I don’t believe your data. Velocity on my team has gone up 7x on my team over the last two months. I’m having a hard time riding product and my business analysts because they’re not coming up with stories fast enough. We’re actually thinking of having an intervention for them because they’re not using LLMs nearly as much as they should be. Designers are still hand placing components in figmas.
Agreed, people confuse the (totally expected) bumps and bruises of early adoption with somehow equating to "this technology is useless."
The Wright Brothers couldn't cross the Atlantic in their first flier and plenty of subsequent designs crashed and burned (literally). But now air travel is commonplace. Same will happen with AI, we just have to get past these early pains.
I brought data to this discussion. What did you bring?
Your data shows a 20% improvement. That's $20-100k a year depending on how much devs are paid.
You just compared this AI shift to "tractors on farms". Did tractors increase farming output by 20%?
The first tractors in 1911 or whatever probably did. 50 years on and it was many times that.
They dont show that. They show 20% more PR. That is not the same as 20% more productivity.
I don’t believe your data. Velocity on my team has gone up 7x on my team over the last two months. I’m having a hard time riding product and my business analysts because they’re not coming up with stories fast enough. We’re actually thinking of having an intervention for them because they’re not using LLMs nearly as much as they should be. Designers are still hand placing components in figmas.
Agreed, people confuse the (totally expected) bumps and bruises of early adoption with somehow equating to "this technology is useless."
The Wright Brothers couldn't cross the Atlantic in their first flier and plenty of subsequent designs crashed and burned (literally). But now air travel is commonplace. Same will happen with AI, we just have to get past these early pains.
Bad analogy. Horses were the automagic being replaced.