Augment operates on a freemium model, offering limited access to its functionalities. It also provides an 'Indie plan' for $20 per month, which includes 125 user messages, and utilizes a credit-based system where pricing reflects the actual cost of processing prompts.

What are the main features of Augment?

Augment's main features include LLM-powered agent construction for workflow automation, an industry-leading context engine supporting up to 200,000 tokens, codebase Q&A, AI Code Completions, Suggested Edits, Intelligent Code Review, and Bug Detection. It also supports the Model Context Protocol (MCP) for broader AI agent integration.

How does Augment compare to alternatives?

Augment differentiates itself by combining deep codebase understanding for software engineers with LLM-powered workflow automation across enterprise tools. While competitors like GenFuse AI and Lindy focus heavily on email automation, and Nurix AI offers broader enterprise automation, Augment provides a specialized AI coding platform that integrates with tools like Salesforce and Jira, similar to Glean, but with a core emphasis on the software development lifecycle.

AI Tool

Augment Review

Augment is an AI software development platform that builds LLM-powered agents to automate workflow tasks within existing enterprise tools like Gmail, Salesforce, and Jira, primarily assisting professional software engineers with complex codebases.

shipped Apr 2, 2026aifreemium

Augment - AI tool for augment. Professional illustration showing core functionality and features.

Why it matters

1Supports up to 200,000 context tokens, enabling processing of entire monorepos (April 7, 2025).

2Switched its default model to GPT-5.4 for multi-agent orchestration (March 27, 2026).

3Launched Model Context Protocol (MCP) support, improving agentic coding performance by 30% to 80% (February 6, 2026).

4Offers an 'Indie plan' for $20 per month, providing 125 user messages (September 2025).

Stork’s verdict on Augment

Augment offers an industry-leading context engine for large codebases, but it's overkill for smaller projects or simpler dev tasks.

overview

What is Augment?

Augment is an AI software development platform tool developed by Augment that enables professional software engineers to automate workflow tasks within existing enterprise tools and manage complex codebases. It functions as an AI copilot and coding assistant with a superior context engine. Augment is designed to assist professional software engineers in analyzing, managing, and working with large, complex codebases, aiming to augment human developers rather than replace them. The platform indexes entire codebases in real-time, including multiple repositories, to gain a comprehensive understanding of project architecture, dependencies, and coding style. Its core component, the context engine, supports up to 200,000 context tokens, allowing it to pull detailed context from integrated tools like GitHub, Jira, and Notion, maintaining consistency across code generations.

features

Key Features of Augment

Augment provides a suite of AI-powered capabilities designed to enhance the software development lifecycle, focusing on deep codebase understanding and automation. These features are built upon an industry-leading context engine and LLM-powered agents.

LLM-powered agent construction for automating workflow tasks within existing enterprise tools.
Industry-leading context engine for deep codebase understanding and real-time indexing of multiple repositories.
Codebase Q&A, enabling users to ask questions, hunt down bugs, and spec out new features.
AI Code Completions that provide intelligent, context-aware suggestions and complete entire functions and code blocks.
Suggested Edits / Next Edit functionality, proposing associated changes across the repository.
Intelligent Code Review and Bug Detection capabilities to identify potential quality improvements and generate automated tests.
Support for up to 200,000 context tokens, allowing processing of large monorepos and detailed context integration.
Model Context Protocol (MCP) support, enabling its context engine to be used with any AI coding agent or platform.
Automation of repetitive, high-volume tasks to free human developers for strategic work.

use cases

Who Should Use Augment?

Augment is primarily designed for professional software engineers and development teams working with complex and extensive codebases, aiming to streamline various aspects of the software development process.

Professional software engineers: For analyzing, managing, and working with large, complex codebases, leveraging AI for insights and modifications.
Software engineering teams: To accelerate onboarding to new projects and teams, reducing the time required to understand existing or legacy code.
Developers working with enterprise tools: To automate workflow tasks within existing platforms such as Gmail, Salesforce, and Jira.
Teams focused on code quality: For intelligent code review, bug detection, and ensuring consistency in style and logic across code generations.
Engineers practicing 'vibe coding': To allow the AI to adapt to the codebase, fix bugs, and add new code while maintaining the project's existing style.

pricing

Augment Pricing & Plans

Augment operates on a freemium model, offering various plans that have evolved over time. Initially, it moved from unlimited chats/completions to a message-based model, which was later refined. In September 2025, an 'Indie plan' was introduced, targeting individual builders with light to moderate daily development needs. Subsequently, Augment shifted to a credit-based system, where credits are designed to reflect the actual cost of processing prompts. On August 17, 2024, Augment introduced on-chain energy verification and transparent pricing built on blockchain technology, providing verifiable records of resource usage and real-time, market-driven rates for AI compute operations.

Freemium: Provides limited access to core functionalities.
Indie Plan: $20 per month, offering 125 user messages, designed for individual developers.
Credit-based system: Pricing reflects the actual cost of processing prompts and AI compute operations.

Similar Tools

Augment vs Competitors

Augment operates in a competitive landscape of AI-powered automation and coding platforms, distinguishing itself through its deep codebase understanding and integrated workflow automation within enterprise tools.

GenFuse AIOn Stork Compare

GenFuse AI specializes in transforming Gmail into an automated command center, liberating information from inboxes and proactively executing tasks within other enterprise tools.

Similar to Augment, GenFuse AI focuses on LLM-powered agents to automate tasks within existing enterprise tools, with a strong emphasis on Gmail integration and extending automation to platforms like Salesforce and Jira.

LindyOn Stork Compare

Lindy is a no-code AI automation platform that acts as an email AI assistant, automating email-related workflows and integrating with over 7,000 applications.

Lindy directly competes by offering AI-powered automation for email workflows, including integrations with CRM and project management tools, similar to Augment's focus on automating tasks within existing enterprise applications like Gmail and Salesforce.

Nurix AI↗

Nurix AI is an enterprise-grade automation platform engineered for large-scale organizations, providing secure, scalable AI agents for end-to-end automation across voice, chat, and email with strong compliance.

Nurix AI offers a broader, enterprise-focused approach to AI agent automation across multiple communication channels and business platforms, whereas Augment emphasizes workflow tasks within specific existing enterprise tools.

GleanOn Stork Compare

Glean provides an AI assistant platform that seamlessly integrates Salesforce and Jira, enhancing data retrieval and automating task management between these critical systems.

Glean directly competes with Augment in the realm of integrating and automating workflows between specific enterprise tools like Salesforce and Jira, focusing on intelligent information access and task management within these platforms.

Visit Augment↗

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