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How many AI tools are you using to build one product?

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Building one product with AI somehow turned into using five different AI tools. 😅

One for planning.
Another for coding.
Another when the first one gets stuck.
Another for debugging.
And somehow... another subscription gets added.

AI is making us faster, but I'm starting to wonder if tool switching itself is becoming the new bottleneck.

For those actively building products with AI:

How many AI tools are actually part of your workflow right now?

And if you had to keep only one, which one survives? 👀

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Spot on about context switching being the new bottleneck, half my day is spent copying error logs from my terminal into ChatGPT, then pasting code back to Cursor. We desperately need an all-in-one ecosystem.

three for me right now, but the honest answer is they stopped feeling like separate tools once one of them could read the actual repo instead of me pasting into it. claude code for anything touching the codebase directly, since it just reads the files and runs the tests itself, no copy-paste round trip. a browser-based model for anything that's pure thinking, planning, spec writing, stuff with no file to open yet. and occasionally a second coding agent just to get a different opinion when the first one is confidently wrong about something.

if I had to keep one, it's the one that can read my code without me feeding it code. the switching cost isn't really about the number of tools, it's about how many of them require you to be the copy-paste layer between them.

 That’s a really good distinction. The problem isn’t necessarily how many AI tools we use, but how much context we have to manually carry between them. Once the tools understand the actual project and share context, switching models can become an advantage rather than a bottleneck.

chat gpt is my go to... helps me to synthesize thoughts, ideas, or questions quickly and efficiently because it has gotten to know me pretty well. Claude is my pressure testing platform...