Logan Kilpatrick is one of the most plugged-in minds at the intersection of AI, product development, and developer experience. In this wide-ranging conversation, he sits down with Forward Future to talk about DeepMind’s evolution, the Windsurf acquisition, the future of AI interfaces, and why coding still matters—maybe more than ever.
He offers candid takes on the tradeoffs between voice, vision, and screen-based interactions, explains Google’s edge in scaling infrastructure with TPUs, and outlines how reasoning models and post-training are reshaping what scaffolding even means.
Whether you’re a builder, researcher, or product leader, Logan’s vision is clear: the next wave of AI isn’t just about smarter models, it’s about making them feel native, useful, and human-centered.
Key Moments from the Interview
00:00 – Developer AI’s Second Wave
From GitHub Copilot to DeepMind’s Windsurf acquisition.
07:00 – Founders & the Talent Play Trend
Why team-only acquisitions may hurt the startup ecosystem.
12:30 – Form Factor Futures
Why voice, screens, and glasses will all coexist.
17:45 – The Case for Coding
Why learning to code is still the best way to master AI.
23:15 – Browsers, Agents & Internet 2.0
A future where agents—not users—visit websites.
29:30 – Models Becoming Systems
Post-training, memory, tool use, and where to build next.
35:10 – Vibe Coding & the 100M Developer Vision
Bringing users along as they code with AI.
42:00 – Gemini, Scaling Laws & The TPU Advantage
How Google is competing in an increasingly crowded race.
Full Interview: Logan Kilpatrick: Windsurf Acquisition, Gemini 3, Agentic Browsing, Veo 4, and more!
In His Own Words: What Logan Kilpatrick Revealed
Developer Tools Are Back (00:00)
The Windsurf acquisition signals a renewed focus on developers.
A few years ago, everyone assumed Copilot had ‘won’ dev tools. But now, it’s clear: developers are changing how they build software, and we’re just getting started.
Team Acquisitions ≠ Healthy Ecosystem (07:00)
Logan isn’t sold on the trend of acqui-hiring without product integration.
I think it’s a bad outcome for the startup ecosystem when the product gets left behind. M&A should ideally be about more than just talent.
Beyond Chat: What Comes After Voice? (12:30)
Glasses, audio, and invisible agents are all in the mix—but the real battleground is context.
The holy grail is models having the same context as the user. That’s why vision, screens, and local agents are so powerful.
Humans Still Want Control (17:00)
Even as agents get smarter, users want to stay in the driver’s seat.
There are things I want AI to do for me, like scan 500 websites. But when I’m buying a gift for someone I love, I want to be the one making that decision.
Coding Isn’t Going Anywhere (17:45)
Natural language helps—but code is still the real superpower.
To do the advanced stuff, you need to learn how to code. AI tools can guide you, but the deepest leverage comes from knowing what’s under the hood.
Browsing Without Browsing (23:15)
AI agents may reshape how we interact with the web entirely.
There will be entire categories of websites I won’t need to visit anymore. That’s a huge opportunity—and a challenge—for the internet.
Models Are Becoming Agentic by Default (29:30)
The line between LLM and agent is already blurring.
Models are spinning up browsers, reasoning through steps, calling APIs—what we call an agent today will just be a model tomorrow.
Where to Build as a Founder (31:00)
Scaffolding still matters—but only if it’s future-proof.
Bet that models will get better fast. Build scaffolding that adapts, not scaffolding that’s obsolete in 6 months.
Bringing in 100M New Devs (35:10)
Vibe coding is more than automation—it’s education.
Most AI tools don’t bring users along for the ride. We want to show people what’s happening, teach them the concepts, and make coding feel accessible.
Google’s Edge: Scale, Modalities, and TPUs (42:00)
When you serve a billion users, infrastructure becomes a moat.
Gemini is being deployed in search—for free—to 1.5 billion users. You can’t do that unless you control the entire stack, from the model to the silicon.
Key Takeaways
The Future of Interfaces Is Context-Aware
Whether it's screen-based, voice-first, or AR-enabled, the most successful AI UIs will adapt to users’ environments in real time.
AI Agents Will Redefine the Web
As agents become capable of navigating and transacting online, many current websites will see a steep drop in human traffic.
Scaffolding Isn’t Dead—It’s Evolving
Founders should design systems that account for rapid model improvements while solving for today’s friction.
Coding Is a Gateway Skill
Despite the rise of no-code tooling and natural language interfaces, knowing how to code unlocks faster iteration, finer control, and deeper understanding.
Infrastructure Is a Competitive Advantage
Google’s ownership of TPUs, search distribution, and multi-modal research allows it to scale AI in ways others can’t.
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