Google Optimizes Agent Development Kit's 200K-line Python Codebase Overnight with Gemini 4 Argon
Google's Gemini 4 Argon autonomously optimized the 200k-line Agent Development Kit Python codebase over 11 hours, using .agents/skills guidelines and Antigravity's /goal mode to preserve context. The agent introduced lazy loading and event-filtered session copying, cutting session-preparation overhead by 40% and cold import time by 21% after passing all 16,892 unit tests. These gains compound across multi-turn agent runs, shaving ~10 seconds off a 158-iteration workflow, demonstrating AI's ability to refactor existing codebases beyond greenfield generation.