AI tools are excellent at acceleration: scaffolding, refactoring patterns, and repetitive coding tasks. They are weak at business context and long-term product decisions.
The mistake is using AI to decide architecture or product tradeoffs. Those decisions require domain understanding and accountability.
Our rule is simple: AI writes drafts, humans approve systems. Senior engineers own final decisions on data models, reliability, and user-critical flows.
When used this way, AI increases delivery speed without reducing quality or strategic clarity.