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Gemini 4 Argon
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Optimizing a 200,000-line Python codebase overnight with Gemini 4 Argon
Google tested Gemini 4 Argon on google/adk-python, a 205,000-line Python framework with 800 source files and 17,000 unit tests. The model ran unattended for 11 hours, guided by a /goal prompt and .agents/skills rulefiles that encoded maintainer conventions. Argon first wrote a benchmark script, spent 70 minutes measuring before editing code, and proposed six optimizations across 32 files; two shipped after human code review. The shipped changes cut in-memory session prep time by about 40% in long sessions and sped up cold package imports by 21% by filtering events before copying and using lazy module accessors. The other four proposals were rejected for relying on fragile state, private library internals, or synthetic-only gains, illustrating a division of labor where the agent explores and the maintainer subtracts.
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