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Introducing Gemini CLI: Google’s Open Source AI Agent for Terminal Users

For developers, the terminal is home—a place where efficiency and flexibility matter most. Google’s latest release, Gemini CLI, is set to transform how you work in the command line by bringing advanced AI capabilities directly into your workflow. Whether you’re a hobbyist or a seasoned professional, Gemini CLI offers a lightweight, powerful, and open-source solution for coding, automation, and so much more. 🎥 See Gemini CLI in Action Want to watch a hands-on demo and real-world use cases? Check out this in-depth video walkthrough: ▶️ Watch on YouTube: https://youtu.be/cxnNuVbDZUc What is Gemini CLI? Gemini CLI is Google’s open-source AI agent designed to run directly in your terminal. Powered by Gemini 2.5 Pro, it gives you natural language access to a wide range of AI features—editing files, writing code, automating tasks, generating content, and even performing deep research—all without leaving your shell12. Unlike traditional CLI tools that require precise syntax, Gemini CLI lets you interact using plain English (or any supported language). You can ask it to analyze code, clone repositories, deploy apps, summarize content, or even manage complex workflows conversationally23. Why Gemini CLI Stands Out Completely Free for Individuals: Just log in with your personal Google account for a free Gemini Code Assist license. No credit card required, and you get up to 1,000 requests per day and 60 requests per minute—the industry’s largest free allowance21. Open Source and Transparent: Licensed under Apache 2.0, Gemini CLI is fully open source. Developers are encouraged to inspect, contribute, or adapt the code for their own needs13. Powerful Model Access: You get Gemini 2.5 Pro, with a massive 1 million token context window—enough to understand and edit entire codebases at once21. Multimodal and Extensible: Supports Model Context Protocol (MCP) for extensions, media generation (with Imagen, Veo, Lyria), and built-in Google Search grounding for real-time information213. Cross-Platform: Works on Mac, Windows, and Linux. Key Features Conversational Coding: Write, edit, and debug code using natural language. Content Generation: Summarize documents, generate reports, or create new content from PDFs or sketches. Automation: Automate DevOps tasks, manage pull requests, and handle complex Git workflows. Web Search Integration: Ground your prompts with real-time web data for research and fact-checking. Customizable and Scriptable: Tailor prompts, automate repetitive tasks, and integrate Gemini CLI into your scripts or toolchain3. Real-World Examples Here’s what you can do with Gemini CLI: Clone and Analyze Repos: “Clone this GitHub repo and list its main components.” Build and Deploy Apps: “Generate a Node.js site from this PDF and deploy it on Cloud Run.” Automate Media Tasks: “Convert all images in this directory to PNG and rename them by date.” Summarize Code Changes: “Give me a summary of all changes in the repo from the last 7 days.” Create Content: “Draft a blog post about AI in developer tools.” In Google’s own demo, Gemini CLI cloned its own repository, generated a Node.js site, and deployed it to Cloud Run—all while pausing for human approval when needed2. How to Get Started Install Node.js (version 18 or higher). Install Gemini CLI globally: text npm install -g @google/gemini-cli Or run directly with npx: text npx @google/gemini-cli Start Gemini CLI: text gemini Authenticate with your Google account to unlock the free tier. Pick your color theme and start prompting! For advanced usage or higher limits, you can use an API key from Google AI Studio or Vertex AI123. Pro Tips Use the 1M Token Context: Feed large files or entire repos for deep analysis and suggestions. Combine with Other CLI Tools: Pipe Gemini CLI’s output into your favorite utilities for even more power. Customize Prompts: Adjust system prompts and instructions to match your workflow or project needs. Automate Repetitive Tasks: Script Gemini CLI for batch operations or routine DevOps chores. Community and Contribution Gemini CLI is hosted on GitHub, where you’ll find documentation, issue tracking, and a growing community. Google encourages developers to contribute, suggest features, and help shape the tool’s future13. Final Thoughts Gemini CLI is more than just a coding assistant—it’s a versatile, open, and powerful AI agent built for the terminal. With unmatched free access, rich extensibility, and the backing of Google’s latest AI models, it’s poised to become an essential tool for developers everywhere. Ready to try it? Official Google Blog Announcement Gemini CLI on GitHub Watch the full video demo Streamline your workflow, automate tasks, and unlock new productivity with Gemini CLI—right from your terminal.

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Mr_Viind Youtube Channel Esp32 pinouts

ESP32 DevKit Pinout & GPIO Guide: Everything You Need to Know

The ESP32 DevKit is one of the most popular microcontroller boards for DIY electronics, IoT, and embedded projects. If you’re starting out with the ESP32 or want a detailed reference for its pins and features, this guide is for you! Here, we’ll break down the ESP32 DevKit pinout, technical specs, and practical tips so you can make the most of your board. What is the ESP32 DevKit? The ESP32 DevKit is built around the ESP32-WROOM-32 microcontroller—a powerful 32-bit dual-core chip with integrated Wi-Fi and Bluetooth 4.2. It’s designed for flexibility, featuring a wide range of GPIOs, analog and digital interfaces, and support for various communication protocols. Key Specs CPU: Dual-core Xtensa LX6, 160–240 MHz RAM: 520 KB SRAM Flash: 4–16 MB external (QSPI) Wi-Fi: 2.4 GHz, 802.11 b/g/n Bluetooth: v4.2 (Classic + BLE) Operating Voltage: 3.3V (regulated from USB or VIN) ESP32 DevKit Board Layout Power & Basic Components Micro USB Connector: Main power and programming interface. LDO Voltage Regulator: Converts 5V USB/VIN to 3.3V for the ESP32. Power LED (Red): Indicates board is powered. User LED (Blue, GPIO2): Handy for testing and beginner projects. EN (Enable) Button: Resets the board. BOOT Button: Used for programming/flashing modes. ESP32 DevKit Pinout Overview Power Pins VIN: 5V input (if not using USB) 3.3V: Regulated output for sensors/modules GND: Ground GPIO Pins Total GPIOs: Up to 30 available (not all are equal!) General Use: GPIO1, 3, 4, 12–19, 21–23, 25–27, 32, 33 are safe for digital I/O Input-Only Pins GPIO34, GPIO35, GPIO36, GPIO39: Input-only, no output or internal pull-up/pull-down. Use for sensors, not for driving LEDs or relays. Pins to Avoid GPIO6–11: Used for onboard SPI flash. Do not use for your projects. Strapping Pins (Special Boot Functions) GPIO0, GPIO2, GPIO4, GPIO5, GPIO12, GPIO15: These affect boot mode. Don’t connect devices that change their state at boot, or you may have trouble uploading code. Analog & Special Function Pins ADC (Analog to Digital Converter) 18 channels (12-bit): ADC1: GPIO32–39 (use these for analogRead with Wi-Fi) ADC2: GPIO0, 2, 4, 12–15, 25–27 (not available for analogRead when Wi-Fi is active) DAC (Digital to Analog Converter) GPIO25 (DAC1), GPIO26 (DAC2): 8-bit analog output. PWM (Pulse Width Modulation) 16 channels: Any output-capable GPIO (except 34–39) can be used for PWM—great for LEDs and motors. Touch Sensors 10 capacitive touch pins: T0 (GPIO4), T1 (GPIO0), T2 (GPIO2), T3 (GPIO15), T4 (GPIO13), T5 (GPIO12), T6 (GPIO14), T7 (GPIO27), T8 (GPIO33), T9 (GPIO32) RTC GPIOs Some GPIOs are routed to the RTC subsystem for ultra-low-power wake-up (deep sleep). Communication Interfaces UART (Serial) Up to 3 UARTs: UART0: GPIO1 (TX), GPIO3 (RX) [default for programming] UART2: GPIO17 (TX), GPIO16 (RX) UART1: GPIO9, GPIO10 (avoid—used by SPI flash) I2C Default: GPIO21 (SDA), GPIO22 (SCL) Can be reassigned to other output-capable GPIOs. SPI VSPI: MOSI (GPIO23), MISO (GPIO19), SCK (GPIO18), CS (GPIO5) HSPI: MOSI (GPIO13), MISO (GPIO12), SCK (GPIO14), CS (GPIO15) Note: GPIO6–11 are reserved for flash and should not be used. Practical Tips & Warnings Maximum current per GPIO: 40mA (absolute max; keep below 20mA for safety) All GPIOs can be used for interrupts Input-only pins: GPIO34–39 (no output, no pull-up/pull-down) ADC2 pins: Not available for analogRead() when Wi-Fi is active—use ADC1 pins for analog sensors if Wi-Fi is needed. Strapping pins: Avoid connecting devices that may interfere with boot mode. Powering: Use VIN (5V) or 3.3V pin (with regulated supply). If using a battery, ensure enough current and stable voltage. ESP32 DevKit Pinout Cheat Sheet GPIO Safe to Use? Notes 0 With caution Strapping pin, must be LOW for flashing 1 TX0 Serial output at boot 2 Yes Onboard LED, strapping pin 3 RX0 Serial input at boot 4 Yes ADC2, touch, strapping pin 5 Yes SPI CS, strapping pin 6–11 NO Used by SPI flash, don’t use 12 With caution Strapping pin, must be LOW at boot 13–19 Yes General use, some are SPI/HSPI 21–23 Yes I2C default (21=SDA, 22=SCL), SPI MOSI 25–27 Yes ADC2, DAC, touch 32–33 Yes ADC1, touch 34–39 Input only No output, no pull-up/pull-down Conclusion The ESP32 DevKit is a versatile, feature-packed board suitable for everything from simple sensor projects to advanced IoT applications. Understanding the pinout is key to unlocking its full potential and avoiding common pitfalls. Bookmark this guide and refer back whenever you’re wiring up a new project!

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16 Must-Have AI Tools for Every Professional in 2025

AI is no longer just a buzzword — it’s becoming an everyday tool for working professionals. Whether you’re a student, freelancer, content creator, teacher, developer, or small business owner, the right AI tools can save you time, help you work smarter, and unlock creative ideas. Recently, I found a great video that shows 16 powerful AI tools you should know about in 2025. The video is short and practical, and I’ve also listed all the tools below with direct links so you can explore them easily. Watch the full video here:https://www.youtube.com/watch/356Zl12rgeU 16 Useful AI Tools for Professionals in 2025 Google AI StudioWebsite: https://aistudio.google.com/A real-time learning assistant that helps you with on-screen tutoring while you work or study. Google Gemini Deep ResearchWebsite: https://gemini.google/overview/deep-research/Helps you research smarter by summarising insights from over 100 sources. Notebook LMWebsite: https://notebooklm.google/Reads your documents and creates learning materials, summaries, or notes from them. Napkin AIWebsite: https://www.napkin.ai/Instantly converts your thoughts into diagrams, infographics, and simple animations. Photo AI (Fotor)Website: https://www.fotor.com/A beginner-friendly photo and video editing tool with features like background removal and enhancement. Replicate AIWebsite: https://replicate.com/Run AI models like image or video generators in the cloud without needing a powerful computer. Pinokio AIWebsite: https://pinokio.computer/Lets you install AI tools with one click — no technical skills required. TubeMagicWebsite: https://tubemagic.com/Predicts what kind of YouTube video might go viral based on your past content and trends. Guide AIWebsite: https://guide-ai.com/Automatically creates step-by-step tutorials from your content or processes. Sono AI (Suno)Website: https://suno.com/Generates original songs using AI. Just give it your lyrics or vibe, and it creates the music. Temper AIWebsite: https://www.tempor.ai/Make royalty-free music for your videos, presentations, or content — powered by AI. Gamma AIWebsite: https://gamma.app/Create modern and clean presentations in seconds using just your ideas or a topic. Cursor AIWebsite: https://www.cursor.com/A no-code tool to build apps using plain English descriptions. Wizard AI (Uizard)Website: https://uizard.io/Quickly create UI/UX design mockups from simple text input. Perplexity AIWebsite: https://www.perplexity.ai/A research assistant that gives fact-based, cited answers with a clean and structured format. Otter AIWebsite: https://otter.ai/Transcribes meetings and gives summaries, making remote work and teamwork easier. Why You Should Explore These Tools Save hours of work by automating tasks Improve quality of writing, design, and content Create professional output even without deep technical skills Most of these tools offer free plans to get started Whether you’re building a personal brand, running a business, or just looking to stay ahead in your field, these tools are worth checking out.

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Building a Docker container for my react.js app

To build a Docker container for React.js app, you can follow these steps: Create a Dockerfile. The Dockerfile is a text file that contains instructions for building a Docker image. Create a new file called Dockerfile in the root directory of your project. Add the following instructions to the Dockerfile: FROM node:16 WORKDIR /app COPY package.json . RUN npm install COPY . . EXPOSE 3000 CMD [“npm”, “start”] The FROM instruction specifies the base image that will be used to build the new image. In this case, we are using the node:16 image, which contains the Node.js 16 runtime environment. The WORKDIR instruction sets the working directory for the container. The COPY instruction copies the package.json file and the entire contents of the current directory into the container. The EXPOSE instruction exposes the specified ports on the container. In this case, we are exposing ports 3000. The CMD instruction specifies the command that will be run when the container is started. In this case, we are running the npm command with the start script. Build the Docker image. Once you have created the Dockerfile, you can build the Docker image using the following command: docker build -t my-app . The docker build command builds a Docker image from a Dockerfile. The -t flag specifies the name of the image. In this case, we are naming the image my-app. Run the Docker container. Once you have built the Docker image, you can run it using the following command: docker run -p 3000:3000 my-app The docker run command runs a Docker image. The -p flag maps the specified ports on the host machine to the exposed ports on the container. In this case, we are mapping port 3000 on the host machine to the corresponding ports on the container. Once the Docker container is running, you can access the React.js UI app at http://localhost:3000. To share the Docker container image with others, you can push it to a Docker registry, such as Docker Hub. Once the image is pushed to the registry, others can pull it down and run it.

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