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Engineers who master AI tools and those who don't have a huge efficiency gap that has long exceeded 10 times. I have personally experienced this change.
Taking CoinKarma's quantitative strategy as an example, from initial data integration, data processing, and historical backtesting to the final actual trading operations, almost every step is completed through AI collaboration. The development model of coding while testing (vibe coding) makes iteration speeds ridiculously fast.
To be honest, I don't have a formal background in computer science. Five years ago, building such a complete trading system? It was simply impossible. The tools, documentation, and community support at that time were not on the same level.
But now, it's different. AI has lowered many technical barriers to an acceptable level. As long as you understand trading logic, know how to ask questions, and can debug, you can turn your ideas into executable strategies. This not only changes the ceiling of individual capabilities but also lowers the participation threshold for the entire quantitative ecosystem.