AI News
Google launches Gemini CLI, an open source AI agent
In 2025 we have seen plenty of AI Tools in different categories. Joining the race, the big tech giant like Google is also rapidly bringing new AI tools to enhance productivity. Now, the mountain view tech giant has introduced a new agentic AI tool that will put its Gemini AI models closer to where developers are already coding.
The company announced the launch of Gemini CLI on June 25, 2024, 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.
“With Gemini CLI, you can have a natural language conversation with your computer to solve problems and weave complex workflows together, to do far more than was previously possible,” said Taylor Mullen, Senior Staff Software Engineer at Google, during a press briefing.
Google’s Gemini CLI Tool: Your New AI Coding Companion in 2025
Understanding Google’s Gemini CLI
Google’s Gemini CLI represents a fresh approach to AI-powered development tools. This command-line interface puts Google’s artificial intelligence directly into developers’ hands, streamlining the coding process through terminal-based interactions.
The Strategy Behind Gemini CLI’s Launch
Google’s motivation centers on capturing developer mindshare in the competitive AI coding space. The tech giant already maintains several AI development solutions, including Gemini Code Assist and their asynchronous helper called Jules. However, this new CLI tool positions Google to directly challenge established players in the market.
The timing connects to Gemini 2.5 Pro’s success since its April debut. This model gained significant traction among programming professionals, many of whom accessed it via external platforms like Cursor and GitHub Copilot. Rather than watch these intermediaries profit from their technology, Google chose to offer direct developer engagement.
Gemini CLI’s Feature Set
Though coding remains the primary use case, Google engineered this tool for broader applications:
Programming Capabilities
- Code generation and optimization
- Debugging assistance
- Error resolution
- Performance improvements
Google CLI
Extended Functionality
- Video production through Veo 3 integration
- Research compilation via Deep Research capabilities
- Live data access from Google Search
- Database connectivity using MCP server protocols
Market Position Analysis
Gemini CLI enters a crowded field with distinct advantages and challenges:
Strengths:
- No-cost access with open-source licensing
- Substantial usage allowances
- Multi-functional design beyond pure coding
- Native Google service integration
Market Reality:
- Established competitors often deliver superior speed
- Integration complexity varies across platforms
- Specialized tools may excel in focused areas
Cost Structure and Access Limits
Google adopts an aggressive freemium strategy:
No-charge tier includes:
- 60 requests per minute
- 1,000 daily interactions
- Usage capacity exceeding typical developer needs
Open Development Philosophy
The Apache 2.0 licensing choice signals Google’s commitment to community involvement. This permissive framework encourages collaborative improvement while maintaining broad compatibility across development environments. GitHub-hosted development invites community contributions.
Risk Assessment for Users
AI coding assistance brings inherent limitations worth considering. Industry research reveals developer skepticism, with less than half expressing confidence in AI tool accuracy according to recent Stack Overflow findings. Common concerns include:
- Bug introduction through generated code
- Security gap oversight
- Functionality mismatches with requirements
Implementation Guidance
For developers considering adoption:
- Zero financial barrier with generous operational limits
- Transparent codebase enabling customization and review
- Versatile applications spanning development and content creation
- Ecosystem synergy with existing Google services
Final Assessment
Google’s Gemini CLI emerges as a comprehensive alternative to existing AI development tools. Its multi-purpose design extends beyond traditional coding assistance, incorporating content creation and research capabilities. The combination of free access, open-source transparency, and substantial usage allowances creates compelling value.
Success depends on balancing AI assistance with human oversight. While these tools accelerate development workflows, maintaining code quality requires careful review and testing practices.
YouTube has officially announced the new AI-driven creation tools for generating the unique and best Shorts, according to a recent blog post by the platform.
The new features include a Photo to video converter, generative effects, and access to an AI playground for experimenting with creative outputs.
Photo to video tool
The Photo to video tool allows users to transform still images from their camera roll into animated Shorts. Users can select a photo and apply creative suggestions that add motion, such as animating landscapes, objects or group pictures.
This feature is being rolled out across the United States, Canada, Australia and New Zealand, with more regions expected to follow later in the year. For your information, it is available for free.
Both the Photo to video and generative effects are powered by Google’s Veo 2 technology. YouTube said Veo 3 would be integrated into Shorts later this summer.
The feature is currently available in the US, Canada, Australia and New Zealand and can be accessed by tapping the create button, followed by the sparkle icon.
YouTube noted that AI-generated content will include SynthID watermarks and clear labels to indicate that it was created using artificial intelligence.
According to the blog post, the new tools are designed to make the creative process more accessible, while preserving transparency about AI use in content creation.
Google has officially released a series of updates to Firebase Studio aimed at expanding its AI development capabilities and deepening integration with popular frameworks and Firebase services.
For your information, the released features were unveiled at I/O Connect India.
At the core of the update are AI-optimised templates for Flutter, Angular, React, Next.js, and general Web projects. These templates enable developers to build applications in Firebase Studio using Gemini, Google’s AI assistant, with the workspace defaulting to an autonomous Agent mode.
“We’re unveiling new updates that help you combine the power of Gemini with these new features to go from idea to app using some of your favourite frameworks and languages,” said Vikas Anand, director of product management at Google.
Firebase Studio now supports direct prompting of Gemini to integrate backend services. Developers using App Prototyping Agent or an AI-optimised template can simply describe the desired functionality, and Gemini will recommend and incorporate relevant Firebase services, including adding libraries, modifying code, and assisting with configuration.
“You can get assistance from Gemini to help you plan and execute tasks independently without waiting for step-by-step approval,” said Jeanine Banks, vice president and general manager, Developer X at Google.
Nvidia reportedly plans to resume sales to China that’s become part of a global race pitting the world’s biggest economies against each other. The company’s announcement on Monday comes after Nvidia CEO Jensen Huang met with President Donald Trump at the White House last week.
AMD AI Chip Plan For China
AMD also planning to restart sales of its AI chips to China. “We were recently informed by the Department of Commerce that license applications to export MI308 products to China will be moving forward for review,” the company said in a statement to CNN. “We plan to resume shipments as licenses are approved. We applaud the progress made by the Trump Administration in advancing trade negotiations and its commitment to US AI leadership.”
Treasury Secretary Scott Bessent told Bloomberg in an interview Tuesday that the Nvidia export controls have been a “negotiating chip” in the larger US-China trade talks, in which the two countries have made a deal to lower tariffs charged on one another.
The same day Commerce Secretary Howard Lutnick said that the resumption of Nvidia’s AI chip sales to China was part of the trade agreement with Beijing on rare earths. “We put that in the trade deal with the magnets,” he told Reuters, referring to rare earth magnets.
“In order for America to be the world leader, just like we want the world to be built on the American dollar, using the American dollar as a global standard, we want the American tech stack to be the global standard,” Huang told CNN’s Fareed Zakaria in an interview that aired Sunday. “We love that the internet is created by American technology and is built on American technology, and so we should continue to aspire to that.”
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