I recently picked up the widely hyped Xteink X4 e-reader, in one of those moments where I can happily justify purchasing more tech in pursuit of improving my life.
Of course I immediately installed the open-source Crosspoint Reader firmware on the device, which led to a novel realisation. (heh)
It's hard to avoid the refrain that AI is out for our jobs. That all developers will be replaced by LLMs and we'll all have to brush up on our prompt engineering or just become gardeners (tempting, to be honest...).
But developers don't just write code, we also know how everything actually works. Which systems are held together with wishes and crossed fingers. We're deeply embedded in how companies operate, and more often than not, we're what's keeping the lights on.
The king of LLM blogging, Simon Willison, has a great overview on using LLMs to write code.
Using LLMs to write code is difficult and unintuitive. It takes significant effort to figure out the sharp and soft edges of using them in this way, and there’s precious little guidance to help people figure out how best to apply them.
Even if you’re not sold on how LLMs can boost your development, I’d highly recommend that learning to manipulate them to your benefit is a skill worth learning.
It is 2021, a blog can't exist without an "I trained an AI" post like these trailblazers:
So here we are.
If there's something you'd like me to write about, feel free to reach out!
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