Augment Code Review 2026: Context-Aware AI for Large Codebases

What Is Augment Code?

Augment Code is an AI coding assistant built around a proprietary context engine that can process up to 200K tokens of codebase context. It is available as an extension for VS Code, JetBrains, and Vim, as well as a CLI tool. What sets it apart from tools like Copilot or Cursor is its emphasis on understanding large, complex codebases — the kind with hundreds of files, deep dependency chains, and cross-module relationships.

Augment lets you choose between GPT and Claude models on a per-task basis, so you can use whichever model performs better for a given type of work. It also includes a Memories feature that retains context about your project across sessions.

What It Does

Context Engine (200K Tokens)

The core differentiator. Augment’s context engine indexes your codebase and maintains a 200K token context window — significantly larger than what most competitors offer by default. This means when you ask it to make changes or answer questions, it can reference a much broader slice of your project. For large monorepos or microservice architectures, this translates to more accurate suggestions and fewer hallucinated references to nonexistent functions or types.

Multi-Model Selection

Unlike most AI coding tools that lock you into a single model provider, Augment lets you select between GPT and Claude models for individual tasks. This is useful because different models have different strengths — Claude tends to be stronger at careful refactoring and long-context reasoning, while GPT models can be faster for quick completions and chat responses.

Agentic Multi-File Editing

Augment supports agentic mode for tasks that span multiple files. You describe the change, and it reads your codebase, plans the edits, and applies them across files. It handles test generation, refactoring, documentation updates, and code review within the same workflow. The quality depends on the model selected and the complexity of the task.

Memories

The Memories feature stores context about your project — architecture decisions, coding patterns, preferred libraries — and uses it in future sessions. This reduces the need to re-explain your project’s conventions every time you start a new session. It is particularly helpful for developers who return to the same codebase day after day.

Tool Integrations

Augment connects to over 100 external tools and services, allowing it to pull context from documentation, issue trackers, and other development resources. This extends its codebase awareness beyond just the files in your project.

Pricing

Plan	Price	Key Features
Indie	$20/mo	125 messages, 40K credits
Standard	$60/mo	Higher limits, full features
Power User	$200/mo	Highest limits for heavy usage
Enterprise	Custom	SSO, admin controls, custom deployment

There is no free tier. The Indie plan at $20/mo includes 125 messages and 40,000 credits. The credit system is the main source of confusion — different actions consume different amounts of credits, and it takes time to develop an intuition for how quickly you will burn through your allocation. The Standard plan at $60/mo is where most active developers end up.

Pricing verified February 2026. Check Augment Code pricing for current pricing.

Strengths

The 200K context engine is a genuine advantage for large codebases. If you work on a project with tens of thousands of files, the difference between 32K and 200K tokens of context is the difference between the AI understanding your immediate file versus understanding how that file connects to the broader system. Augment’s context engine consistently produces more accurate cross-file suggestions than tools with smaller context windows.

Model choice per task is uniquely flexible. Being able to switch between GPT and Claude depending on the task at hand is practical. You are not locked into one provider’s strengths and weaknesses.

Memories reduce session startup friction. On long-running projects, not having to re-explain your architecture, naming conventions, and preferred patterns every session saves real time. The Memories feature accumulates project knowledge that persists.

Weaknesses

No free tier creates a barrier to evaluation. Unlike Copilot, Cursor, and Amazon Q Developer, which all offer free plans, Augment requires a $20/mo commitment before you can try it. This makes it harder to evaluate casually.

Credit-based pricing is hard to predict. The message and credit limits on each tier mean your effective cost depends on how you use the tool. Developers who make heavy use of agentic mode can exhaust credits faster than expected.

Smaller community and ecosystem. Augment is a newer entrant compared to Copilot (2021) and Cursor (2023). There are fewer tutorials, community workflows, and public discussions about best practices. This matters when you hit an edge case and search for solutions.

Who It’s For

Augment Code fits well for:

• Developers working on large, complex codebases where context depth matters
• Teams that want model flexibility rather than being locked to one provider
• Professional developers willing to pay for a tool that understands their project deeply
• Organizations with monorepos or microservice architectures

Augment Code is a harder sell for:

• Individual developers who want a free or low-cost starting point (Copilot or Amazon Q Developer are better)
• Developers working on small projects where 200K context is overkill
• Teams that prefer flat, predictable pricing without credit systems
• Beginners who want a guided experience (Cursor is more approachable)

Sources

• Augment Code
• Augment Code Pricing
• Augment Code Documentation