According to Andrew Ng, over 100 developers at a Buildathon hosted by AI Fund and a linked organizer used AI-assisted coding to build functional software products within 1–2 hours, showcasing rapid prototyping best practices he observed (source: Andrew Ng on X, Aug 21, 2025). According to Andrew Ng, this verified datapoint of active AI developer engagement and accelerated build cycles can be logged by traders tracking AI-exposed equities and crypto infrastructure themes for sentiment monitoring, without implying price direction (source: Andrew Ng on X, Aug 21, 2025).

According to Balaji (@balajis), AI excels in rapid prototyping within cryptocurrency trading but faces challenges in polished production due to the complexity of real-world markets. This suggests traders should leverage AI for initial analysis and idea generation while relying on human expertise for final decision-making. Balaji emphasizes the importance of using AI as a tool for scanning market needs and converting insights into actionable strategies, highlighting its role in enhancing, not replacing, human judgment in trading [source: Twitter].