UPDATED 13:52 EST / APRIL 15 2024

Gabe Monroy, vice president of developer experience at Google Cloud, talks with theCUBE about new AI tools for developers during Google Cloud Next 2024. AI

Gemini Code Assist draws developer interest in Google Cloud’s expanding AI role

One of the key takeaways from Google Cloud Next in Las Vegas last week was that developers will have a major say in which companies get to shape the future direction of artificial intelligence.

This was noted by SiliconANGLE co-founder and research analyst John Furrier on theCUBE Pod following last year’s Google Cloud Next gathering, and this year’s event served to reinforce developers’ influential role. Among the many announcements during the week was the news that Google’s Duet AI for Developers has now evolved into Gemini Code Assist, which offers enterprise-grade coding support powered by the Gemini 1.5 AI model and context window tokens for processing data.

“There’s a real clear signal that I’ve gotten from the customer meetings and individual developer meetings that I’ve had,” said Gabe Monroy (pictured), vice president of developer experience at Google Cloud. “What’s happening with Gemini Code Assist, what’s happening with the large context window, with some of the deep model innovations powered by our integrated stack of infrastructure is really capturing people’s attention and causing folks to take a deep look at what we’re doing.”

Monroy spoke with theCUBE Research analysts Furrier, Savannah Peterson and Dustin Kirkland at Google Cloud Next 2024, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed how Google’s Gemini AI initiative offers significant opportunities for developers and partners. (* Disclosure below.)

Google Cloud optimizes for processing efficiency

Google’s most complex and largest model to-date is Gemini 1.5 Pro, with 1 million tokens and the ability to process video with audio. However, Google is mindful of speed as well, so it is structuring AI offerings for developers with options for faster processing efficiency, according to Monroy.

“We do in fact use Gemini 1.5 Pro with a million token context window … but we don’t use that for everything,” he said. “We want to make sure we’re optimizing for latency. We use different models tuned at different levels to provide a really seamless experience as folks are authoring.”

Google’s release of Gemini in December noted that the company would partner within the industry ecosystem to build collaboratively and mitigate security risks. Monroy pointed to sessions during Google Cloud Next that featured speakers from AI providers Vercel, Honeycomb, Spring and Snyk as evidence of his company’s commitment to partnerships.

“We are taking ecosystem development incredibly seriously because our belief at Google is we have to meet developers where they are,” Monroy said. “We’re not trying to enforce a Google-centric tool chain on our audience. Partners are digging in.”

Google’s work with Gemini Code Assist and other AI services highlights the groundwork being laid towards a future where artificial intelligence will progress rapidly beyond query-generated responses.

“A future of connected agents, that to me is what this is all about,” Monroy explained. “Pretty soon these models are going to turn from simple prompt and response interactions towards providing some intents. You’re starting to see these capabilities with our large context window and capabilities we have with full code base awareness and Gemini Code Assist. That to me is really the future.”

Here’s the complete video interview, part of SiliconANGLE’s and theCUBE Research’s coverage of Google Cloud Next 2024:

(* Disclosure: TheCUBE is a paid media partner for Google Cloud Next 2024. Neither Google LLC, the primary sponsor for theCUBE’s event coverage, nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)

Photo: SiliconANGLE

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