Meet Augment: The AI Dev Tool That Codes Like You Think

Widespread adoption of AI agents is occurring everywhere, including in software development. Today, we have Augment Code, an AI agent that can index your codebase, and the agents under the hood. Now, powered by the latest Claude Sonnet 4, making it very practical for building applications and adding features to your applications. Augment is used extensively for vibe coding, a coding style that has received a lot of traction recently. In this article, we’ll go over what Augment is, how it can be used for vibe coding, and how to build an application using it. 

What is Augment AI?

Augment is an enterprise-ready coding platform that lets you analyze, manage, and work with repositories. It indexes the code in real-time and has access to tools like web search to help the agent understand any new documentation. With simple prompts, you can gain insights about your codebase, modify it, or even create a completely new application from scratch. 

Three things make Augment intelligent that you should know about:

• Model Context Protocol (MCP): Acts like a universal connector, allowing AI agents to interact with a wide range of external tools and data sources, making it easy to fetch information or perform actions.
• Native tools: Augment includes direct integrations with platforms like Jira and Notion, enabling developers to manage documentation, issues, and project tasks from within their development environment using prompts.
• Context Engine: Augment analyzes the entire codebase in real-time, ensuring every suggestion and code completion is relevant to the project, and follows a similar coding style while modifying the existing codebase.

Also Read: Building a CodeBase Explorer with Google’s Gemini-2.0

Pricing Information

Augment offers a free trial for the first 14 days to new users, and there are multiple paid plans ranging from $0 to $250, mostly differing in the number of user messages. You can find more information about the pricing below. 

What is Vibe Coding?

This is a recent approach to coding introduced by Andrej Karpathy (co-founder of OpenAI) in February 2025, where a user prompts through text/speech to build or modify applications relying on Artificial Intelligence. The user refines the application with multiple prompts based on the outputs and guides AI towards the goal. It can be used for:

1. Rapid Prototyping and MVP Development: Minimum viable products (MVPs) or prototypes can be quickly built and tested just by describing the desired features.
2. Automating Repetitive Coding Tasks: Vibe coding can simplify tasks such as generating writing documentation, automating the existing code, and testing the code.
3. Building a Website: Vibe coding allows you to create a website by simply describing your requirements and letting AI handle the technical implementation.

Learn more about Vibe coding here.

Note: Users need to keep in mind that they may not fully understand the code written by AI, and also, LLMs will not always fix or understand bugs. Sometimes, it needs users need to experiment with multiple prompts to get the desired results.

How to Install Augment?

Note: Use the ‘@’ to focus on a particular file, folder, or documentation while prompting.

Building with Augment

Let’s build a gaming application, more specifically, our version of the Flappy Birds game from scratch using Augment. Make sure you set the mode to ‘Agent’ for proper functionality.

Just send a prompt and sit back and watch the magic.

Prompt 1: Create a Flappy Bird Game

“Create a basic version of the Flappy Bird game using [your preferred programming language, e.g., Python with Pygame, or JavaScript with HTML Canvas]. The game should include:

• A player-controlled bird that moves upward when a key (such as the spacebar) is pressed and falls due to gravity when not pressed.
• Collision detection so the game ends if the bird hits a pipe or the ground.
• A scoring system that increases each time the bird successfully passes through a set of pipes.
• Track of the highest score”

Notice how there are checkpoints created before any changes are made. This will help you easily move to a checkpointed version of code anytime. I also suggest you create a new chat with the Agent frequently, instead of continuing the chat for more than 4-5 prompts for better results.

Output:

The game was prepared in less than a minute, and the files were displayed in the chat.

Great! It’s working as expected, and the high score is also being saved in a text file. 

Now, let’s add an option to select the bird:

Prompt 2: Modify the Game

“Modify the @flappy_bird.py script to support multiple bird colors and add a bird selection feature before gameplay begins. Specifically:

• Add at least three distinct bird colors (e.g., red, blue, yellow)
• Implement a selection screen that appears before the game starts, allowing the player to choose their preferred bird color using the left & right arrow keys.
• Ensure the selected bird color is used throughout the game session.”

Output:

Now, you can see that it all boils down to clear and specific prompts. You could also dive into the code and ask it to specifically modify something or define a function.

I would suggest that you continue vibe coding and modify the game to change the aspect ratio to 16:9 for desktops and change the background image.

Conclusion

AI agents can be valuable to developers to build, modify, and manage complex codebases with great speed and accuracy. Augment is very capable, as I have used it on codebases having over 1000 lines of code, and it does a very good job of analyzing the code, adapting to the code, fixing bugs, and adding new code. I suggest you explore Augment on other projects to see what it’s capable of. 

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Mounish V

Passionate about technology and innovation, a graduate of Vellore Institute of Technology. Currently working as a Data Science Trainee, focusing on Data Science. Deeply interested in Deep Learning and Generative AI, eager to explore cutting-edge techniques to solve complex problems and create impactful solutions.