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That is true in some cases. However, there are many cases where writing the code IS the bottleneck. Experiments, trying different approaches, well defined code.

Examples:

This morning Claude Code built a browser-based app that visualizes 3.8M lines of JSON dumps of AWS infrastructure. Attention required by me: 15 minutes. Results: Reasonable for a 1-shot.

A few weeks ago I had it build me a client/server app in multiple flavors from a well defined spec: async, threaded, and select, to see which one was the most clear and easy to maintain.

A few days ago I gave it a 2K line python CLI tool and said "Build me a web interface to this CLI program". It nearly one-shotted it (probably would have if I had the playwright MCP configured).

These are all things I never would have been able to pursue without the LLM tooling in the past because I just don't have time to write the code.

There are definitely cases where the code is not the bottleneck, but those aren't the only cases.


I agree. Cursor has been amazing for me to write small test/validation scripts, write tedious code that wasn't very interesting to me, or perform some experiment.

I can forget about the details and care more about architecture, how things connect, etc.

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