AI is getting ridiculously productive

I am making things work that I could not tackle myself. I can’t port algorithms to Nx but I can verify the outcomes. I would not put a week into foguring out how to build a vendor toolchain for some obscure GPU but it takes Claude an hour or two.

I have reworked a mmwave firmware project where I was just a bottle-neck and eventually just tooled up the build-upload-reconnect-evaluate loop so Claude could do it over MCP and it probably shipped 12 iterations before it nailed the issues but now I have the data flowing. Next we’ll start implementing more processing in Elixir.

some of this needs a lot of verification and QA on the results and it is proof-of-concept. But it also would not have been worth doing since it’d have taken me months to learn enough background to do it. Now I have spent a few days pushing three relatively ambitious efforts in the same angle forward.

It is wild. As long as they figure out the price/perfomance of these models I don’t see how our industry doesn’t change massively and weirdly. I am not necessarily enthusiastic about that but for the type of contract work I do disregarding this would be unwise.

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