Latest news with #coding
Geeky Gadgets
a day ago
- Business
- Geeky Gadgets
Why Gemini CLI is the Ultimate Tool for Developers in 2025
What if you could transform your coding workflow with a single tool—one that's not only free but also open source and powered by innovative AI? Enter Gemini CLI, Google's latest innovation that's already making waves in the developer community. Built on the advanced Gemini 2.5 Pro model, this command-line interface doesn't just assist with coding; it transforms how developers write, debug, and automate tasks. With its AI-powered code understanding and seamless natural language prompts, Gemini CLI is poised to outshine competitors like Claude Code, offering a level of accessibility and functionality that feels almost too good to be true. In this perspective, World of AI explore how Gemini CLI is reshaping the development landscape, from its real-time web context integration to its customizable workflows. Whether you're a seasoned coder or just starting out, this tool promises to simplify complex processes while enhancing productivity. But what makes it truly stand out? Is it the generous free usage limits, the intuitive natural language commands, or the seamless IDE integration? Let's unpack the features, benefits, and potential of Gemini CLI to see how it stacks up against its rivals—and why it might just become your go-to coding companion. Sometimes, innovation isn't just about solving problems; it's about redefining what's possible. Google Launches Gemini CLI Key Features of Gemini CLI Gemini CLI provides a comprehensive suite of features tailored to meet the demands of modern developers. Its standout capabilities include: AI-Powered Code Understanding: Enables precise assistance in writing, debugging, and automating tasks, reducing the time spent on repetitive processes. Enables precise assistance in writing, debugging, and automating tasks, reducing the time spent on repetitive processes. Natural Language Prompts: Execute commands effortlessly by using plain language, eliminating the need to memorize complex syntax. Execute commands effortlessly by using plain language, eliminating the need to memorize complex syntax. Real-Time Web Context Integration: Access relevant information directly from the CLI through Google search, making sure you have the data you need at your fingertips. Access relevant information directly from the CLI through Google search, making sure you have the data you need at your fingertips. Versatile Functionality: Perform a wide range of tasks, including file manipulation, command execution, and dynamic troubleshooting, all from a single interface. Perform a wide range of tasks, including file manipulation, command execution, and dynamic troubleshooting, all from a single interface. IDE Integration: Seamlessly integrates with the Code Assist extension, enhancing workflows and bridging the gap between the CLI and your development environment. These features make Gemini CLI a versatile and indispensable tool, whether you're managing small scripts or tackling complex, large-scale projects. Ease of Use and Accessibility Gemini CLI is designed to cater to developers of all experience levels, making sure accessibility and ease of use. Key aspects of its usability include: Free and Generous Usage Limits: Developers can make up to 1,000 requests per day and 60 requests per hour, providing ample room for experimentation and productivity. Developers can make up to 1,000 requests per day and 60 requests per hour, providing ample room for experimentation and productivity. Simple Installation Process: The tool requires version 18 or higher, making sure a straightforward setup that minimizes technical barriers. The tool requires version 18 or higher, making sure a straightforward setup that minimizes technical barriers. Flexible Authentication Options: Users can authenticate using either a Google account or a Gemini API key, allowing access to advanced features with minimal effort. This combination of accessibility and functionality ensures that Gemini CLI can be seamlessly integrated into your workflow, whether you're automating repetitive tasks or debugging intricate code. Gemini CLI Beats Claude Code! Watch this video on YouTube. Browse through more resources below from our in-depth content covering more areas on Google Gemini . Customization and Advanced Capabilities Gemini CLI stands out for its adaptability, offering a range of features that cater to diverse development needs. These advanced capabilities include: Customizable Prompts: Tailor the tool to align with your specific workflows, allowing maximum efficiency and personalized functionality. Tailor the tool to align with your specific workflows, allowing maximum efficiency and personalized functionality. Built-In Tools: Generate summaries, manage memory, and perform web searches directly from the CLI, reducing the need for external tools. Generate summaries, manage memory, and perform web searches directly from the CLI, reducing the need for external tools. Web Application Deployment: Create and deploy web applications directly from the command line, streamlining the development-to-deployment process. Create and deploy web applications directly from the command line, streamlining the development-to-deployment process. Personalization Options: Customize themes and monitor session memory statistics to optimize your experience and improve usability. These features make Gemini CLI a flexible and powerful addition to any developer's toolkit, capable of handling everything from routine tasks to complex project deployments with ease. How Gemini CLI Compares to Cloud Code While both Gemini CLI and Cloud Code are designed to support developers, they cater to different needs and priorities. Key distinctions include: Cost: Gemini CLI is entirely free and open source, making it an attractive option for budget-conscious developers, while Cloud Code may involve associated costs. Gemini CLI is entirely free and open source, making it an attractive option for budget-conscious developers, while Cloud Code may involve associated costs. Context Window: Gemini CLI offers a larger context window, allowing developers to work with more extensive datasets and handle complex tasks more effectively. Gemini CLI offers a larger context window, allowing developers to work with more extensive datasets and handle complex tasks more effectively. Code Structure: Cloud Code excels in providing superior code structure and organization but is limited by smaller context capabilities. These differences highlight Gemini CLI as a cost-effective and versatile solution for developers seeking flexibility, while Cloud Code may appeal to those prioritizing structured coding environments. Licensing and Future Development Gemini CLI is distributed under the Apache 2.0 license, granting developers the freedom to use it for both personal and commercial projects. As the tool is currently in preview, Google is actively working on updates to expand its functionality and refine its features. This commitment to continuous improvement ensures that Gemini CLI will evolve alongside the needs of the developer community, offering new capabilities and enhancements over time. Media Credit: WorldofAI Filed Under: AI, Guides Latest Geeky Gadgets Deals Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy.
Forbes
2 days ago
- Business
- Forbes
AI Can Write Code—But Can It Write Code That Scales?
Christopher Stauffer is CEO of STAUFFER, a digital agency that bridges strategy, engineering and design to solve complex business problems. It's never been easier to write code. Tools like ChatGPT and GitHub Copilot can generate boilerplate code, suggest test scaffolding and really help get your early-stage ideas going. These tools are fast, smart and constantly improving. But I keep coming back to something I've said often to clients and colleagues: Writing code isn't hard anymore. Writing code that scales? That's still the hard part. I don't say that as a warning. I say it as a reminder because we're entering a time when the differentiator in software isn't the one who can build something fast. It's who can build something that still works when your business grows, your customer behavior shifts or your platform expands. We've Solved For Speed—Now What? AI has dramatically reduced the time it takes to get from idea to prototype. That's a real gain. But with that gain comes a new risk: the illusion of completeness. Something that looks finished might just be the beginning. Something that functions in isolation might collapse the moment it's connected to real systems and real users. Speed is great—if you know where you're going. But if you don't, you just get lost faster. That's why I tell people to use AI the same way they use any other tool: to extend your reach, not to replace your judgment. Use it for things like boilerplate code, rapid iteration, documentation support and even experimentation. But always think about the next step: What happens when this scales? What assumptions are we baking in right now that we'll regret later? What Scaling Actually Means When we talk about scaling, people often imagine it's about handling more users or more data—and it is, partially. But scalability also means flexibility. It means being able to add new features without rewriting your foundation. It means avoiding the kind of brittle design that locks you into early decisions and makes future updates painful or expensive. AI doesn't think about that for you. It doesn't know your roadmap, budget, integration points or compliance requirements. That's still your job. And if you don't ask the right questions up front, no amount of AI speed will save you from backtracking later. The Leadership Blind Spot I think one of the biggest shifts AI brings is this: It makes it easier for anyone—at any skill level—to generate something that looks like a finished product. That's exciting. But it's also risky, especially for non-technical stakeholders. If you're a CMO or COO evaluating a new internal tool, it might look clean and responsive and 'done.' But how is it built? What happens if the user base triples? What breaks when you expand it to new markets or channels? You don't need to read code to ask those questions. You just need to know they're important. And you need a team that values long-term thinking as much as short-term wins. What Still Matters AI is powerful, but it doesn't have instincts. It doesn't know what tradeoffs are worth making. It can't anticipate every ramification of a quick fix or a clever workaround. That's where experienced engineers and thoughtful leaders come in. I've worked on projects where everything worked perfectly—until it didn't. Not because the code was bad, but because the system wasn't built to adapt. And I've seen the opposite: teams that slowed down to think ahead, make smart architectural choices and build something that could grow without constant rework. Those are the teams that win. Not because they used AI or didn't, but because they knew what they were building toward. The role of a good technologist is changing. It's not about memorizing syntax or writing thousands of lines of code by hand. AI can help with that. The real role—the one that can't be automated—is knowing what to build, why and how it needs to evolve over time. So, yes, AI can write code. And that's a good thing. But if you're thinking about the future of your business, platform or product—don't just ask if it works. Ask if it lasts. That's where the real value still lives. Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?
Yahoo
2 days ago
- Business
- Yahoo
Anysphere
Anysphere CEO Michael Truell Credit - Courtesy Cursor Even among AI startup unicorns, Anysphere stands out for its rocket-like ascent. Coding might be the first industry already being widely outsourced to AI, and Anysphere's popular AI-powered coding assistance software, Cursor, is redefining how many developers do their jobs. Able to generate code in any programming language, Cursor creates new functions, and offers suggestions and edits, based on software engineers' prompts. In June, the three-year-old company hit a valuation of $9.9 billion, and this year, it became one of the fastest companies to achieve $100 million in annual recurring revenue. 'It is clear to us that software engineering will change,' says Anysphere President Oskar Schulz. 'Anysphere's mission is to accelerate this evolution and reimagine what coding will look like in the future.' With developers at OpenAI, Midjourney, Shopify, Instacart and other businesses now using Cursor, that future is already arriving. Contact us at letters@ Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Geek Wire
3 days ago
- Business
- Geek Wire
‘Massive productivity booster': Seattle developers on how Cursor is changing the way they code
GeekWire's startup coverage documents the Pacific Northwest entrepreneurial scene. Sign up for our weekly startup newsletter , and check out the GeekWire funding tracker and venture capital directory . Kevin Leneway, principal AI software engineer at Pioneer Square Labs, writes code with Cursor during a meetup in Seattle on Tuesday. (GeekWire Photo / Taylor Soper) Seattle software engineers say Cursor, an AI-powered code editor, is revolutionizing how they work — boosting productivity, enabling faster prototyping, and opening the door to more ambitious projects. Pioneer Square Labs hosted the first-ever Cursor Seattle meetup on Tuesday, reflecting the rising popularity of fast-growing AI coding tools being adopted by programmers. Cursor integrates large language models from OpenAI, Anthropic, and others to suggest, write, and refactor code, aiming to make development faster and smarter. 'It's a massive productivity boost,' said Gabe Brown, co-founder of Big Box, a Seattle video game startup acquired by Meta in 2021. Brown recently 'vibe-coded' an app in 90 minutes — something he said would have taken four weeks without the help of Cursor. Matt Deitke, co-founder of Seattle startup Vercept, told GeekWire it's 'fundamentally changing how much code you can write.' The buzz isn't limited to startups. Amazon is reportedly in talks to deploy Cursor internally — even as it builds its own AI coding assistant — in a sign of growing interest from tech giants. Investors are also taking notice. Anysphere, the small San Francisco startup behind Cursor, recently hit a $9.9 billion valuation after raising $900 million — its third fundraise in less than a year. The startup was founded in 2022. Windsurf, a rival to Cursor, agreed last month to be acquired by OpenAI for about $3 billion. Cursor also competes with GitHub Copilot, Replit, and others. Kevin Leneway and Jared Kofron, engineers at Seattle startup studio Pioneer Square Labs, kicked off the event on Tuesday by using Cursor to build an icebreaker game in under 30 minutes. The end result wasn't quite perfect but did generate a working demo. Nick Miller, an engineer with Cursor, later joined via video to share insights and tips. Miller said 95% of his code is now written by a machine. The software engineer's job description is starting to change, Miller said. 'I'm really more supervising and orchestrating, as opposed to writing code by hand,' he said. 'I think we're going in that direction.' Leneway, who posts Cursor tutorial videos on YouTube, echoed that sentiment. 'My daily job has changed from writing code to acting more as a project manager to define what I want built, then reviewing code the Cursor agent wrote,' he told GeekWire. 'I personally have a lot more job satisfaction now since I can work at a bit of a more strategic level focused on architecture and product rather than typing out code and manually tracking down bugs.' Like many nascent AI tools, Cursor offers powerful advantages but also has limitations. Some users complain that Cursor adds bugs or makes their code worse. And hallucination is still a concern. Cursor itself inadvertently made headlines last month after its AI support bot generated a company policy that didn't actually exist. Miller advised engineers to focus on using Cursor's 'Rules' feature and attaching documentation to help guide the coding agents. He also stressed creating new 'context windows' for individual projects or tasks. 'The key is sort of 'context window engineering' — thinking about when to start new session, thinking about how to start those sessions, and really being aware of what is in that context window,' Miller said. AI coding tools are also sparking questions about whether AI will replace software engineering jobs. But inside the meetup on Tuesday in Seattle, the feeling was more of excitement than fear. Harshitha Rebala, who recently graduated from the University of Washington and just joined Vercept, said she's using Cursor to get questions answered. 'It's really helpful to get ramped up on the codebase,' she said. Ron Theis, a longtime software engineer in Seattle, said he's now doing much more code review and a 'higher level of problem solving.' 'The number of curly braces I've typed since I started using Cursor has gone way down,' Theis said, alluding to the common punctuation used in programming.
The Verge
3 days ago
- The Verge
Google is bringing Gemini CLI to developers' terminals
Google has launched a new open-source AI agent that brings Gemini's coding, content generation, and research capabilities directly into developers' terminals. Gemini CLI provides a 'fundamental upgrade to your command line experience,' according to Google, making it easier for developers to write and debug code using natural language prompts. 'It provides lightweight access to Gemini, giving you the most direct path from your prompt to our model,' Google said in its announcement. 'While it excels at coding, we built Gemini CLI to do so much more. It's a versatile, local utility you can use for a wide range of tasks, from content generation and problem solving to deep research and task management.' Gemini CLI utilizes Google's Gemini 2.5 Pro reasoning model, which currently supports a 1 million token context window (the amount of information that an AI model can understand). Google says the Gemini CLI agent is integrated with Gemini Code Assist, includes built-in Model Context Protocol (MCP) and Google Search support, and allows developers to generate images and video using its Veo and Imagen AI tools. Gemini CLI is available for developers to preview starting today, and it's currently free to use through a free Gemini Code Assist license that can be obtained via a personal Google account. That provides Gemini CLI users with a usage limit of 60 model requests per minute and 1,000 requests per day, which Google says is the 'largest allowance' offered across the industry. Google hasn't mentioned if anything is available for users who exceed those usage limits, or if the AI agent will remain free-to-use when it becomes fully available. That generous allowance could give it an edge over other AI coding options like Anthropic's Claude Code and the GitHub Copilot Coding Agent, or even Microsoft's similar AI chatbot inside Windows Terminal.
