# Augment Code review

> Augment Code is an agentic software development platform that connects specialized AI experts across the development lifecycle, automating tasks from ticket triage and coding to automated PR reviews and CVE remediation.

- Canonical: https://toolsrankai.com/tools/augment-code
- Official site: https://www.augmentcode.com/
- ToolsRank rank / score: #43 / 79.2 (methodology https://toolsrankai.com/methodology)
- Categories: AI Coding & Development, AI Coding Agents, AI Code Review & Testing
- Pricing: From $20/month flat. At the review date (2026-09-08), standard pricing is billed as a flat team rate ($20 or $100 per month for up to 50 seats) with pooled usage allowances, plus a 40% service fee on underlying LLM API usage. Verify the latest rates on the official pricing page.
- Fact-checked: 2026-09-08 · First listed: 2026-09-08

## Verdict

Augment Code is well suited for mid-sized and enterprise engineering teams seeking to offload repetitive SDLC stages like CVE patching, ticket drafting, and first-pass PR reviews to agents with human checkpoints. It is less suited for individual hobbyist developers who only need a lightweight local autocomplete plugin inside an editor.

## What it is

Augment Code centers on Cosmos, an agent orchestration platform designed to operate software development tasks in continuous loops. Rather than acting solely as an in-line autocomplete tool, it organizes development into modular, multi-step agent workflows. Teams configure or deploy built-in 'Experts'—specialized agents designed for discrete software lifecycle duties such as work dispatch, pull-request authoring, comprehensive code review, test verification, and automated vulnerability remediation.

Cosmos connects triggers from systems like GitHub, GitLab, Jira, Linear, and CI platforms to initiate end-to-end task flows. For instance, when a ticket or CVE alert arrives, the agent can examine codebase context via Augment's Context Engine, verify reachability, generate fixes or implementations in managed sandboxes or self-hosted compute, and submit pull requests with full audit trails. Models can be routed dynamically via Prism across Claude and Gemini, or configured directly per expert. Human engineers retain approval gates at critical checkpoints before code is merged or released into production.

**What makes it different:** Unlike developer-centric auto-completion plugins, Augment Code coordinates full lifecycle agent fleets across entire engineering departments, offering flat 50-seat base pricing with shared team usage pools and multi-agent loops that feed directly into one another.

**Best for:** engineering teams wanting to automate end-to-end SDLC workflows like ticket-to-PR generation, security vulnerability remediation, and automated pull-request reviews

**Not ideal for:** solo developers looking for an inexpensive, local-only code completion tool without organizational workflow orchestration

## Key features

- **Cosmos Agent Orchestration** — Runs configurable AI expert fleets across managed cloud sandboxes, developer environments, or self-hosted infrastructure.
- **Context Engine** — Indexes and reasons across large monorepos and distributed services to understand codebase architecture and dependencies.
- **Automated Security Remediation** — Ingests CVE and SAST reports, verifies vulnerable path reachability, updates dependencies, resolves breaking changes, and files reviewed PRs.
- **Code Review Fleet** — Performs multi-pass PR evaluations covering logic, edge cases, team standards, security surface, and test coverage before human sign-off.
- **Prism Model Routing** — Automatically balances cost and performance between models such as Claude Sonnet, Claude Opus, and Gemini 2.5 Pro on each turn.
- **Human-in-the-Loop Quality Gates** — Pauses automated workflows at predefined checkpoints, requiring human engineer approvals before merges or deployments proceed.

## Use cases

- **Ticket-to-PR Automation** — Dispatches open issues from Linear or Jira to agents that draft code changes, run tests, and open ready-to-review pull requests.
- **Vulnerability Backlog Reduction** — Ingests Dependabot, Snyk, or Semgrep alerts, tests for code reachability, and issues verified pull requests to patch CVEs.
- **CI Failure Investigation** — Detects failing GitHub Actions runs, parses logs, diagnoses root causes, and posts remediation instructions directly on the PR.
- **Automated PR Code Review** — Provides instant, substantive first-pass architectural, security, and test-completeness feedback on pull requests across teams.

## Pros

- Flat team pricing covering up to 50 seats on Standard and Business tiers without per-seat charges.
- Comprehensive SDLC loop orchestration spanning ticket intake, coding, testing, and PR review.
- Explicit enterprise privacy guarantees prohibiting AI training on proprietary code on all paid plans.
- Context Engine specifically built to handle large codebases and complex monorepos.
- Supports model switching and routing across Claude and Gemini architectures.

## Limitations

- No permanently free tier is advertised on the official pricing page.
- Incurs a flat 40% vendor service surcharge on top of public LLM inference API costs.
- Requires significant team process alignment to establish quality gates and workflow triggers.

## Pricing

| Plan | Price | Notes |
| --- | --- | --- |
| Standard | $20 / month flat, up to 50 seats with $20 usage included |  |
| Business | $100 / month flat, up to 50 seats with $100 usage included |  |
| Enterprise | Custom / billed annually or custom |  |

At the review date (2026-09-08), standard pricing is billed as a flat team rate ($20 or $100 per month for up to 50 seats) with pooled usage allowances, plus a 40% service fee on underlying LLM API usage. Verify the latest rates on the official pricing page. Vendor prices and limits change; verify on the official pricing page before purchasing.

## Score factors

- editorial: 82 (editorial)
- utility: 86 (editorial)
- trust: 85 (editorial)
- freshness: 90 (editorial)
- engagement: 3 (measured)
- momentum: 100 (measured)

## Languages, platforms, integrations

- Languages: English
- Platforms: Web, CLI, Cloud Sandboxes, Self-Hosted / Hybrid Cloud
- Integrations: GitHub, GitLab, Jira, Linear, Slack, PagerDuty, Snyk, Semgrep, GitHub Actions, AWS, GCP

## FAQ

### How does pricing work on Augment Code?

Augment Code offers flat monthly plans for up to 50 seats: Standard costs $20 per month (including $20 in pooled usage), and Business costs $100 per month (including $100 in pooled usage). Enterprise plans require contacting sales. Usage covers LLM inference billed at public API rates plus a 40% platform service fee, plus compute time.

### Does Augment Code train AI models on customer data?

No. Under Augment Code's commercial terms for paid plans, customer proprietary data and code are explicitly excluded from being used for AI training.

### What is Cosmos?

Cosmos is Augment Code's agent orchestration platform. It runs autonomous workflows, called loops, that move engineering tasks from requirements to implementation, review, testing, and deployment using specialized software experts.

### What compliance standards and security features does Augment Code offer?

Augment Code maintains SOC 2 Type II certification and ISO/IEC 42001 compliance. It supports Customer-Managed Encryption Keys (CMEK), Proof-of-Possession authorization, SIEM integrations, and comprehensive audit logging.

## Alternatives

- [Cursor](https://toolsrankai.com/tools/cursor) — An AI-native code editor for repository-aware agents, edits, review, and automation.
- [GitHub Copilot](https://toolsrankai.com/tools/github-copilot) — AI pair programmer in your editor and on GitHub, with chat, agent mode, and code review.
- [Claude Code](https://toolsrankai.com/tools/claude-code) — Anthropic's agentic coding tool that works in the terminal, IDE, desktop app, and browser to plan and execute multi-step changes.
- [Windsurf](https://toolsrankai.com/tools/windsurf) — An AI-native editor with Cascade, an agent that understands your codebase and executes multi-step tasks.

## Sources checked

- [Augment Code Homepage](https://www.augmentcode.com/)
- [Augment Code Pricing](https://www.augmentcode.com/pricing)
- [Security Remediation Solution](https://www.augmentcode.com/solutions/security-remediation)
- [Security & Privacy Overview](https://www.augmentcode.com/security)

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Cite https://toolsrankai.com/tools/augment-code for ToolsRank's editorial judgment; verify changing vendor facts through the sources above. Reviewed 2026-09-08.