- Google is reportedly creating an AI strike team to challenge Claude Code
- The company wants to build AI agents that can help with coding and research
- Still, the result may never be released to the public
One of the most significant ways in which AI is changing the world is through the emergence of AI agents that can write code. Instead of spending hours creating and debugging code, programmers are now able to simply ask an AI model to come to work for them.
Google’s Gemini AI is quite adept at this, but it’s not good enough for the company, which has reportedly been so rattled by the advances of rival Anthropics and its Claude Code AI agent that Google has formed a “strike team” to tackle the problem.
In fact, according to a report by The Information, Google co-founder Sergey Brin has warned that Google cannot afford to waste any time. In a memo to the company’s AI engineers and researchers, Brin wrote: “To win the final sprint, we must urgently bridge the gap in agent execution and make our models primary developers” of the final code.
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And this is not just some practical effort by Google’s management team. Both Brin and Google DeepMind Chief Technology Officer Koray Kavukcuoglu have been “directly involved in the strike team, showing its importance to Google’s senior management,” claims The Information. It aptly illustrates how seriously the company appears to be taking the threat posed by Anthropic.
Will it ever see the light of day?
What is Google aiming for here? Well, the most obvious answer would be to maintain a competitive advantage over a popular rival in a burgeoning field that stands to make dominant companies a boatload of cash.
But there is more to it than that. As The Information noted, “the end goal is Al takeoff, or Al that can improve itself, which has been a particular focus of Google co-founder Sergey Brin.”
In fact, the report puts it this way: “An advanced coding agent, combined with Al that can solve mathematical problems and run experiments, could one day automate the work of Al scientists and engineers on a large scale.” It’s something another rival, OpenAI, has already developed for its own researchers working on internal AI projects, with the company also building a GitHub rival to help streamline its employees’ work.
The priority seems to be improving Gemini’s ability to work with Google’s own code. That would improve its performance when used by Google engineers and researchers for their internal projects, with less emphasis placed on coding tools for everyday coders sitting outside the organization. Given that an improved AI agent will have been trained in Google’s code, it could not be released publicly.
So before you get your hopes up, you might not see the work of Gemini’s strike team, at least not at first. But as this report points out, the improved internal tools “could theoretically help create better models that could then see a public release.”
For now, all we can do is wait and see if Google is able to close the gap between its own AI agents and Anthropic’s Claude before the gap becomes insurmountable.
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