How Instagram Direct engineers built AI-native UI architecture with Jetpack Compose and reduced token cost per agent session by 33%
Posted by Pavlo Stavytskyi, Software Engineer, Meta and Rebecca Franks, Developer Relations Engineer, Google This blog post is written in collaboration with the Meta team. Instagram Direct is one of the core surfaces on Instagram, handling billions of user messages every single day. Over years of iteration, the team squeezed every micro-optimization possible out of the legacy Android View system.…
Instagram Direct, a key messaging platform for the social media app, has undergone a major transformation thanks to advancements in AI and the adoption of Jetpack Compose. This modernization effort has resulted in a 33% reduction in token cost per agent session, as well as improved efficiency in AI agent execution and fewer exchanges between engineers and AI assistants.
By redesigning the codebase to be AI-native from the ground up, the team was able to minimize dependencies on custom context and provide clear boundaries for AI agents to work within, ultimately leading to more reliable and high-quality outputs.
Written by urgent.news from Android Developers Blog's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
