The next wave of AI products may be won on latency and cost rather than benchmarks
hardest part getting teams to trust it in production. What is the biggest adoption hurdle for early users?
I suspect an era where software output matters less than leverage. If one engineer with AI can replace weeks of work, metrics like LOC and story points become almost meaningless
The next wave of AI products may be won on latency and cost rather than benchmarks
hardest part getting teams to trust it in production. What is the biggest adoption hurdle for early users?
I suspect an era where software output matters less than leverage. If one engineer with AI can replace weeks of work, metrics like LOC and story points become almost meaningless