However, the goal appears to be acceleration rather than full replacement. Leadership across these firms frames AI as a productivity multiplier that helps smaller teams ship faster, reduce repetitive work, and focus on higher-level engineering tasks.

That said, the shift is raising concerns. Critics argue that tracking AI usage or token consumption could prioritize volume over quality, while supporters see it as a natural evolution toward faster product cycles in competitive crypto markets.