Google finally dropped Gemini 3. The hype was loud, the stakes were higher, and the first wave of benchmarks and hands-on impressions say this is a real step up. It ships across Search and the Gemini app on day one, brings a new agentic coding platform called Antigravity, and posts strong scores in reasoning, multimodality, and coding.

TDLR:

• What is happening? 👀

• Under the Hood⚙

• Why you should care 🔍

• Who is doing what 💡

• Hurdles ahead ⚠️

• Looking forward 🔮

• The Bros’ Take 🤔

Google unveiled Gemini 3 and pushed it live immediately in the Gemini app, in AI Search mode, and to developers through AI Studio and Vertex.

There is also a new agentic development environment called Antigravity that lets multiple AI agents plan, write, test, and verify code with direct access to editor, terminal, and browser.

This launch leans hard into practical agent workflows rather than a slideware tease.

Stronger reasoning and multimodal performance. Google’s materials and early independent roundups show Gemini 3 Pro topping or matching leading models on a broad set of reasoning and coding evaluations, with a new Deep Think mode for harder problems. Treat benchmarks as signalling, then test for your own tasks.

Agentic development with Antigravity. Antigravity is an agent-first coding environment. Agents can orchestrate multi step tasks, operate tools, and produce Artifacts that document what happened for auditability. Available now in public preview.

Ship at Google scale. Google claims Gemini 3 arrives day one inside Search experiences and the consumer Gemini app, rather than a long pre-announce

Agents move from demo to daily. Antigravity is not just code completion. It is a work surface where agents plan, browse, run terminals, and self verify. If it holds up in production, that is a meaningful shift in developer productivity and software delivery speed.

Ecosystem scale matters. A model upgrade is one thing. Shipping it into Search, the Gemini app, and developer tooling on the same day is the lever. With hundreds of millions of consumers and millions of builders, small percentage gains turn into real world impact.

Market narrative. There has been talk of an AI plateau and bubble nerves. Strong capability bumps and real tools nudge the story back toward execution.

Google DeepMind and Google Cloud. Model, consumer app, Search integration, and developer stack, all under one roof.

Antigravity team. Shipping the agent-first IDE with support for Gemini 3 Pro and the ability to orchestrate multiple agents across workspaces.

Some previews mention support for other models as well.

Developers and partners. Google highlights uptake across AI Studio, Vertex, and familiar IDE integrations. Early hands-on reports point to faster coding and stronger computer use skills. Your mileage will vary by workflow.

Benchmarks versus reality. Scores are useful, but production value lives in latency, stability, and long context reliability. Run your own evals before big migrations.

Agent safety and observability. Giving agents browser and terminal control demands robust guardrails and transparent logs. Antigravity’s Artifacts and recordings are a good start, but teams will need policy and monitoring.

Platform lock-in risk. The more value shifts into Google-managed agent surfaces, the more you should plan for portability and second sourcing. Consider multi model designs where sensible.

Expect a near term wave of agentic workflows in coding, QA, growth ops, research, and internal tooling, with Antigravity as a reference for how an agent should plan and verify work.

With Search and the Gemini app already carrying Gemini 3, consumer reach will pressure rivals to respond quickly. Watch for rapid iteration in computer use, UI generation, and multi agent orchestration.

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This is not just another model bump. Google shipped model, distribution, and a credible agent surface on the same day.

That combo is the story. If Antigravity delivers at scale, developer teams will quietly shift hours of glue work to agents, and that is how adoption sticks.

And that's it for today! Thanks for reading ♥️

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