Large language models (LLMs) have enabled AI tools that help you write more code faster, but as we ask these tools to take on more and more complex tasks, there are limitations that become apparent. Challenges such as understanding the nuances of programming languages, complex dependencies, and adapting to codebase-specific context can lead to lower-quality code and cause bottlenecks down the line.
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