How Kiro Auto uses model cascading to match the model to the work

We start with an efficient initial model. A more capable model takes over when required. Animated illustration. A coding session is drawn as a dotted trail that runs along flat, easy ground and then climbs steeply to a summit. At the trailhead, a small flag labeled initial model marks where the session begins on the efficient initial model. A small white Kiro ghost with blue accents dashes onto the trail and moves along the easy stretch, lighting the trail blue behind it. Above the trail, a lighthouse labeled independent check, in the background, shines a soft beam over the trail the ghost has already walked, from the trailhead to just behind the ghost; the ghost keeps moving and never stops for it. Where the trail turns into a steep climb, the lighthouse’s lens brightens once, and a bigger white ghost with purple accents arrives, takes a small glowing orb from the small ghost, and carries on up the climb, lighting the trail purple. The small ghost steps aside and waves, and the blue trail behind it stays lit. Text in the illustration reads “We start with an efficient initial model. A more capable model takes over when required.” TL;DR. Behind…