LLMs Are Lowering Coding Cost — But They May Be Increasing Debugging Complexity

The rise of large language models (LLMs) in coding has significantly reduced the time and effort needed to write code, streamlining workflows for developers. However, while these tools make coding more efficient, they're also complicating debugging, as the nuances of code generated by LLMs can be harder to trace and fix. This shift highlights an important trade-off in tech development: the push for efficiency must be balanced against the challenges it introduces in maintaining code quality and reliability. As developers adapt to this new reality, the implications for future tech practices and debugging strategies will be significant.