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by viraptor
1134 days ago
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> This means big companies have to do something otherwise they will compete with ml enhanced developers. It's not that bad. In reality if we're looking at large tech companies, they've got senior people who know pretty much anything you want available within minutes/hours - which is something small companies just can't afford. Ml enhanced devs may be a little bit faster and get some usually-correct help, but they won't get any wisdom. |
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In my experience the great slowdown of growing companies comes from hitting the communication barrier on their products - the point at which the majority of effort is spent coordinating work rather than doing work. I find that the path from majority focus on product to majority focus on coordination isn't linear, but rather more of a watershed. One day you are 80/20, the seemingly overnight after some growth you are 20/80 the other way and never look back.
The advantage of being on the right side of that watershed is that you can maintain velocity and agility. Not only can you iterate quickly, but you're in a better position to change course and rebuild as needed. The left hand and the right hand require little effort to coordinate and get it done.
Larger companies live and die on their ability to either find a moat large enough to protect them, or build organizational structures that let them keep scaling. It takes decades to get the culture and processes right and baked in across the board for a large company to be able to maintain any velocity and reinvent itself.
This is where the gap is. Being small is easy, you simply don't have the coordination problems. But the moment you hit success and need to grow, you immediately are at a disadvantage compared to the big incumbents who have had decades to refine their coordination systems.
The extent to which AI can provide more leverage to smaller companies allowing them to "grow" without actually crossing that coordination watershed, they will be in a much better position take on the incumbents.