To my shame, my deep use of AI coding agents actually stemmed from something I learned six months ago from my product manager. One day, he suddenly messaged me, wanting me to see an arbitrage program he wrote using Claude Code. I initially thought it was just a small project, but when I opened it, I was stunned. His project was incredibly well-developed, primarily consisting of two core components: - Finding Arbitrage Opportunities: Comparing the funding rates of all perpetual contracts on Binance and Bybit, automatically filtering out the trading pairs with the largest differences and consistent long-term direction for backtesting to identify the best ROI and MDD (Money, Dividend, and Interest) pairs. - Cross-Exchange Arbitrage Monitoring: Monitoring the margin status of both exchanges every 5 seconds. If the margin becomes unbalanced, the system automatically allocates funds from the profitable side to replenish the position, ensuring position safety. This is already at the level of a commercial product. Many paid arbitrage tools on the market have the same underlying logic; the difference is that others use them to make money, while he uses them for his own purposes. He invested $50,000 in live trading and made money almost every day, achieving an annualized return of over 100% on good days and still around 30% on bad days. He was puzzled: "Did I overlook some risks? How can making money be so easy?" I gave him some practical advice, including liquidity caps for smaller cryptocurrencies, the risks of exchanges closing deposits and withdrawals, and risk control details such as automatic liquidation (ADL) when making too much profit. After listening, he went back and optimized the program, and the system ultimately withstood the extreme market conditions of the massive liquidations on October 11th. What impressed me most was that our product manager graduated with a degree in industrial design and had absolutely no programming background. He even learned Git on the job, and that's how he entered the world of quantitative trading using Claude Code. Because he was consistently making money, he recently had clients willing to let him manage their funds. After that day, I abandoned my professional arrogance and seriously studied Claude Code and Codex. A week later, I used Vibe to code the backtesting system for CoinKarma. The development speed and execution efficiency were on a completely different level compared to the past experience of repeatedly copying and pasting code using ChatGPT windows. This is the most important lesson I learned from our product manager: If you are truly talented, please be grateful that you live in this era. This may be the era with the lowest probability of "unrecognized talent" in human history. In the past, an amazing business intuition often died because of a lack of coding skills, the inability to afford engineers, or the long development cycle; but in the face of AI, technological monopolies have completely collapsed, and development barriers have been leveled. This means that when the cost of "implementation" approaches zero, the value of "ideas" becomes infinitely high. Previously, technology was a wall that blocked mediocrity; now, technology is the sail that carries genius. In today's world where knowledge and tools have been democratized, the only thing that limits your achievements is no longer your degree or background, but your insight into the world and the courage to invest real money to verify it after you have a clear understanding of the logic. Top-notch business acumen has finally yielded the highest realization rate in history. This is a golden age where, as long as you are "in the know," no one can bury your potential.