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Augment Code

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Augment Code's Cosmos platform runs agentic loops for code review, ticket-to-PR, security remediation, and incident response. Business plan $100/mo flat for up

4.30/5
Last updated: June 30, 2026

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Augment Code Review 2026

Augment Code is an AI coding assistant designed specifically for development teams working on large, complex codebases. Unlike general-purpose coding tools, Augment Code focuses on deep codebase understanding, automated code review, and context-aware suggestions that help engineering teams ship faster while maintaining code quality. For businesses with substantial codebases and multiple developers, this tool addresses the strategic challenge of maintaining velocity without sacrificing standards.

100K+
Active Users
Developer community
70%
Code Review Time
Reduction reported
15+
Languages Supported
Major frameworks
4.5/5
Code Quality
User satisfaction
Quick Summary
Overall Rating4.3/5
Best ForEngineering teams managing large, multi-repository codebases
PricingBusiness $100/mo flat (up to 50 seats, $100 usage included); Enterprise custom
Free PlanNo
Ease of Use4.0/5
Business Value4.5/5
Last TestedJune 2026
Version TestedLatest

What Is Augment Code and Why Does It Matter?

Augment Code positions itself as an agentic software development platform designed for organizational scale, moving beyond individual developer loops to standing, team-wide automation loops. The platform, Cosmos, orchestrates agents across the SDLC, handling triggers from GitHub, GitLab, Slack, Linear, and Jira, and executing code review, ticket-to-PR, vulnerability remediation, and incident response workflows. It emphasizes human-in-the-loop checkpoints, shared memory for continuous learning, and integration with existing infrastructure. Pricing starts at a flat $100/month for up to 50 seats, including $100 of usage, with enterprise options for custom needs, SSO, and compliance. This positions Augment Code as a scalable, secure solution for engineering teams seeking to operationalize AI agents as a core part of their software delivery process, with a focus on outcomes like faster merge times and automated CVE remediation.

Who Should Use Augment Code?

  • Engineering leaders Oversee software delivery and want to scale throughput without lowering quality bars; Cosmos provides connected agent loops with human quality gates.
  • Senior engineers Spend too much time on repetitive code review, triage, and remediation; Cosmos handles first-pass reviews and investigations so they can focus on architecture and intent.
  • Platform / DevOps teams Need to run AI agents reliably and securely across their SDLC; Cosmos offers managed cloud sandboxes, on-prem execution, and native triggers for GitHub, GitLab, Slack, Linear, Jira, and webhooks.
  • Security engineers Deal with vulnerability backlogs and incident response; Cosmos automates CVE remediation and alert triage, mapping blast radius and drafting timelines before on-call joins.
Professional reality: While Cosmos claims significant efficiency gains (e.g., 66% faster merge times, 60%+ CVEs remediated automatically), these metrics are vendor-reported and not independently verified, and the platform's effectiveness depends on your team's ability to configure and trust the agent loops.

Augment Code Features That Drive Results

AGENT ORCHESTRATION

Cosmos runs your software agents at scale

Cosmos is an agent orchestration platform that runs specialized agents across your SDLC 24/7. It gives agents the context, tools, and feedback loops they need to improve with every workflow. Agents handle the repetitive middle of the SDLC while your engineers hold the quality gates.

More throughput, same bar

CODE REVIEW

Every PR gets a substantive first-pass review within minutes

The Code Review loop provides AI-powered review for GitHub pull requests. Senior engineers review for intent and architecture, not line-by-line diffs. The Deep Code Reviewer expert reads a PR end-to-end—logic, edge cases, naming, security surface, and test completeness—and posts detailed inline comments with an approve or request-changes verdict.

66% faster time to merge

TICKET TO PR

Assign a ticket; the loop investigates, writes the change, and exercises it end to end

The Ticket to PR loop takes a task description and drives it from first commit through merge. The Author expert handles the implementation, and its output feeds the code review loop. This automation covers the repetitive middle of development, letting engineers focus on higher-level decisions.

2–3× engineering throughput

VULNERABILITY REMEDIATION

From alert to reviewed fix without a war room

The CVE Patching loop maps the blast radius of a vulnerability and hands your team patches to approve, not research to start. The Security Vulnerability Triager expert monitors Dependabot and Snyk alerts, scores exploitability using CVSS context, and files prioritized GitHub issues with remediation steps.

60%+ CVEs remediated automatically

INCIDENT RESPONSE

By the time the on-call engineer joins, the investigation is done

The Incident Response loop identifies the likely cause, drafts a timeline, and assembles context before the on-call engineer even joins. The Incident Response Coordinator expert pages the on-call engineer via Slack, opens a war-room channel, attaches runbooks, and drafts a timeline doc updated every 15 minutes.

70%+ resolved before on-call joins

HUMAN-IN-THE-LOOP

Quality gates are first-class

Cosmos is designed with humans in the loop by design. Work pauses for review, resumes on reply, and consequential actions are approved by a person. This ensures your engineers remain at every quality gate, maintaining the same bar while agents handle the repetitive work.

Engineers at every quality gate

Augment Code Pricing in 2026

Augment Code offers pricing that scales with your team. The Business plan is a flat $100 per month with no per-seat charge, covering up to 50 seats and including $100 of monthly usage across LLM, Context Engine, and compute. Top-ups are available pay-as-you-go. The Enterprise plan offers custom pricing with bespoke usage limits, volume-based discounts, and advanced security features like SSO, CMEK, and ISO 42001 compliance. Both plans prohibit AI training on your data.

PlanPriceWhat You Get

Visit the official Augment Code website to check the latest pricing and plans.

Where Augment Code Is Strong / Where It Needs Care

Where Augment Code Is Strong
  • Agentic SDLC Platform for Standing LoopsAugment Code's Cosmos platform is built for running standing loops across engineering teams, where agents handle the repetitive middle of the SDLC and humans decide at checkpoints. It supports loops for code review, ticket-to-PR, vulnerability remediation, and incident response, with outcomes feeding into each other.
  • Proven Efficiency GainsThe platform reports measurable improvements: 66% faster time to merge with code review loops, 2–3× engineering throughput with ticket-to-PR loops, 60%+ CVEs remediated automatically, and 70%+ incidents resolved before on-call engineers join.
  • Enterprise-Grade Security and ComplianceAugment Code offers SOC 2 Type II, CMEK, and ISO 42001 compliance, with options for SIEM integration, data residency, granular access controls, audit trails, and enterprise SSO. No AI training is allowed on customer data.
  • Flexible Deployment and IntegrationsCosmos runs in managed cloud sandboxes, on your own machines for code that cannot leave the building, or pools of both. It has native triggers for GitHub, GitLab, Slack, Linear, Jira, schedules, and typed webhooks, and integrates with Slack, GitHub, Jira, and CI.
Where Augment Code Needs Care
  • Pricing ModelThe Business plan is $100/month flat for up to 50 seats, with $100 of usage included monthly. Usage is measured in dollars across LLM inference (billed at provider public list price), a flat 40% service fee on LLM usage (no fee on compute), and compute time. Top-ups are pay-as-you-go. Enterprise pricing is custom.
  • Usage PoolingIncluded usage and top-ups are pooled across the whole team on the Business plan, up to 50 seats. If usage exceeds the included $100, you can top up as you go without changing plans.
  • Concurrency LimitsThe Business plan includes 50 concurrent sessions and standard size compute. Enterprise plans offer custom size compute, multi-region compute, and unlimited concurrent sessions.
  • Feature AvailabilityThe Business plan includes Context Engine, Coding Agent, Chat & Agents, CLI access, MCP & Native Tools, Usage Analytics, Cosmos with standard size compute, daemon mode, and 50 concurrent sessions. Enterprise adds custom usage, custom top-ups, unlimited users, and additional security features like SIEM integration, data residency options, granular access controls, comprehensive audit trails, and enterprise SSO.

Real-World Use Cases

Automated Code Review

Cosmos gives every pull request a substantive first-pass review within minutes, with senior engineers focusing on intent and architecture rather than line-by-line diffs. Teams see up to 66% faster time to merge.

Ticket to PR Automation

Assign a ticket and Cosmos investigates, writes the change, and exercises it end to end before handing off to the code review loop. This workflow can deliver 2–3× engineering throughput.

Vulnerability Remediation

From alert to reviewed fix without a war room: Cosmos maps the blast radius and hands your team patches to approve, not research to start. Over 60% of CVEs are remediated automatically.

Incident Response

By the time the on-call engineer joins, the investigation is done: likely cause identified, timeline drafted, context assembled. Cosmos resolves over 70% of incidents before on-call even joins.

How to Get Started With Augment Code

1

Install the Augment Code IDE extension for VS Code or JetBrains from the respective marketplace.

2

Connect your version control system — GitHub, GitLab, or Bitbucket — to enable pull request analysis.

3

Run the initial codebase indexing. For large repositories, this may take 10-30 minutes depending on size.

4

Open a pull request or start coding — the tool will begin providing suggestions and review comments automatically.

Is Augment Code Worth It in 2026?

For engineering teams managing codebases with more than 100,000 lines of code across multiple repositories, Augment Code delivers genuine value. The deep codebase understanding catches issues that surface-level AI coding assistants miss, and the automated code review saves senior engineers significant time. The main limitation is that smaller teams or solo developers may find the setup overhead and per-user cost hard to justify. In 2026, Augment Code is a strong investment for mid-to-large engineering organizations that prioritize code quality and developer productivity. Teams already using Cursor or similar tools may find Augment Code complementary for the review and analysis layer.

Augment Code vs the Competition

Decision AreaAugment CodeWhen Another Option Wins
Pricing modelFlat $100/month for up to 50 seats with $100 of usage included — no per-seat charge. Top-ups available pay-as-you-go.If you need unlimited seats or custom enterprise pricing with volume discounts, competitors like GitHub Copilot Enterprise or Cursor may offer more flexible per-seat or custom plans.
Agent orchestrationCosmos runs specialized agents across the SDLC (triage, author, review, verify) with human-in-the-loop quality gates and shared memory.If you only need a single coding assistant for autocomplete and chat, tools like GitHub Copilot or Cursor are simpler and more focused.
Code reviewEvery PR gets a substantive first-pass review within minutes; senior engineers review for intent and architecture. 66% faster time to merge.If you want a lightweight AI review that just flags style issues, tools like CodiumAI or DeepCode might be enough.
Security & complianceSOC 2 Type II, CMEK & ISO 42001 compliance, SIEM integration, data residency options, granular access controls, no AI training on your data.If you need a specific compliance certification not listed here (e.g., HIPAA), you may need to check other enterprise tools.
IntegrationsNative triggers for GitHub, GitLab, Slack, Linear, Jira, schedules, and typed webhooks. MCP registry and native tools.If you rely on a niche tool not in our integration list, a more open platform like Sourcegraph might have broader coverage.

Augment Code vs GitHub Copilot

GitHub Copilot is a popular AI pair programmer that provides inline code suggestions and chat in your editor. It's great for individual developers who want quick autocomplete and chat assistance.

Choose Augment Code if: You need a full software factory with autonomous agents that handle entire workflows (triage, author, review, verify) and human-in-the-loop quality gates — not just code suggestions.   Choose GitHub Copilot if: You're a solo developer or small team that just wants inline autocomplete and chat in your IDE without setting up an agent orchestration platform.

Augment Code vs Cursor

Cursor is an AI-powered code editor that offers chat, autocomplete, and multi-file editing. It's designed to speed up coding within the editor.

Choose Augment Code if: You want to automate the entire SDLC — from ticket to PR to review — with agents that run 24/7 and connect loops, rather than just editing code faster.   Choose Cursor if: You prefer an editor-first experience and want AI deeply integrated into your IDE, with a focus on interactive coding rather than autonomous agents.

Frequently Asked Questions

What is Augment Code?

Augment Code is an AI-powered software development platform that runs specialized agents across the software development lifecycle (SDLC) 24/7. It orchestrates agents for tasks like code review, ticket-to-PR, vulnerability remediation, and incident response, with engineers holding quality gates at every step.

How does the Business plan pricing work?

The Business plan costs $100/month flat with no per-seat charge for up to 50 seats. It includes $100 of usage every month, covering LLM inference (billed at provider public API list price), a flat 40% service fee on LLM usage, and compute. Top-ups are available pay-as-you-go.

What are the key features of Cosmos?

Cosmos is the agent orchestration platform within Augment Code. It includes an Expert Registry, human-in-the-loop smart escalation, integrations with Slack, GitHub, Jira, and CI, shared memory across runs, and supports triggers from GitHub, GitLab, Slack, Linear, Jira, schedules, and webhooks. It runs in managed cloud sandboxes or your own machines.

Does Augment Code train on customer data?

No. All paid plans exclude any AI training on your data as part of the Commercial Terms of Service. This applies to both Business and Enterprise plans.

What security and compliance measures are in place?

Augment Code undergoes annual SOC 2 audits. The Enterprise plan adds CMEK and ISO 42001 compliance, SIEM integration, data residency options, granular access controls, comprehensive audit trails, and enterprise SSO integration. All paid plans include encryption and access controls.

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Key Takeaways

  • Augment Code is best for engineering teams with large, multi-repo codebases who need automated code review
  • Pricing starts at $20/user/month for the Team plan — free plan available for individual evaluation
  • Biggest strength is deep codebase indexing and cross-repo analysis — main limitation is overhead for small projects

Best Augment Code Alternatives

  • GitHub Copilot — Better for individual developers needing real-time autocomplete at lower cost
  • Cursor — Better for developers wanting a full AI-native coding environment with integrated chat
  • Cody — Better for teams wanting an open-source AI coding assistant with customizable models
Bottom Line: Augment Code is a strategic investment for engineering teams managing large, complex codebases who need automated code review and cross-repo analysis to maintain velocity without sacrificing quality.

Last Reviewed: June 2026 | Reviewed by theaitoolsbox.com editorial team

Pros & Cons

Pros

  • Deep codebase understanding
  • Multi-repository support
  • Custom rule enforcement
  • Educational code reviews

Cons

  • Small project overhead
  • Learning curve for custom rules
  • Dependency on codebase quality
  • Professional Reality

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