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One mode I felt was missed was "thought partner", especially while debugging (aka rubber ducking).

We had an issue recently with a task queue seemingly randomly stalling. We were able to arrive at the root cause much more quickly than we would have because of a back-and-forth brainstorming session with Claude, which involved describing the issue we were seeing, pasting in code from library to ask questions, asking it to write some code to add some missing telemetry, and then probing it for ideas on what might be going wrong. An issue that may have taken days to debug took about an hour to identify.

Think of it as rubber ducking with a very strong generalist engineer who knows about basically any technical concepts.



I found myself doing this with o1 recently for software architecture.

I will evaluate design ideas with the model, express concerns on trade-offs, ask for alternative ideas, etc.

Some of the benefit is having someone to talk to, but with proper framing it is surprisingly good at giving balanced takes.


The new video and screen-share capabilities in ChatGPT and Gemini should make rubber-ducking smoother.

I feel like I've worn out my computer’s clipboard and alt-tab keys at this stage of the LLM experience.


You may want to try any of the tools that can write to the filesystem so you're at least not copy pasting code from a chat window. CoPilot, Cursor, Aider, Tabnine, etc.




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