AI: Google ups its Game for AI Developers with Gemini CLI. RTZ #763
...now neck and neck with OpenAI & Anthropic on AI Coding tools for developers
As discussed often here at AI: RTZ, tens of millions of developers globally are a core, and existential constituency for LLM AI companies in this AI Tech Wave. For everything from API access to the latest popularity of ‘vibe coding’.
Both OpenAI and Anthropic have been focused on this, both directly and via their core partners Microsoft and Amazon/Google respectively. Google has been in this race too, both with its multitude of AI Gemini models via APIs and its Google Cloud platform for developers and enterprises.
Developer focus is one that echoes for the industry from the earliest days of the PC tech wave, as epitomized by Microsoft co-founder Steve Ballmer decades ago. It’s how Platforms and Applications are made in every tech wave.
And it is applicable in the AI landscape many times over.
Now Google has thrown in a new open source, competitive AI Agentic service dubbed ‘Google Gemini CLI’, (command line interface), that ups its game with developers worldwide,
Techcrunch lays it out well in “Google unveils Gemini CLI, an open-source AI tool for terminals”:
“Google is launching a new agentic AI tool that will put its Gemini AI models closer to where developers are already coding.”
“The company announced on Wednesday the launch of Gemini CLI, an agentic AI tool designed to run locally from your terminal. The new tool connects Google’s Gemini AI models to local codebases, and it allows developers to make natural language requests, such as asking Gemini CLI to explain confusing sections of code, write new features, debug code, or run commands.”
This is head-long into one of the biggest battles for Developer attention by the LLM AI comnpanies.
“Gemini CLI is part of Google’s efforts to get developers using its AI models in their coding workflows. Google now offers an array of AI coding tools, such as Gemini Code Assist and its asynchronous AI coding assistant, Jules. However, Gemini CLI competes directly with other command-line AI tools such as OpenAI’s Codex CLI and Anthropic’s Claude Code — tools that tend to be easier to integrate, faster, and more efficient than other AI coding tools.
“Since Google launched Gemini 2.5 Pro in April, the company’s AI models have become a favorite among developers. The popularity of Gemini 2.5 Pro has driven usage of third-party AI coding tools, such as Cursor and GitHub Copilot, which have become massive businesses. In response, Google has tried in recent months to build a direct relationship with these developers by offering in-house products.”
Remember, OpenAI just strategically bought AI coding company WIndsurf for $3 billion. I discussed it in a video podcast here, with some direct commentary by OpenAI founder/CEO Sam Altman on the core importance of AI coding for his company.
“While most people will use Gemini CLI for coding, the company says it designed the tool to handle other tasks as well. Developers can tap Gemini CLI to create videos with Google’s Veo 3 model, generate research reports with the company’s Deep Research agent, or access real-time information through Google Search. Google also says Gemini CLI can connect to MCP servers, allowing developers to connect to external databases.”
Gemini CLI is being offered open source and at competitive pricing terms at various tiers:
“To encourage adoption, Google is also open-sourcing Gemini CLI under the Apache 2.0 license, which is typically considered one of the most permissive. The company says it expects a network of developers to contribute to the project on GitHub.”
“Google is also offering generous usage limits to spur adoption of Gemini CLI. Free users can make 60 model requests per minute and 1,000 requests per day, which the company says is roughly double the average number of requests developers made when using the tool.”
“While AI coding tools are rising rapidly in popularity, using them comes with risks. According to a 2024 survey from Stack Overflow, just 43% of developers trust the accuracy of AI tools. Several studies have shown that code-generating AI models can occasionally introduce errors or fail to fix security vulnerabilities.”
Bloomberg also has a good writeup on Google Gemini CLI here.
Overall, this is a notable step up for Google in the AI coding offerings for developers, but it’s still early days in this AI Tech Wave.
And Google, as well as its peers, will need to execute and iterate hard to earn developer attention and support. And keep it. Stay tuned.
(NOTE: The discussions here are for information purposes only, and not meant as investment advice at any time. Thanks for joining us here)