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We are in uncharted territory - LLMs and "AI" based tools are everywhere, embedded in so much of what we do, but they are not well-understood by most. If you try to get your head around what is possible with these things, then you are faced with a barrage of marketing-speak and ill-informed hype. There is some signal in the noise, but it's very hard to stay on top of.
Technical folks struggle to find the signal in the noise, and many business brains get swept away by the hype (and by Zuckerberg's aspirational announcements... thanks, Zuk). There are a few common archetypes that have emerged:
There's the AI-ate-my-job developer, the one-with-the-vibe junior, the embrace-ai-or-get-out CEO, the cathedral-building anti-slop senior, the vc-funding-focused entrepreneur, and the not-on-my-watch IT gatekeeper. There are also people who seem to be doing things very sensibly, but it's worth looking closely at the extremes - there are a lot of pitfalls to avoid, and wisdom to be adapted and adopted (#steal-like-an-engineer).
There are clear benefits to fast iteration and quick prototypes, and adopting LLM tools on complex brown-field projects often has mixed results. It's worth knowing abou
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