What Is Augment Code?

Augment Code is an AI-powered developer platform built specifically for professional software engineers working with large, complex codebases. Unlike general-purpose AI coding tools that treat code as text, Augment's proprietary Context Engine builds a semantic map of your entire project — analyzing dependencies, architectural patterns, and relationships across repositories.

Who Is It For?

Augment Code is designed for professional developers and engineering teams who work with enterprise-scale codebases, often spanning hundreds of thousands of files across multiple repositories. It's particularly valuable for teams dealing with legacy systems, complex architectures, and multi-language monorepos where context is critical for accurate AI assistance.

Key Differentiators

Augment's Context Engine supports up to 200,000 tokens of context, enabling it to understand your entire stack rather than just the file you're currently editing. The platform ranks #1 on SWE-Bench Pro benchmarks, beating competitors like Cursor and Claude Code. It offers autonomous agents for IDE and CLI, code review capabilities that catch critical bugs with high precision, and persistent memory that adapts to your coding style over time.

Pricing Overview

Augment Code offers a free tier for individual developers with limited usage, paid individual plans, and team/enterprise plans with advanced features including ISO/IEC 42001 certification and SOC 2 Type II compliance. Enterprise customers get customer-managed encryption keys and guaranteed code privacy.

JMK Ventures Perspective

We recommend Augment Code for development teams working on complex, production-grade software where context accuracy is paramount. The depth of its codebase understanding sets it apart from autocomplete-focused tools, making it especially valuable for teams scaling engineering operations or onboarding developers onto large existing codebases.

• Navigating and understanding large legacy codebases with complex dependencies
• Autonomous code generation and refactoring across multi-file projects
• AI-powered code review that catches architectural issues and critical bugs
• Accelerating developer onboarding by providing instant codebase context and documentation
• Converting design files from Figma and screenshots into working code implementations
• Terminal-based agentic coding for engineers who prefer command-line workflows