Augment Code

Augment Code is an enterprise-oriented AI software engineering platform built around a semantic Context Engine that gives AI agents deep, codebase-aware understanding. It supplies context and agents through IDEs (VS Code, JetBrains, Vim/Neovim), a terminal CLI called Auggie, GitHub code review, MCP/SDK context services, and the Cosmos cloud automation platform.

Founded by former Google and Apple engineers with backing from Sutter Hill Ventures, Augment targets teams working across large monorepos and complex production codebases where whole-repo context matters more than raw code generation speed.

Key Features

1. Context Engine

The central differentiator: Context Services expose semantic search through MCP, TypeScript and Python SDKs, HTTP, CLI, and open-source connectors for repositories, documentation, schemas, runbooks, and local files.

2. Agentic IDE Assistance

Agent: Creates a plan, edits files, executes commands, uses MCP integrations, exposes every action, and saves checkpoints for rollback.
Chat and Suggestions: Context-aware answers and suggestions as you code.

3. Remote Agents

Spin up 5, 10, 15+ containerized agents in Augment's cloud infrastructure that work in parallel on tickets in the background — freeing you for the complex, interesting problems.

4. Auggie Terminal CLI

A terminal UI agent that reads and writes files, calls APIs, runs commands, and automates workflows across complex codebases.

5. GitHub Code Review

AI-powered review of pull requests on every paid plan, with cross-repo context and enterprise controls (analytics, allowlists, multi-org, MCP for Jira/Linear/Notion).

6. Subagents and Cosmos Automation

Configurable CLI subagents with independent context windows, plus Cosmos for concurrent remote sessions and enterprise-scale workflow execution.

Use Cases

Large Monorepos: Get up to speed on unfamiliar projects and understand service dependencies.
Legacy Refactoring: Refactor legacy code with agents that understand the whole system.
Unit Testing: Write effective unit tests faster with full codebase context.
Ticket Automation: Parallel remote agents work on GitHub issues in the background.

Pricing

Business: Flat $100/month for up to 50 seats, including $100 of pooled monthly usage (LLM + Context Engine + compute). Top-ups available pay-as-you-go. LLM usage bills at provider list price plus a 40% service fee.
Enterprise: Custom pricing with SSO/OIDC/SCIM, CMEK, ISO 42001, data residency, private deployment, and dedicated support.
Free: No free plan since July 2026 (trial available).

Advantages & Unique Selling Points

Enterprise-Grade Context: Deep semantic understanding of large, complex codebases.
Parallel Remote Agents: Run 15+ agents simultaneously in the cloud.
Security & Compliance: SOC 2 Type II, no AI training on paid-plan data, CMEK and ISO 42001 on Enterprise.
Team-First Pricing: Flat pricing with pooled usage — no per-seat waste.

User Reviews

"Augment combines IDE extensions, the Auggie terminal agent, a deep Context Engine, MCP and SDK context services, end-to-end coding agents, subagents, GitHub code review, and the Cosmos automation platform." — Graphify, Augment Code Review

"The deep codebase understanding is the reason people put up with the metering, and it holds up well on large, complex repositories. Users rate it 4.7/5." — Comparedge

"Instead of having an agent working on my local machine, I can spin up 5, 10, 15 remote agents that all work in parallel." — Augment Code demo

Getting Started

Install: Add the Augment extension to VS Code, JetBrains, or your editor.
Connect: Set up your workspace and connect your repositories.
Authenticate: Sign in and choose your model providers.
Start Working: Use Agent or Chat for coding, remote agents for background tickets, and Auggie in the terminal.

Limitations

No Free Tier: Since July 2026, only Business and Enterprise plans are offered.
Cost Metering: The 40% service fee on LLM usage and pooled credits can be confusing; power users may hit top-ups.
Enterprise Focus: Less relevant for solo developers or small hobby projects.
Completion Deprecation: Code completions were de-emphasized in favor of agents and context.

Conclusion

Augment Code is a team-oriented AI software engineering platform that shines where codebase context is the bottleneck — large monorepos, legacy systems, and regulated enterprises. Its Context Engine, parallel remote agents, and enterprise-grade security make it a strong choice for teams that want AI to understand their systems deeply rather than just generate code fast. If you're a small team with a big codebase, the flat $100/month Business plan is a compelling entry point.

Recommended for: Engineering teams in large or complex codebases, enterprises needing compliance, and teams wanting shared semantic context across IDE, CLI, and code review.

Not recommended for: Solo developers or hobbyists wanting a free tool, or teams preferring per-seat subscriptions with predictable individual pricing.

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