Augment Agent: RIP Cursor! NEW Agentic AI IDE! AI Software Engineer Automates Your Code (Opensource)
Summary
A new AI pair programmer named Augment Agent has been introduced for professional software engineers and large code bases, achieving a success rate of 65.4% using the OpenAI GPT-3 model. It offers fast and cost-effective solutions along with deep IDE integrations, challenging tools like Cursor and Windsurf. Augment Agent can handle various complex tasks, learns from coding history, adapts to infrastructure, and supports indexing for large code bases. Users can access and interact with the agent in their preferred IDE like Visual Studio Code through natural language instructions and terminal commands.
Introduction to Augment Agent
A new AI pair programmer called Augment Agent has been launched, targeting professional software engineers and large code bases. It boasts a high success rate of 65.4% and utilizes the OpenAI GPT-3 model for assembling without prior training data. The agent supports faster, cheaper models and deep IDE integrations, making it a strong competitor to existing tools like Cursor and Windsurf.
Augment Agent Features
Augment Agent is capable of handling complex tasks, running tests, identifying UI issues, suggesting fixes, and debugging front ends with minimal effort. It learns from a developer's coding history, adapts to the infrastructure, and improves over time with persistent memory. The agent supports indexing for large code bases and can effortlessly handle thousands of lines of code.
Getting Started with Augment Agent
To start using Augment Agent, users need to subscribe to the service, download the extension, and integrate it with their preferred IDE such as Visual Studio Code. The agent can be accessed within the IDE, where users can interact with it through natural language instructions and execute terminal-based commands.
FAQ
Q: What is the name of the new AI pair programmer launched?
A: The new AI pair programmer is called Augment Agent.
Q: What is the success rate of Augment Agent?
A: The success rate of Augment Agent is 65.4%.
Q: What model does Augment Agent utilize for assembling code?
A: Augment Agent utilizes the OpenAI GPT-3 model for assembling code.
Q: What are some features of Augment Agent that make it a strong competitor to existing tools?
A: Some features of Augment Agent that make it a strong competitor include faster, cheaper models, deep IDE integrations, handling complex tasks, running tests, identifying UI issues, suggesting fixes, and debugging front ends with minimal effort.
Q: How does Augment Agent improve over time?
A: Augment Agent improves over time by learning from a developer's coding history, adapting to the infrastructure, and having persistent memory.
Q: What steps do users need to take to start using Augment Agent?
A: Users need to subscribe to the service, download the extension, and integrate Augment Agent with their preferred IDE such as Visual Studio Code to start using it.
Q: How can users interact with Augment Agent?
A: Users can interact with Augment Agent within their IDE through natural language instructions and by executing terminal-based commands.
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