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I think when the answer becomes more important than the journey, AI tools become more valuable. Want to figure out why a bug is occurring? Tools like Claude Code can be great for this. Implementing a new API or feature? You’ll have to read all the code it wrote, and if you’re like most software engineers, you’ll be faster at writing code than reading it. So you might as well just write it yourself.

This has helped to explain why, at least for me, LLMs have been more useful for reading code than writing code. I’m also just reluctant to submit the code it’s written on my behalf without making hundreds of small adjustments, but I think I’ll need to get over that, as I wouldn’t be so nit-picky a junior engineer were completing the task.



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