Augment Code Review 2026: Context Engine, Pricing & Limits

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Last verified: October 12, 2026. This is an editorial research review — how we review. Prices and plans change often; confirm on the vendor’s site.

Status update: Next Edit and Completions were retired for non-Enterprise plans on March 31, 2026; Augment's pricing and marketing now center on Cosmos and the Auggie CLI.

Augment Code built its reputation on one idea: the model matters less than the context you give it. Its Context Engine indexes large, multi-repository codebases so that its agent can work with an understanding of architecture, dependencies and conventions rather than only the open file. For a long time the main way to use it was an extension for VS Code and JetBrains IDEs.

In 2026 the company’s emphasis has shifted. Augment retired inline completions and Next Edit for non-Enterprise plans on March 31, 2026, moved to token-based pricing, and now leads its website and pricing page with Cosmos, a platform for running agents in the cloud on events such as new tickets and pull requests. The IDE extensions are still maintained and updated, but they are no longer the center of the pitch.

This editorial research review is based on Augment’s pricing page, documentation, changelog and marketplace listings, plus public discussion of its product changes. It is written for developers and engineering leads who work in large codebases and are weighing Augment against more general IDE assistants.

Quick verdict

Augment is a strong fit when codebase understanding is the bottleneck: large monorepos, many services, legacy code and cross-repository changes. Its agent is available in VS Code, JetBrains IDEs and the terminal, its Context Engine can also be plugged into other agents through MCP, and its pricing is transparent about what each request costs. The drawbacks are real, though. Autocomplete is gone unless you are on Enterprise, usage carries a 40 percent service fee on top of model list prices, and the company’s focus has clearly moved toward Cosmos, so IDE-first buyers should confirm that the extension fits their plan and roadmap before committing.

Pro: The Context Engine is designed for large, multi-repo codebases and is available to other agents through MCP.
Pro: Agent and chat in VS Code and JetBrains IDEs, plus the Auggie CLI for terminals, CI and ACP-compatible editors.
Pro: Wide model choice across Anthropic, OpenAI, Google, xAI and others, with published per-token rates.
Pro: Flat team plans with no per-seat charge for up to 50 users, and a “no AI training” commitment on paid plans.
Con: Code completions and Next Edit were retired for non-Enterprise plans on March 31, 2026.
Con: A 40 percent service fee on LLM usage makes heavy use more expensive than paying model providers directly.
Con: Pricing and marketing now center on Cosmos and the CLI, leaving the IDE extensions’ long-term role unclear.
Con: Usage dashboards and budgets are Enterprise-only.

Visit Augment Code

What is Augment Code?

Augment Code describes itself as “the AI-native coding platform built for enterprise-grade software engineering.” Today it spans four surfaces built on the same Context Engine: IDE extensions for VS Code and JetBrains IDEs (plus a Vim and Neovim plugin for chat), the Auggie CLI, Cosmos for cloud and self-hosted agents, and Augment Code Review for pull requests.

The common thread is context. Augment says its Context Engine provides semantic code search, relationship awareness across files, repositories and services, and indexing of commit history, codebase patterns and external sources such as documentation and tickets. That is the main reason to choose Augment over a general-purpose assistant.

Key features

Context Engine

Augment indexes your workspace so the agent can retrieve relevant code without you selecting files, and you can add further repositories as context. The Context Engine is also offered as an MCP server, locally through the Auggie CLI or remotely through the Augment GitHub App, with guides for Claude Code, OpenAI Codex, Cursor, GitHub Copilot, Zed and other clients. MCP queries use the same token-based pricing.

Agent and chat in VS Code and JetBrains

In the IDE, Augment’s Agent plans and implements multi-step tasks, editing files, running terminal commands and calling tools through MCP and integrations such as GitHub, Linear, Jira and Confluence. Changes appear as reviewable diffs with automatic checkpoints. A Tasklist breaks down larger problems, a prompt enhancer adds codebase context to rough requests, and rules encode team conventions. The JetBrains plugin requires IDE version 2025.2 or newer since its August 2026 release.

Auggie CLI

Auggie brings the same agent to the terminal, with interactive and non-interactive modes for scripts and CI, subagents, slash commands, hooks, skills, tool permissions and service accounts. It also runs as an Agent Client Protocol agent for editors such as Zed, Neovim and Emacs, and has TypeScript and Python SDKs.

Cosmos

Cosmos runs agents in sandboxed cloud VMs or on your own machines through self-hosted daemons. Reusable “Experts” handle jobs such as turning tickets into pull requests, fixing review findings and CI failures, reviewing code and investigating incidents, and they can be triggered by GitHub, Linear, Slack, PagerDuty, schedules or webhooks. Cosmos goes beyond what most IDE assistants offer, but it is a separate workflow from coding in your editor.

Code review

Augment Code Review comments on GitHub pull requests, using the Context Engine to look for bugs, security issues and cross-system breakages rather than style issues. Documentation covers GitHub Enterprise Server and other platforms such as GitLab, Bitbucket and Azure DevOps, and describes a migration path from the original review bot to Cosmos.

Model choice

Augment’s model list includes current Claude, GPT, Gemini, Grok, GLM and Kimi models, plus “Prism” options that route each request within a model family. Augment says Prism is designed to cost on average 20 to 30 percent less than frontier models. Administrators can restrict model access.

Who should use Augment Code

Teams working in large monorepos or multi-repo systems where codebase context is the main obstacle.
Organizations that want one context layer across IDE agents, terminal agents, CI and pull request review.
Teams interested in event-driven cloud agents through Cosmos.
Enterprise buyers who need CMEK, SSO/SCIM and continued access to completions.

Who should skip it

Developers who mainly want fast inline autocomplete on a self-serve plan.
Budget-conscious users who would rather pay model providers directly without a service fee.
Buyers who want an assistant whose roadmap is firmly centered on the IDE.

Strengths and limitations

Strengths

Context for large codebases. Augment’s whole product is organized around retrieving the right code from big, interconnected systems. Teams that struggle to get useful answers from assistants on large monorepos or many-service architectures are its natural audience.

Transparent unit economics. Publishing per-model token rates, the service fee and the compute rate makes it possible to estimate costs and compare them with direct API use, which is not true of every credit-based competitor.

Reach beyond the editor. The same context and agent are available in the IDE, the terminal, CI pipelines, ACP-compatible editors, pull request review and Cosmos automations.

Team-friendly packaging. Flat plans for up to 50 seats avoid per-seat pricing, and paid plans state that AI training on customer data is not allowed.

Limitations

No autocomplete below Enterprise. Augment said in March 2026 that it was retiring Next Edit and Completions for non-Enterprise plans because usage was declining as developers shifted to agent-centric workflows. If inline suggestions are central to how you work, Augment no longer covers that outside Enterprise.

Uncertain IDE roadmap. Augment’s homepage and pricing page now focus on Cosmos and the CLI. In mid-2026 some users publicly reported receiving notices that the IDE extensions were being wound down, including in a post on a competing vendor’s blog. Augment has not published such an announcement in its changelog, and its VS Code extension and IntelliJ plugin received updates in August, September and October 2026, but the direction of travel is clear.

Cost at scale. The 40 percent fee on LLM usage funds the Context Engine and platform, but it means agent-heavy teams pay noticeably more than provider list prices. The Standard plan’s $20 of included usage is shared across the whole team.

Admin visibility. Organization usage dashboards and budgets are documented as Enterprise-only, which limits cost control on Standard and Business. The VS Code Marketplace listing also still refers to older plan names, which can confuse buyers.

Pricing (as of October 2026)

Plan	Price	What you get
Standard	$20 per month, flat	Up to 50 seats with no per-seat charge; $20 of included usage; pay-as-you-go top-ups
Business	$100 per month, flat	Up to 50 seats; $100 of included usage across LLM tokens, compute and service fees; pay-as-you-go top-ups
Enterprise	Custom	Unlimited users, custom usage, SSO/OIDC/SCIM, CMEK, ISO 42001, usage dashboards and budgets, dedicated support; completions and Next Edit still supported

Usage is billed at each model provider’s public API list price plus a flat 40 percent service fee on LLM usage; Cosmos compute costs $0.19 per hour in five-minute increments, with no service fee. Included usage and top-ups are pooled across the team. Augment’s own illustrative examples put a small bug fix with Claude Sonnet 5.5 at about $0.25 and a larger design-and-implement task with Claude Opus 5 at about $0.85, including the fee. Note that the pricing page lists Cosmos and the CLI as plan features and does not mention the IDE extensions, so confirm IDE access for your plan on Augment’s pricing page or with sales before buying.

See Augment Code pricing

Prices verified on October 12, 2026 against the official Augment Code pricing page. Plans change often — confirm on the vendor’s page before you buy.

Use cases

Augment Code is built around its Context Engine, so its strongest use cases involve large or interconnected codebases. The scenarios below are drawn from Augment’s documentation and the research behind our review, not from hands-on testing.

Cross-service changes in a large monorepo

A platform team needs to change a shared API field that is used across many services and repositories. Augment’s Context Engine indexes the workspace and can add further repositories as context, and its Agent in VS Code or JetBrains plans the change and presents edits as reviewable diffs with automatic checkpoints. In our assessment, this is the kind of task where retrieving the right code across files and services matters more than the choice of model. Confirm that IDE access is covered by your plan first, because Augment’s pricing page now emphasizes Cosmos and the CLI.

Giving another agent better codebase context

A team that already uses Claude Code, OpenAI Codex or Cursor wants those agents to understand a large codebase without switching tools. Augment offers its Context Engine as an MCP server, locally through the Auggie CLI or remotely through the Augment GitHub App, and publishes setup guides for those clients and others. The caveat is cost: MCP queries use the same token-based pricing as Augment’s other products, so budget for them alongside the rest of your team’s usage.

Turning tickets into pull requests in the background

An engineering lead wants routine tickets from Linear or GitHub picked up automatically and returned as pull requests. Cosmos runs reusable “Experts” in sandboxed cloud VMs or on self-hosted daemons, and they can be triggered by GitHub, Linear, Slack, PagerDuty, schedules or webhooks. In our assessment, this suits teams with a steady stream of well-scoped tickets and a solid human review process. It is a separate workflow from coding in the editor, and cloud compute is billed by the hour on top of model usage.

Context-aware pull request review

A team that keeps shipping changes that break other services wants review comments that look beyond the diff. Augment Code Review comments on GitHub pull requests and uses the Context Engine to focus on bugs, security issues and cross-system breakages rather than style. Its documentation also covers GitHub Enterprise Server and platforms such as GitLab, Bitbucket and Azure DevOps. Augment describes a migration path from the original review bot to Cosmos, so check which setup it currently recommends before rolling it out.

Scripted agent runs in CI

A DevOps engineer wants an agent to run inside a pipeline, for example to carry out a scripted refactor or triage a failing build. The Auggie CLI has a non-interactive mode for scripts and CI, service accounts, hooks and tool permissions, plus TypeScript and Python SDKs for custom integrations. In our view, output from unattended runs should still go through normal code review, with tool permissions kept narrow.

Alternatives

GitHub Copilot offers unlimited completions on paid plans and GitHub-native agents across many IDEs.
JetBrains AI is the native choice for IntelliJ-based IDEs, with free unlimited completion and the Junie agent.
Claude Code is a terminal-first agent that can also use Augment’s Context Engine through MCP.
Cursor suits developers who prefer an AI-first editor with built-in codebase indexing.

Final verdict

Augment Code remains one of the most context-focused coding tools available, and its agent, CLI and Context Engine are well suited to large, complex codebases. As an IDE assistant specifically, it is a more qualified recommendation than it was a year ago: completions are now Enterprise-only, pricing adds a 40 percent fee to model costs, and the company’s attention has moved to Cosmos. Choose it for the context engine and agent workflows, confirm that IDE access is covered by your plan, and look elsewhere if autocomplete is what you need most.

Visit Augment Code

FAQ

Is Augment Code free?

No free plan is listed. As of October 2026, Augment’s pricing page shows three plans, Standard, Business and Enterprise, and the two self-serve plans each include a usage allowance shared across the team, with pay-as-you-go top-ups beyond it. Check Augment’s pricing page for current terms before buying.

Does Augment Code still have autocomplete?

Only on Enterprise. Augment retired inline Completions and Next Edit for non-Enterprise plans on March 31, 2026, saying usage was declining as developers moved to agent-centric workflows. If inline suggestions are central to how you work, we think GitHub Copilot or JetBrains AI are closer fits.

Does Augment Code work with JetBrains IDEs?

Yes. Augment’s Agent and chat are available as a JetBrains plugin, which has required IDE version 2025.2 or newer since its August 2026 release, alongside the VS Code extension and a Vim and Neovim plugin for chat. Because the pricing page lists Cosmos and the CLI as plan features without mentioning the IDE extensions, confirm IDE access for your plan with Augment before committing.

Is my code used to train AI models?

Augment’s pricing page states that AI training on customer data is not allowed on its paid plans. Enterprise adds further controls such as customer-managed encryption keys (CMEK) and SSO/OIDC/SCIM. If your code is subject to strict data rules, ask Augment for its current commercial terms before rollout.

Can I use Augment’s Context Engine with Claude Code or Cursor?

Yes. Augment offers the Context Engine as an MCP server, either locally through the Auggie CLI or remotely through the Augment GitHub App, and publishes guides for Claude Code, OpenAI Codex, Cursor, GitHub Copilot, Zed and other clients. MCP queries are billed under the same token-based pricing as Augment’s other products. Our Claude Code and Cursor reviews cover how those tools work on their own.

Augment Code vs GitHub Copilot: which should I choose?

They target different needs. Augment centers on deep codebase context through its Context Engine, with agents in the IDE, the terminal and the cloud, while GitHub Copilot offers unlimited completions on paid plans and GitHub-native agents across many IDEs. In our assessment, Augment is the stronger candidate when multi-repo context is the bottleneck, and Copilot is the simpler choice if you want autocomplete and tight GitHub integration on a self-serve plan.

Augment Code Review (2026): Context Engine, Agents and Token Pricing