came to light. A substantial 40% of developers have used code from ChatGPT without double-checking it. This choice could risk the reliability of their projects.