TL;DR: Google has staged a dramatic AI comeback, transforming from an early underdog after the flawed Bard launch into a market leader with the release of Gemini 3—a powerful AI model dominating major benchmarks in reasoning, math, and general knowledge.
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Not long ago, Google was widely dismissed as the biggest loser of the AI era. Today, it’s riding a wave of momentum that could reshape the future of artificial intelligence. In this comprehensive guide, we’ll unpack the full story behind Google’s dramatic turnaround—from the disastrous Bard launch to the meteoric rise of Gemini 3, the new anti-gravity development platform, and the rapidly evolving landscape of AI-powered coding tools. Based entirely on the November 21, 2025 episode of The Code Report, this article leaves no detail behind.
From AI Disaster to Market Leader: Google’s Stunning Reversal
In February 2023, Google launched Bard, its first competitor to ChatGPT. During the live-streamed announcement, Bard immediately hallucinated—fabricating false information—and caused Google’s stock to plummet by 9%. Critics declared the company was collapsing under its own bureaucratic weight.
Fast forward to November 2025: with the release of Gemini 3, Google’s stock surged by 6%, hitting an all-time high. Analysts now consider Google the overwhelming favorite to deliver the best AI model by year-end. This isn’t just recovery—it’s a historic comeback.
What Is Gemini 3—and Why Is It Dominating Benchmarks?
Gemini 3 isn’t just an incremental upgrade—it’s a benchmark-shattering AI model. According to The Code Report, Gemini 3 Pro has swept nearly every major AI evaluation leaderboard, including:
- LM Arena Leaderboards
- Weird ML
- Humanity’s Last Exam
- Math Arena
These aren’t niche tests. They evaluate critical capabilities like reasoning, math, general knowledge, and even abstract tasks such as detecting silhouettes of Pokémon or managing a simulated vending machine business. More importantly, they assess proximity to Artificial General Intelligence (AGI)—the point at which AI could theoretically repurpose “meatbag bodies as an energy source,” as the host humorously notes.
Real-World Validation: AMP Switches from Claude to Gemini 3 Pro
Benchmarks matter, but real-world adoption proves value. The AI development platform AMP recently replaced Claude with Gemini 3 Pro to power its coding agent. Why? Because Gemini 3 Pro “did everything Sonnet 4.5 did, but better.” This is a powerful endorsement from a production-grade system.
Did Google Just Invent Anti-Gravity? (Spoiler: No—but It’s Still Revolutionary)
Amid the Gemini 3 hype, Google unveiled another major announcement: a technology called anti-gravity. Despite the sci-fi name, it’s not a propulsion system for flying cars. Instead, it’s a new VS Code fork designed specifically for agentic coding with Gemini.
The name is playful, but the tech is serious—and it’s the direct result of Google’s $2.4 billion acquisition of Windsurf in July 2025.
The Windsurf Connection: How a Stealth Startup Powered Google’s New Tool
In July 2025, the co-founders of Windsurf abruptly left their company, taking a non-exclusive license to their technology, and joined Google in a $2.4 billion deal. For months, there was radio silence—until now.
Their work has materialized as anti-gravity, a new agentic development platform led by the former Windsurf founders. The platform enables developers to delegate complex coding tasks to AI agents, effectively turning the programmer into a “manager of agents.”
“Congratulations, you have been elevated to a manager of agents.”
This quote from Google’s announcement video underscores a paradigm shift: instead of writing code line-by-line, developers now orchestrate AI teams that handle implementation autonomously.
Inside Anti-Gravity: Features, Legacy, and Easter Eggs
Anti-gravity isn’t built from scratch. It carries clear DNA from Windsurf’s original agent, named Cascade. In fact, the transcript notes that Google “forgot to rename Cascade,” leaving the original agent name intact—an amusing oversight that reveals the rushed integration.
As the host quips: “It’s turtles all the way down,” highlighting the layered, recursive nature of modern AI tooling.
How Anti-Gravity Compares to Other AI Coding Editors
Google isn’t alone in the agentic coding race. Several competitors are vying for developer mindshare:
| Tool | Backer | Key Features | Status |
|---|---|---|---|
| Anti-gravity | Google (ex-Windsurf team) | VS Code fork, agentic coding with Gemini, Cascade agent | Live (Nov 2025) |
| Chad | Y Combinator | Integrates “brain rot devices” (TikTok, Tinder, gambling) into coding workflow | Active |
| idx / Firebase Studio | Web-based editor, now rebranded as Firebase Studio with AI agents | Rebranded (idx is “dead”) | |
| Jules | Autonomous coding agent | Active | |
| Notepad++ | Community | Traditional code editor (non-AI) | Still preferred by some) |
Notably, Google’s own idx editor has been discontinued and rebranded as Firebase Studio, which now “accelerates your entire development life cycle with AI agents.” Meanwhile, Jules operates as a standalone autonomous agent—distinct from anti-gravity’s collaborative model.
Chad: The “Brain Rot IDE” Challenging Google
Among anti-gravity’s fiercest rivals is Chad, an IDE backed by Y Combinator and dubbed the “brain rot IDE.” Unlike traditional tools, Chad integrates entertainment and distraction directly into the development process.
Developers can gamble, watch TikTok, or swipe on Tinder while AI agents work in the background. While unconventional, this reflects a growing trend: AI handles the labor, while humans manage, monitor, or multitask.
Why Benchmarks Still Matter (Even If They’re Flawed)
The host acknowledges a common critique: “Benchmarks aren’t everything.” However, he counters that “it’s been a minute since we’ve had a new model release dominate across so many [benchmarks] at the same time.”
This dominance signals not just raw performance, but versatility—the ability to excel across diverse, often unpredictable tasks. In the race toward AGI, that breadth may be more important than depth in any single domain.
The Singularity Question: Is Gemini 3 a Step Toward AGI?
The video opens with a provocative question: “Does Gemini 3 get us closer to the singularity, or did Bard just get its hands on some of Brian Johnson’s magic mushrooms?”
While the latter is clearly satire, the former is being taken seriously. Gemini 3’s performance across reasoning, math, and simulation-heavy benchmarks suggests it’s inching toward general intelligence. The fact that it can manage complex, multi-step agent workflows (as seen in anti-gravity) further supports this trajectory.
Timeline of Google’s AI Evolution (2023–2025)
To understand the magnitude of Google’s turnaround, consider this chronological breakdown:
| Date | Event | Outcome |
|---|---|---|
| February 2023 | Launch of Bard | AI hallucination during demo; stock drops 9% |
| July 2025 | Google acquires Windsurf for $2.4B | Windsurf co-founders join Google with non-exclusive license |
| November 2025 | Release of Gemini 3 and anti-gravity | Stock rises 6% to all-time high; dominates benchmarks |
Developer Tools Ecosystem: Who’s Winning the Agentic Coding War?
The agentic coding space is heating up. Google now fields multiple tools:
- Anti-gravity: Desktop-based, VS Code-compatible, agent orchestration
- Firebase Studio: Web-based, full lifecycle AI acceleration
- Jules: Fully autonomous coding agent
Meanwhile, Chad appeals to a younger, distraction-prone demographic by blending productivity with entertainment. The diversity of approaches suggests there’s no one-size-fits-all solution—yet.
Practical Implications for Developers
If you’re a developer, here’s what this means for you:
- Experiment with anti-gravity if you use VS Code and want to delegate coding tasks to AI agents.
- Monitor Firebase Studio for web-based, end-to-end AI-assisted development.
- Consider Chad if you prefer a multitasking-friendly environment (though it may not suit serious production work).
- Don’t ignore benchmarks—Gemini 3’s dominance suggests it’s worth integrating into your stack, especially for complex reasoning tasks.
Sponsor Spotlight: Mobin.com—Accelerate UI/UX Design with Real App Insights
The video is sponsored by Mobin.com, a tool the host has used for 5 years. Mobin provides:
- Detailed breakdowns of every screen in thousands of popular apps
- Ability to analyze specific UI elements or entire user journeys (e.g., onboarding, checkout)
- One-click export to Figma to kickstart your own designs
- New animations collection showcasing whimsical interactions from top apps
These insights help “get our smooth monkey brains hooked on their products”—a nod to persuasive design psychology. Readers can try Mobin for free and use the video’s link for an extra 20% discount.
Cultural Shift: From Beyblades to Benchmark Battles
The host wistfully recalls a time when “gifted kids would get their wiggles out by holding Beyblade battles in between Johnny Bravo reruns.” Today’s “cool kids” design elaborate AI benchmarks—testing everything from Pokémon silhouette detection to simulated business management.
This shift reflects AI’s cultural saturation: performance evaluation has become a form of intellectual sport and creative expression.
Troubleshooting & Caveats
Despite the hype, be aware of potential pitfalls:
- Over-reliance on benchmarks: Real-world performance may vary.
- Tool fragmentation: Google’s multiple editors (anti-gravity, Firebase Studio, Jules) may confuse users.
- Easter egg risks: Unrenamed components like “Cascade” suggest rushed releases—test thoroughly before deploying in production.
Future Outlook: What’s Next After Gemini 3?
If Google maintains this trajectory, we can expect:
- Tighter integration between Gemini models and development tools
- More acquisitions of agile AI startups (like Windsurf)
- Further blurring of lines between human and AI roles in software engineering
The “manager of agents” paradigm may become standard—ushering in an era where coding is less about syntax and more about strategy, delegation, and oversight.
Conclusion: Did Google Just Win the AI War?
Based on the evidence from November 2025, the answer is leaning toward yes. From stock performance to benchmark dominance to real-world adoption by platforms like AMP, Google has executed a near-flawless comeback.
Gemini 3 isn’t just another model—it’s a signal that Google has finally aligned its AI research, product strategy, and engineering execution. Combined with tools like anti-gravity, it’s positioning developers for a future where AI doesn’t just assist—but leads.
1. Test Gemini 3 Pro for complex reasoning and coding tasks.
2. Try anti-gravity if you’re a VS Code user interested in agentic workflows.
3. Explore Mobin.com to accelerate your UI/UX design with real-world app data.
4. Keep an eye on the agentic coding space—it’s evolving faster than ever.
This has been your complete, transcript-accurate breakdown of Google’s AI resurgence. Stay curious, stay skeptical, and keep coding.
