#awschallenge

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3 months ago

Kiro: My Experience Building a Serverless App with AWS’s New Agentic IDE Recently, I decided to put Kiro to the test. I didn’t want to just build a "Hello World" app; I...

✍️ New blog post by amalkabraham001

Kiro: My Experience Building a Serverless App with AWS’s New Agentic IDE

#kiro #aws #awschallenge #awscommunity

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4 months ago

Amazon Q Custom Agents: Redefining the Future of Cloud Architecture 👋 Hey there, tech enthusiasts! I'm Sarvar, a Cloud Architect with a passion for transforming...

✍️ New blog post by Sarvar Nadaf

Amazon Q Custom Agents: Redefining the Future of Cloud Architecture

#aws #ai #aiops #awschallenge

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Ubuntu

@ubuntu.activitypub.awakari.com.ap.brid.gy

8 months ago

🛠️ Deploying an Apache Web Server on AWS EC2: A Step-by-Step Guide INTRODUCTION This guide outlines the process of provisioning an EC2 instance and configuring it to...

🛠️ Deploying an Apache Web Server on AWS EC2: A Step-by-Step Guide INTRODUCTION This guide outlines the process of provisioning an EC2 instance and configuring it to host a basic Apache web se...

#aws #linux #awschallenge #webdev

Origin | Interest | Match

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8 months ago

Amazon Q in Action ! Pacman Inspired game deployed Building a Pac-Man Inspired Game with Amazon Q CLI By Yashvi Kothari Published: June 27,...

✍️ New blog post by Yashvi Kothari

Amazon Q in Action ! Pacman Inspired game deployed

#amazonqcli #gamechallenge #awschallenge #q

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8 months ago

Khi AI trở thành 'cộng sự' trong terminal: Hành trình build game Snake với Amazon Q CLI 🤔 Anh em có bao giờ ước mình có một "cộng sự" AI ngay trong terminal không? Thử tưởng...

✍️ New blog post by Định Trương Quang

Khi AI trở thành 'cộng sự' trong terminal: Hành trình build game Snake với Amazon Q CLI

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8 months ago

Building A Plasma Sword Fighter Game with Amazon Q CLI As a DevSecOps engineer, my daily grind usually involves CI/CD pipelines, security audits, and...

✍️ New blog post by Gabriel Koo

Building A Plasma Sword Fighter Game with Amazon Q CLI

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9 months ago

How I Create a Hanged Man Python game with AWS Q CLI : for AWS Services as a guide for certification exam in minutes This blog entry will demonstrate on how to build a command line game with Python programming...

✍️ New blog post by V-ris Jaijongrak

How I Create a Hanged Man Python game with AWS Q CLI : for AWS Services as a guide for certification exam in minutes

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9 months ago

🎮 From Prompt to Playable: Building Synaptic Weave with Amazon Q CLI Can you build an innovative game with no manual coding, no images, and only prompts? I...

✍️ New blog post by Ajaykumar k v

🎮 From Prompt to Playable: Building Synaptic Weave with Amazon Q CLI

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Forem

@forem.com.web.brid.gy

9 months ago

Rock Paper Scissor with PyGame And Amazon Q CLI In this blog post, I'll walk you through my journey of creating a fun Rock Paper Scissors game using Python and Pygame, with the assistance of Amazon Q CLI. I'll cover everything from setting up the development environment to implementing game mechanics and generating custom assets. 🔧 Installing Amazon Q CLI on macOS Amazon Q CLI is a powerful tool that helped me throughout the development process. Here's how I installed it on my macOS: First install the AWS CLI using Homebrew: brew install awscli Then I configured my AWS credentials: aws configure Next, I installed the Amazon Q CLI: pip install amazon-q-cli After installation, I verified it was working: q --version I started using Amazon Q by running: q chat In the chat, I asked: Can you help me structure a Rock Paper Scissors game using Pygame? Amazon Q CLI became my coding companion, helping me generate code snippets, debug issues, and even create project documentation. 🎮 Designing the Game Structure Based on Amazon Q's suggestions, I designed the game with three main states: Menu State: The main menu where players can start the game. Playing State: Where players select their move (Rock, Paper, or Scissors). Result State: Displaying the outcome and allowing players to play again. I created the main game file structure with Amazon Q's help: q chat I asked: Can you help me create a main.py file for my Rock Paper Scissors game with state management? 🎯 Implementing Game Mechanics For the core game mechanics, I needed to implement: Player choice selection Computer random choice generation Winner determination logic 🎁 Final Thoughts Building this Rock Paper Scissors game was a fun and educational experience. Amazon Q CLI significantly accelerated my development process by: Providing code snippets and structure Helping debug issues quickly Generating documentation Offering best practices and optimization tips The final game includes: An intuitive user interface Smooth animations and transitions Visual feedback with particle effects Custom-generated game assets Multiple game states for a complete experience If you're developing games or any software project, I highly recommend giving Amazon Q CLI a try. It's like having an expert developer by your side, ready to help whenever you need it. 🕹️ To run the game yourself: git clone https://https://github.com/heighterses/rock-paper-scissor-Q-CLI cd rock-paper-scissor-Q-CLI pip install pygame python main.py Enjoy playing Rock Paper Scissors! 🎮

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DEV Community

@dev.to.web.brid.gy

9 months ago

License to Build: Crafting Games with Amazon Q CLI It’s hard to find someone who hasn’t seen—or played—the iconic Chrome Dino game. You know the one: that pixelated little T. rex that appears when your internet vanishes, sprinting endlessly across a desert landscape, dodging cacti and flying pterodactyls. Simple, nostalgic, and strangely addictive. So when the AWS Community Builders were invited to join a hands-on learning experience—“Build Games with Amazon Q CLI”—I knew exactly what I wanted to do. Among classics like Snakes and Ladders and Tic-Tac-Toe, I set out to recreate the beloved Chrome Dino. What amazed me most wasn’t just that I could recreate these games—it was how I could do it. Amazon Q CLI took in straightforward prompts and returned fully functional games, complete with visuals, special effects, animations, sound—the works. And the best part? I didn’t have to write a single line of code. Much like a seasoned developer, Amazon Q builds in phases—laying the groundwork first, then layering enhancements one step at a time. Watching it evolve a simple prompt into an interactive game felt a little like magic. ## **Setting Amazon Q CLI:** This document provides the necessary steps to install Amazon Q CLI on the system. https://docs.aws.amazon.com/amazonq/latest/qdeveloper-ug/command-line-installing.html Once the CLI is installed, verify the setup using the following command. _**Time to get working**_ Just like 007 counts on Q—his brilliant tech whiz—to gear him up for each mission, I had my own digital sidekick: Amazon Q CLI. The moment I gave the word, Q jumped into action, smoothly installing the Pygame library. Q create a dinosaur game similar to the Chrome Dino game. As with any good mission, Q started with the basics—a foundational version of the game. It was simple, functional, and just enough to get things rolling. Like handing over a standard-issue gadget before revealing its hidden features. _Initial game snapshot:_ ## **Enhancements:** Q upgrade the plain dino into a proper pixelated T. rex—true to the original classic. As always, Q responded with precision, swapping out the basic form for a retro-styled reptile that looked ready to take on any mission the game could throw at it. While testing the game, I noticed a curious glitch—each time my Dino successfully dodged an obstacle, everything would suddenly reset, almost like the game forgot it had just happened. It broke the flow of the run and felt a little jarring. So, I shared this experience with Q, hoping it could help smooth things out. It analyzed the problem, adjusted the logic, and patched things up. Mission back on track. **Sound effects:** Q add some sound effects And when I requested a space-themed twist on the classic desert run, Q didn’t just follow instructions—it improvised. The background transformed into a galactic expanse, the cacti morphed into sleek spaceships, and the birds into drifting asteroids. It was like asking for a pen and getting a laser-equipped grappling hook instead. Q explain me the features of the game: Q increase the difficulty over time by introducing multiple obstacles as the game progresses and increase the speed of the obstacles. Q understood the assignment—escalating the challenge with precision. **Final Game Video** Amazon Q didn’t just help me build a game—it equipped me for it. Every prompt I gave felt like issuing an order , and every response was packed with precision, creativity, and flair. No code. No delays. Just results. In this mission, I wasn’t the agent in distress—I was the one in command. And Amazon Q? It was my very own Quartermaster.

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Forem

@forem.com.web.brid.gy

9 months ago

License to Build: Crafting Games with Amazon Q CLI It’s hard to find someone who hasn’t seen—or played—the iconic Chrome Dino game. You know the one: that pixelated little T. rex that appears when your internet vanishes, sprinting endlessly across a desert landscape, dodging cacti and flying pterodactyls. Simple, nostalgic, and strangely addictive. So when the AWS Community Builders were invited to join a hands-on learning experience—“Build Games with Amazon Q CLI”—I knew exactly what I wanted to do. Among classics like Snakes and Ladders and Tic-Tac-Toe, I set out to recreate the beloved Chrome Dino. What amazed me most wasn’t just that I could recreate these games—it was how I could do it. Amazon Q CLI took in straightforward prompts and returned fully functional games, complete with visuals, special effects, animations, sound—the works. And the best part? I didn’t have to write a single line of code. Much like a seasoned developer, Amazon Q builds in phases—laying the groundwork first, then layering enhancements one step at a time. Watching it evolve a simple prompt into an interactive game felt a little like magic. ## **Setting Amazon Q CLI:** This document provides the necessary steps to install Amazon Q CLI on the system. https://docs.aws.amazon.com/amazonq/latest/qdeveloper-ug/command-line-installing.html Once the CLI is installed, verify the setup using the following command. _**Time to get working**_ Just like 007 counts on Q—his brilliant tech whiz—to gear him up for each mission, I had my own digital sidekick: Amazon Q CLI. The moment I gave the word, Q jumped into action, smoothly installing the Pygame library. Q create a dinosaur game similar to the Chrome Dino game. As with any good mission, Q started with the basics—a foundational version of the game. It was simple, functional, and just enough to get things rolling. Like handing over a standard-issue gadget before revealing its hidden features. _Initial game snapshot:_ ## **Enhancements:** Q upgrade the plain dino into a proper pixelated T. rex—true to the original classic. As always, Q responded with precision, swapping out the basic form for a retro-styled reptile that looked ready to take on any mission the game could throw at it. While testing the game, I noticed a curious glitch—each time my Dino successfully dodged an obstacle, everything would suddenly reset, almost like the game forgot it had just happened. It broke the flow of the run and felt a little jarring. So, I shared this experience with Q, hoping it could help smooth things out. It analyzed the problem, adjusted the logic, and patched things up. Mission back on track. **Sound effects:** Q add some sound effects And when I requested a space-themed twist on the classic desert run, Q didn’t just follow instructions—it improvised. The background transformed into a galactic expanse, the cacti morphed into sleek spaceships, and the birds into drifting asteroids. It was like asking for a pen and getting a laser-equipped grappling hook instead. Q explain me the features of the game: Q increase the difficulty over time by introducing multiple obstacles as the game progresses and increase the speed of the obstacles. Q understood the assignment—escalating the challenge with precision. **Final Game Video** Amazon Q didn’t just help me build a game—it equipped me for it. Every prompt I gave felt like issuing an order , and every response was packed with precision, creativity, and flair. No code. No delays. Just results. In this mission, I wasn’t the agent in distress—I was the one in command. And Amazon Q? It was my very own Quartermaster.

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AWS Community Builder Blog Posts

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9 months ago

Build AWS Cloud Services Hangman Game with Amazon Q Are you looking for a fun way to learn AWS service names while enjoying a classic game? In this blog...

✍️ New blog post by Nowsath

Build AWS Cloud Services Hangman Game with Amazon Q

#amazonqcli #awscommunity #awschallenge

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Forem

@forem.com.web.brid.gy

9 months ago

Build AWS Cloud Services Hangman Game with Amazon Q CLI Are you looking for a fun way to learn AWS service names while enjoying a classic game? In this blog post, I'll walk you through an AWS-themed Hangman game I built using Python and Pygame. This educational game helps players become familiar with AWS service names across different categories - perfect for AWS certification candidates or anyone interested in cloud computing. ## Game Overview The AWS Cloud Services Hangman game challenges players to guess AWS service names one letter at a time. With 8 different AWS service categories and over 80 services to guess, it's both entertaining and educational. ### Key Features: • Multiple AWS service categories (Compute, Storage, Database, etc.) • Interactive letter selection • Visual hangman drawing that builds with each wrong guess • Score tracking • Custom AWS-themed background • Clean and intuitive user interface ## How the Game Works When you start the game, you're presented with a menu screen featuring the AWS Cloud Services title. After clicking "Play Game," you select from various AWS categories like Compute, Storage, or Database. The game then randomly selects an AWS service from that category for you to guess. You have six attempts to guess the service name correctly. With each incorrect guess, another part of the hangman is drawn. Guess correctly, and you'll earn a point. After completing 10 rounds, you'll see your final score. ## Code Breakdown Let's look at the key components of the code to understand how the game works: ### 1. Game Structure The game is built using object-oriented programming with two main classes: • Button: Handles all interactive buttons in the game • Hangman: The main game class that manages game states and logic class Button: def __init__(self, x, y, width, height, text, color, hover_color, text_color=BLACK, font=font): # Button initialization code def draw(self, surface): # Draw the button on the screen def check_hover(self, pos): # Check if mouse is hovering over button def is_clicked(self, pos, event): # Check if button is clicked ### 2. AWS Service Categories The game uses a dictionary structure to organize AWS services by category: word_categories = { "AWS Compute": ["EC2", "LAMBDA", "FARGATE", "LIGHTSAIL", "BEANSTALK", ...], "AWS Storage": ["S3", "EBS", "EFS", "FSX", "GLACIER", ...], "AWS Database": ["RDS", "DYNAMODB", "AURORA", "REDSHIFT", ...], # More categories... } This makes it easy to add new services or entire categories through the custom_words.py file. ### 3. Game States The game uses a state machine pattern to manage different screens: def run(self): # Game loop while running: # Handle events based on game state if self.game_state == "menu": # Menu screen logic elif self.game_state == "category_select": # Category selection logic elif self.game_state == "playing": # Gameplay logic elif self.game_state == "game_over": # Game over screen logic # Draw the appropriate screen if self.game_state == "menu": self.draw_menu() elif self.game_state == "category_select": self.draw_category_select() # And so on... This approach makes the code modular and easier to maintain. ### 4. Background Image Handling The game loads a background image from the local images folder: # Load background image from local file images_dir = os.path.join(os.path.dirname(__file__), "images") bg_path = os.path.join(images_dir, "aws_bg.jpg") if os.path.exists(bg_path): background_images["main"] = pygame.image.load(bg_path) background_images["main"] = pygame.transform.scale(background_images["main"],(SCREEN_WIDTH, SCREEN_HEIGHT)) A semi-transparent overlay is added to ensure text remains readable: # Create a semi-transparent overlay for better text readability overlay = pygame.Surface((SCREEN_WIDTH, SCREEN_HEIGHT), pygame.SRCALPHA) overlay.fill((255, 255, 255, 180)) # White with 70% opacity ### 5. Drawing the Hangman The hangman drawing is created step by step as the player makes incorrect guesses: def draw_hangman(self): # Base pygame.draw.line(screen, BLACK, (150, 350), (250, 350), 5) # Pole if self.wrong_guesses >= 1: pygame.draw.line(screen, BLACK, (200, 350), (200, 100), 5) # Top beam if self.wrong_guesses >= 2: pygame.draw.line(screen, BLACK, (200, 100), (300, 100), 5) # And so on for each part of the hangman... ## Educational Value Beyond being a fun game, this project serves several educational purposes: 1. AWS Service Familiarity: Players naturally memorize AWS service names through repeated gameplay 2. Python Programming: The code demonstrates object-oriented programming, state machines, and event handling 3. Pygame Framework: Shows how to build interactive games with Pygame 4. UI/UX Design: Implements a clean, intuitive interface with proper feedback ## Customization Options The game is designed to be easily customizable: • **_Add New AWS Services_** : Edit the _custom_words.py_ file to add more services. • **_Change Background_** : Replace the _aws_bg.jpg_ file in the images folder. • **_Add Sound Effects_** : Place MP3 files in the sounds folder for audio feedback. ## Conclusion Building this AWS Cloud Services Hangman game was both fun and educational. It demonstrates how gaming mechanics can be used to make learning technical content more engaging. The modular code structure makes it easy to extend with new features or customize for different learning objectives. What's truly remarkable is how Amazon Q made the development process incredibly streamlined. As an AI assistant, Amazon Q helped me rapidly prototype the game, debug issues, and implement new features with minimal effort. When I encountered challenges like adding background images or fixing button spacing, Amazon Q provided immediate solutions with clear explanations. The collaborative development experience with Amazon Q transformed what could have been a complex coding project into an accessible and enjoyable process. Even developers with limited game development experience can leverage Amazon Q to build educational games like this one, receiving guidance on everything from Pygame fundamentals to AWS-specific implementations. Whether you're studying for AWS certifications or just want to become more familiar with cloud services, this game provides an entertaining way to reinforce your knowledge. And with Amazon Q as your coding partner, creating your own educational games becomes an achievable goal for developers at any skill level. The complete source code is available on GitHub, along with installation instructions and more detailed documentation. Happy coding and happy AWS learning!

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9 months ago

Developing with Prompts: Building a Game Using Q CLI Have you heard about Q Developer CLI? If you haven’t — it’s a generative AI-powered assistant. From...

✍️ New blog post by Aarush Luthra

Developing with Prompts: Building a Game Using Q CLI

#awschallenge #amazonqcli

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9 months ago

Rock, Paper, Innovation: Create a Game in Minutes with Amazon Q Introduction 🧑‍🍳 What is Amazon Q CLI? Amazon Q Developer CLI, popularly referred to as...

✍️ New blog post by Tanushree Aggarwal

Rock, Paper, Innovation: Create a Game in Minutes with Amazon Q

#aws #awschallenge #programming #ai

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9 months ago

Asteroids Game with Amazon Q: My Journey with AI-Assisted Game Development Introduction Recently, I participated in the Amazon Q challenge by creating a classic...

✍️ New blog post by Mohammad Quanit

Asteroids Game with Amazon Q: My Journey with AI-Assisted Game Development

#awschallenge #ai #llm #gamedev

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9 months ago

Recreating a Nostalgic Game with Q CLI & Pygame Back when I was studying at the College of Engineering, Trivandrum (Any CETians here?), during my MCA...

✍️ New blog post by Manu Muraleedharan

Recreating a Nostalgic Game with Q CLI & Pygame

#aws #gamedev #pygame #awschallenge

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9 months ago

🎯 Solving Puzzles with Code: A Math Adventure Game Built with Amazon Q CLI Math Adventure: An Interactive Educational Math Game for Grades 1-5 Math Adventure is a...

✍️ New blog post by Mohamed Nizzad

🎯 Solving Puzzles with Code: A Math Adventure Game Built with Amazon Q CLI

#devchallenge #awschallenge #ai #webdev

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9 months ago

I build a game within 15 minutes with Amazon Q CLI and AI Tools Building a Geometry Dash-Style Game with Amazon Q and AI Tools Overview This...

✍️ New blog post by Vuong Bach Doan

I build a game within 15 minutes with Amazon Q CLI and AI Tools

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Forem

@forem.com.web.brid.gy

9 months ago

AWS Solutions Architect Associate Last April (2024), I passed the AWS Solutions Architect Associate Exam. I took this exam to validate my AWS knowledge as I dive deeper into the cloud focusing on building and designing: 🔒 Secure Architectures 💪 Resilient Architectures 🚀 High-Performing Architectures 💰 Cost-Optimized Architectures

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Forem

@forem.com.web.brid.gy

9 months ago

🚀 Building a Space Asteroid Dodge Game Using Amazon Q CLI and Python 🎮☄️ ✍️ By Pavan Mali· #BuildOnAWS #AmazonQCLI #GameDev #GenerativeAI** 🌟 Introduction As part of the exciting Build on AWS Challenge, I recently explored the power of Amazon Q CLI, AWS's generative AI assistant, to build a fully functional Python game - without writing all the code from scratch! In this article, I'll walk you through my experience creating the Space Asteroid Dodge Game, where a spaceship dodges falling asteroids while scoring points and tracking progress. 🚀🎮 🤖 What is Amazon Q? Amazon Q is an AI-powered assistant developed by AWS that supports developers in coding, debugging, testing, and even building applications using simple prompts. The Amazon Q CLI allows developers to interact with this assistant from the terminal. With just a line of natural language, it can generate working code, fix bugs, and more! 🎯 Project Idea: Space Asteroid Dodge Game The concept was simple: "Create a Python game using Pygame where a spaceship dodges falling asteroids with a score counter and a progress bar." I wanted to build an arcade-style game that challenges the player's reflexes while demonstrating what's possible using AI in game development. 📌 Steps I Followed ✅ Signed up with an AWS Builder ID ✅ Installed Amazon Q CLI and Pygame ✅ Started an interactive session with Q CLI using the prompt: "Create a Python game using Pygame where a spaceship dodges falling asteroids with score and progress bar." ✅ Customized the generated code in VS Code ✅ Tested and played my self-built space adventure 🚀 💻 Tools & Technologies Used 🐍 Python - Core programming language 🎮 Pygame - For game development and rendering 🤖 Amazon Q CLI - To generate initial code 💻 VS Code - To edit, test, and run the code 📸 Game Preview The player navigates the spaceship left and right to dodge asteroids falling from the top. The score increases with time, and a progress bar shows survival duration. 🛠️ Customization While Amazon Q CLI provided a great starting point, I customized the game to: Improve spaceship and asteroid visuals Add sound effects Introduce a score tracker Add a simple game-over screen It was amazing to see how quickly I could iterate and build something playable - thanks to the AI-generated base code! 📂 GitHub Repository Want to check out or try the game yourself? 🔗GitHub Repository 💬 Why Amazon Q CLI Is a Game-Changer ✅ Quickly bootstrap full Python projects ✅ Saves time in boilerplate code ✅ Great for learning and experimenting ✅ Perfect for rapid prototyping Whether you're building games, scripts, APIs, or web apps - Amazon Q CLI has something to offer! 🧑‍💻 Join the AWS Builder Community 🔗 [AWS Community Builders Program ](https://aws.amazon.com/developer/community/community-builders/) If you're passionate about tech and love exploring new tools, join the AWS Builder Community and collaborate with like-minded developers. 🙏 Special Thanks Big thanks to Shafraz Rahim for leading this challenge and for the amazing idea that inspired my project! 🌟 📖 Original Medium Article by Shafraz Rahim 🔚 Conclusion Building a game with just a prompt still feels like magic! Amazon Q CLI made it fun and intuitive, and I can't wait to explore more use cases. If you enjoyed this or built something with Amazon Q yourself, let's connect and share ideas! 💡🚀 🏷️ Tags # AmazonQCLI #BuildOnAWS #AWSCommunity #Python #Pygame #GameDevelopment #AI #MachineLearning #CodingChallenge #GenerativeAI

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9 months ago

Apa itu DAKON? Dakon, atau yang juga dikenal dengan berbagai nama lain seperti Congklak, Mancala, atau Sungka,...

✍️ New blog post by Yusron Andrian

Apa itu DAKON?

#awschallenge #ai #cli

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Kubernetes

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9 months ago

Congrats to the Amazon Q Developer "Quack The Code" Challenge Winners! The ducks have quacked and the code has been cracked — it’s time to announce the winners of the...

Congrats to the Amazon Q Developer "Quack The Code" Challenge Winners! The ducks have qua...

dev.to/devteam/congrats-to-the-...

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9 months ago

Image Engineering with Amazon Nova Canvas [🎥 Video Demo Included] Amazon Nova Canvas: AI-Powered Image Generation with AWS Bedrock Amazon Nova Canvas is a...

✍️ New blog post by Mohamed Nizzad

Image Engineering with Amazon Nova Canvas [🎥 Video Demo Included]

#ai #awschallenge #devchallenge #aws

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DEV Community

@dev.to.web.brid.gy

10 months ago

Enable Versioning on an S3 Bucket and Never Lose a File Again **Introduction** Have you ever accidentally overwritten or deleted a file in AWS S3? Don't worry - there's a simple feature to save you: S3 Versioning. In this quick tutorial, I'll show you how to enable versioning on a bucket, test it by uploading multiple versions of the same file, and view or restore previous versions - all for free. **Prerequisites** An AWS account (Free Tier) A test file (e.g., test.txt) Step-by-Step 1. **Create an S3 Bucket** Go to the Amazon S3 console Click "Create bucket Click "Create bucket" Choose a unique name (e.g., my-versioning-demo-bucket) Leave all other settings as default Click "Create bucket 1. **Enable Versioning** Open your newly created bucket Go to the Properties tab Scroll down to Bucket Versioning 1. **Upload a File** Go to the Objects tab Click Upload 2. **What You Get** You've now enabled automatic version tracking for your S3 bucket. Each time you upload a file with the same name, S3 silently keeps the old version - no backup scripts needed. Why Use S3 Versioning? 🔁 Restore files deleted or overwritten by mistake 🕓 Roll back to a known good version 🧪 Test changes without fear of data loss **Conclusion** S3 Versioning is a hidden gem that acts like a built-in time machine for your files. Whether you're building apps or hosting a static website, it's a simple and powerful way to stay safe.

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10 months ago

Mining Tycoon: How My 9-Year-Old and Amazon Q Developer CLI Built a Retro Mining Game in One Afternoon This is a submission for the Amazon Q Developer "Quack The Code" Challenge: That's...

✍️ New blog post by Vivek V.

Mining Tycoon: How My 9-Year-Old and Amazon Q Developer CLI Built a Retro Mining Game in One Afternoon

#devchallenge #awschallenge #ai #webdev

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10 months ago

Amazon Q CLI for Code Review: Focus on What Changed, Not Everything This is a submission for the Amazon Q Developer "Quack The Code" Challenge: Crushing the Command...

✍️ New blog post by Ifan Jaya Suswanto Zalukhu

Amazon Q CLI for Code Review: Focus on What Changed, Not Everything

#devchallenge #awschallenge #ai #webdev

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PostgreSQL

@postgresql.activitypub.awakari.com.ap.brid.gy

10 months ago

Crushing the Command Line: How I Used Amazon Q to Build a Smarter FastAPI Scaffolder What I Built I created the FastAPI Scaffolder CLI – a zero-config generator for...

Crushing the Command Line: How I Used Amazon Q to Build a Smarter FastAPI Scaffolder What I Built...

dev.to/ken_mwaura1/crushing-the...

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