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TOOLING Optimizing a 200,000-line Python codebase overnight with Gemini 4 Argon

How our engineering team ran Gemini 4 Argon unattended overnight with .agents/skills and /goal mode to cut in-memory session prep overhead…

Also reported by: HN "Gemini" (>=50pt), GitHub Changelog (Copilot), Simon Willison

Source tier 1: +25
Category TOOLING: +5 (tutorial/explainer)
Other adjustment (same-source burst decay, or scored under an earlier weighting): −5
Base score: 25
Velocity (3 corroborating sources): +15
Also mentioned by 4 other sources: +12
Age decay (32d since published): −52
Effective score right now: 0