Feature flags let AI-built apps ship boldly and roll back instantly
Every AI feature you ship should ride behind a feature flag. That is the whole thesis: a flag separates deploying code from releasing behavior, so a misbehaving model response, a cost spike, or a half-ready assistant becomes a toggle flip instead of an emergency release. If you take one practice from this post, take that one — wrap each AI capability in a named flag with a safe default before it ever reaches production traffic.
The reason this matters more for AI-built apps than ordinary ones is that AI features carry two risks traditional features do not. First, their behavior drifts: the same prompt can produce different output after a provider-side model update you never asked for. Second, their cost scales with usage in ways that are hard to predict until real users arrive.
This is an excerpt. Read the full post at otf-kit.dev/blog/feature-flags-production-ai-app — full-stack kits your AI coding agent can actually ship to production. Browse the kits →
