ChatGPT has become a valuable tool in software development, capable of generating code quickly and providing useful insights. However, directly copying large code snippets into a project without review can introduce unintended bugs, often leading to time-consuming debugging. In some cases, manually writing code from scratch may be more efficient.
Despite these challenges, there are several scenarios where ChatGPT adds significant value to coding workflows. Below are some practical examples, focusing on Python, though the same concepts can be applied to other programming languages. The goal is not just to solve problems but to demonstrate how to use ChatGPT effectively as a development assistant.
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Author: Mark Baltič
