●MODEL — Gemma 4 is now available in Google AI Studio and the Gemini API●AGENT — Managed Agents enter public preview, running autonomous agents in isolated sandboxes●MODEL — Gemini 3.5 Flash reaches GA for agentic and coding tasks●STUDIO — Google AI Studio adds Workspace integrations and one-click deploy to Cloud Run●STUDIO — You can now build native Android apps in the AI Studio build tab●MIGRATE — Gemini Code Assist IDE extensions and CLI ended for individuals on June 18; move to Antigravity●MODEL — Gemma 4 is now available in Google AI Studio and the Gemini API●AGENT — Managed Agents enter public preview, running autonomous agents in isolated sandboxes●MODEL — Gemini 3.5 Flash reaches GA for agentic and coding tasks●STUDIO — Google AI Studio adds Workspace integrations and one-click deploy to Cloud Run●STUDIO — You can now build native Android apps in the AI Studio build tab●MIGRATE — Gemini Code Assist IDE extensions and CLI ended for individuals on June 18; move to Antigravity

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gemini-api¹ operations¹ cost-optimization¹ pipeline¹

⬡ Gemini Advanced/2026-07-02Advanced

After You Improve the Prompt, How Far Back Do You Regenerate? — Designing a Budget-Bounded Backfill

A prompt improvement only helps future output — thousands of old artifacts stay on the previous generation. This piece covers a budget-bounded backfill: selection scoring, edit-detection hashes, a pre-replacement gate, and a resumable cursor, with working code.