Best AI Coding Agents for Augment Code

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Compare the Top AI Coding Agents that integrate with Augment Code as of October 2025

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This a list of AI Coding Agents that integrate with Augment Code. Use the filters on the left to add additional filters for products that have integrations with Augment Code. View the products that work with Augment Code in the table below.

What are AI Coding Agents for Augment Code?

AI coding agents are software tools powered by artificial intelligence designed to assist or fully automate the process of writing, reviewing, and optimizing code. These tools can generate code snippets, suggest improvements, debug errors, and even refactor entire codebases based on user input or project requirements. By leveraging machine learning and natural language processing, AI coding agents can understand and interpret programming languages, offering context-aware code suggestions that speed up development and reduce errors. They often integrate with popular Integrated Development Environments (IDEs) or version control systems, making them a seamless part of the developer's workflow. AI coding agents are especially useful in boosting productivity, assisting with repetitive tasks, and providing coding solutions for developers at all skill levels. Compare and read user reviews of the best AI Coding Agents for Augment Code currently available using the table below. This list is updated regularly.

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    Auggie CLI

    Auggie CLI

    Augment Code

    Auggie CLI brings Augment’s intelligent coding agent directly into your terminal by leveraging its powerful context engine to analyze code, make edits, and execute tools both interactively and within automated workflows. Developers can install it via npm (requiring Node.js 22+ and a compatible shell), then launch a full-screen interactive session using auggie, complete with real-time streaming, visual progress, and conversational tooling, for debugging, feature development, PR review, or triaging alerts. For automation, Auggie offers streamlined modes ideal for CI/CD pipelines and background tasks. The CLI also supports custom slash commands for repeatable workflows, integrates with external tools and systems via native integrations and Model Context Protocol (MCP) servers, and can be scripted in pipelines or GitHub Actions for tasks like auto-generating PR descriptions.
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