I recently conducted an interesting test on AI's capabilities in building cryptocurrency exchanges.

The scenario setup was straightforward: have AI simultaneously play the roles of CSO and CTO, designing a complete exchange from scratch. This isn't just a simple word game—it's a complex task involving substantial workload.

The specific tasks covered several dimensions: starting with user research and business model analysis in emerging markets like Nigeria, then designing the product architecture based on market demand. On the technical side, it was more hardcore, requiring the development of core code for a Rust matching engine, which directly impacts the exchange's performance ceiling. Additionally, considerations included API design, risk control mechanisms, wallet integration, and an entire system set.

The entire process took about 2 hours, culminating in a design document that included a complete MVP framework. Although it wasn't professionally audited, from the perspective of technical completeness and practicality, it demonstrated the feasibility of current AI in complex engineering projects.

What’s particularly interesting about this experiment is that it proved AI can handle coordination tasks at a fairly high level of expertise, from market analysis on the business side to code implementation on the technical side, with a coherent logical chain. For Web3 entrepreneurs, this could change some perceptions about development cycles and resource allocation. Of course, final implementation still requires human review and optimization, but as a starting point for validating technical solutions, the efficiency is definitely worth noting.