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    Augment Code

    Agentic software development at organizational scale

    Augment Code

    Agentic software development at organizational scale

    Tool Introduction

    Augment Inc., also styled Augment Computing, was founded in 2022 by Igor Ostrovsky, former chief architect at Pure Storage, and Guy Gur-Ari, an AI researcher previously at Google. The Palo Alto, California company is led by CEO Scott Dietzen, with Dion Almaer as VP of Product. Augment emerged from stealth in April 2024 alongside a $227 million Series B that brought total funding to $252 million at a $977 million post-money valuation, backed by Sutter Hill Ventures, Index Ventures, Innovation Endeavors, Lightspeed Venture Partners, and Meritech Capital. Cosmos launched in public preview on May 4, 2026.

    Demo Available?

    Yes. The homepage and pricing page carry persistent Book demo and Talk to Sales calls-to-action, and the Enterprise plan is gated behind Contact sales.

    Tool's Accuracy

    Augment Code's Auggie coding agent is measured on its ability to autonomously resolve real-world software engineering issues in large codebases, where a correct result is a code change that passes the task's hidden test suite. On Scale AI's SWE-bench Pro benchmark of 731 problems, using Claude Opus 4.5 through an identical evaluation harness, Auggie scored 51.80%, per Augment's blog post published February 4, 2026. Under the same harness and base model:

    • Auggie: 51.80%
    • Cursor: 50.21%
    • Claude Code: 49.75%
    • OpenAI Codex (GPT-5.2-codex): 46.47%
    • Scale AI SWE-Agent baseline: 45.89%

    Augment attributes its edge of 15 to 17 more problems solved out of 731 to its semantic Context Engine's codebase-structure indexing rather than text or keyword retrieval.

    Aggregate Rating

    3.6/5 stars (based on 386+ verified ratings across the internet)

    Detailed Overview

    What Augment Code Does

    Augment Code helps engineering teams produce, edit, and review code that fits an existing repository rather than generic snippets. Agents and inline completions read how the real project is organized, so suggestions match its conventions. Developers work through chat and agents inside their editor or terminal, and automated review runs on pull requests before a merge.

    Who Augment Code Is For

    The platform suits software engineers at established companies working in large, complex codebases, from individual contributors using the editor agent to engineering managers watching review throughput. It also fits centralized AI and developer-experience teams at very large organizations that need custom identity controls and self-hosted execution. Documented users range from teams of about 30 engineers up to organizations with tens of thousands of developers.

    Top Differentiators

    Augment separates individual AI adoption from organization-wide coordination, using Cosmos to run agents across the full software development lifecycle as a shared system. The Business plan charges a flat $100 per month for up to 50 pooled seats rather than strictly per seat. Augment states it was the first AI coding assistant to earn ISO/IEC 42001 certification, positioning it for enterprise security and procurement review.

    Founding Year

    2022

    Target Industry

    B2B, Enterprise, Mid-Market, Software Engineering, IT Services, Fintech, Payments, Cybersecurity, Healthcare, Legal Tech, Automotive SaaS, Government Relations Software

    Available Integrations
    • GitHub: the agent pulls context from a GitHub Issue, makes the code changes, and opens a pull request in the editor; requires OAuth app authorization.
    • Linear: read, update, comment on, and resolve issues across the full lifecycle from inside the IDE; requires Linear OAuth approval.
    • Jira: work existing tickets, create new ones, and update issues; requires OAuth access configured through Atlassian.
    • Confluence: query and update documentation pages directly from the IDE; requires an OAuth 2 setup granting read and write access.
    • Notion: search and retrieve docs, meeting notes, and specs; the integration is currently READ-ONLY, a stated limitation.
    • Sentry: search issues, errors, traces, and logs and generate root-cause analyses with AI-drafted fixes; a newly launched Enhanced Native integration.
    • Stripe: access payment events, refunds, subscription data, and tokenization via remote or local MCP server; OAuth MCP support is in public preview.
    • Glean: query internal company knowledge through enterprise search; marked Early Access and available only to enterprise customers with administrator access.
    • Slack: join threads with full codebase context and add to a workspace in one click on any Slack plan.
    • CircleCI: build logs, test insights, and flaky-test detection via the mcp-server-circleci one-click Easy MCP connection.
    • MongoDB: data exploration, database management, and context-aware code generation via the official MongoDB MCP Server.
    • Redis: keyspace introspection, TTL audits, and migration helpers via the open-source mcp-redis server.

    The Augment Code pricing page shows two plans with no free or community tier.

    Business

    Marked Popular, the Business plan is $100 per month flat for the whole team, up to 50 seats with $100 of usage included and no per-seat charge. Included usage is pooled across the team and spans LLM tokens, the Context Engine, and Cosmos compute. LLM tokens are billed at the model provider's public API list price plus a flat 40% service fee, and Cosmos compute is billed at $0.19 per hour in 5-minute increments. Once the included $100 is consumed, billing continues automatically pay-as-you-go at the same rates, and usage top-ups are valid 12 months after purchase. The plan includes Cosmos, Auggie CLI access, MCP and Native Tools, Context Engine, Chat and Agents, Usage Analytics, standard compute, 50 concurrent sessions, SOC 2 Type II compliance, and no AI training on customer data.

    Sample per-million-token rates in the docs: Claude Haiku 4.5 $1 input / $5 output, Claude Sonnet 4.6 $3 / $15, Claude Opus 4.7 $5 / $25, GPT-5.4 $2.50 / $15, and Kimi K2.6 $0.95 / $4.

    Enterprise

    Enterprise is custom-priced for teams with high volume, security, or support needs. It adds unlimited users, custom usage and top-up arrangements, volume-based annual discounts, SSO/OIDC/SCIM support, SOC 2 and security reports, CMEK and ISO 42001 compliance, dedicated support, custom and multi-region compute, and unlimited concurrent sessions.

    A separate Code Review Enterprise add-on tier adds advanced analytics, user allowlists, MCP configuration, multi-org support, and unlimited seats and repos.


    Pricing last verified: 07/04/2026
    Disclaimer: Pricing is subject to change. Please confirm current pricing on the vendor site.
    Features & Specs
    • IDE support: Visual Studio Code, JetBrains IDEs, and Vim/Neovim, each with dedicated installation docs.
    • Auggie CLI: terminal agent with interactive mode, custom slash commands, hooks, task management, a prompt enhancer, tool permissions, and ACP mode for Zed, Neovim, and Emacs.
    • SDKs and APIs: official Python SDK, TypeScript SDK, a separate Context Engine SDK, and an Analytics API for usage and billing data.
    • Prism routing: Prism (Claude + Gemini) across Claude Opus 4.7, Claude Sonnet 4.6, and Gemini 3.0 Flash; Prism (GPT + Kimi) across GPT-5.5, GPT-5.4, and Kimi K2.6.
    • Supported models: Claude Fable 5, Haiku 4.5, Opus 4.5/4.6/4.7, Sonnet 4.5/4.6; Gemini 3.1 Pro; GPT-5.1/5.2/5.4/5.5; and Kimi K2.6.
    • Code Review: analytics dashboard, auto-generated PR descriptions, configurable review styles and guidelines, cross-repo context, multi-organization support, and GitHub Enterprise Server integration.
    • Cosmos Experts: pre-built templates including PR Author, Deep Reviewer, Pair Reviewer, Risk Analyzer, Verifier, Project Builder, Ticket Dispatcher, Feedback Triager, and Incident Investigator.
    • Cosmos platform: configurable triggers from GitHub, Linear, Slack, webhooks, and schedules, an MCP registry, secrets management, Spaces, and cloud or self-hosted daemon execution.
    Security & Compliance

    Augment Code states it never trains on customer proprietary data and follows data-minimization principles, backed by an indemnification clause in its terms. Its architecture is described as a non-extractable API designed to prevent data exfiltration and cross-tenant leakage, paired with a proprietary Proof-of-Possession authorization scheme that restricts code completions to locally possessed code. Enterprise customers can hold Customer Managed Keys (CMK/CMEK), and revoking access means Augment cannot read the data.

    Certifications and attestations:

    • SOC 2 Type II: first achieved July 2024.
    • ISO/IEC 42001: certified May 29, 2025 via Coalfire, covering its Artificial Intelligence Management System; Augment states it was the first AI coding assistant to be certified.
    • GDPR: compliant, with a Data Processing Agreement available.
    • CCPA: compliant.
    • HIPAA: compliant, with a Business Associate Agreement (BAA) available on request.

    The Enterprise plan documents custom SSO, OIDC, and SCIM support, and both plans state no AI training is allowed on customer code. Augment publishes a Security and Privacy document and maintains a trust center for detailed data-retention schedules.

    Industry Use-Cases

    Onboarding engineers into a multi-million-line codebase

    New engineers at Pure Storage faced a codebase mixing 2.1 million lines of C++ with Python and Go. Working through the agent and chat, they accepted over 130,000 code completions and implemented 77% of chat-driven suggestions. Onboarding time, per the company's published case studies, fell from months to weeks.

    Reducing back-and-forth on a cloud platform team

    MongoDB's Atlas API Platform team of about 30 engineers supports hundreds more across the cloud ecosystem. The team built an architecture-validation agent, a performance-analysis agent that processes hundreds of megabytes of CI/CD logs overnight, and a dynamic-guidelines engine. Its own framing was that the biggest productivity gain came from reducing back-and-forth rather than writing code faster.

    Standardizing AI across the software lifecycle

    With more than 1,300 engineers, Tekion built a Persona-Driven AI Framework of specialized agents spanning requirements, architecture, development, testing, and code review. The case study reports 50 to 100% productivity gains, thousands of automated pull-request reviews per month, and time-to-first-review dropping from days to minutes. Within three months of rollout the framework became core to Tekion's software development lifecycle.

    Accelerating a code migration

    Codem Inc. applied Augment's context-aware AI to a migration effort. Per the company's published case study, migration time was cut by more than 50%.

    Evaluating adoption during a pilot

    Quorum, a public-affairs software company, ran a 30-day evaluation and remained early in measuring quantitative gains. Developers praised suggestion speed and quality against GitHub Copilot, though the case study reports no headline percentage for Quorum specifically.

    Tool's Alternatives

    GitHub Copilot pairs inline and chat assistance with an agent mode that assigns tasks to agents, including Claude and OpenAI Codex models, and reaches the widest editor footprint across VS Code, Visual Studio, JetBrains, Neovim, Eclipse, Xcode, and mobile. Its free tier caps completions at 2,000 per month, and paid chat and agent usage is metered rather than fully unlimited. Its differentiator is native, first-party depth of GitHub platform integration across issues, pull requests, and Actions.

    Cursor is an agent-centric editor with an autonomy slider running from tab completion up to fully autonomous agents that build, test, and demo features end to end, plus scheduled agents and multi-model choice across OpenAI, Anthropic, Gemini, and xAI. Its marketing pages state no explicit failure modes or autonomy ceilings, which is itself a gap. Its differentiator is fine-grained, user-controlled autonomy inside a purpose-built editor rather than an add-on to an existing IDE.

    Devin, from Cognition, is an autonomous AI software engineer offered via Cloud, Desktop, CLI, Review, and a Windows VM, with strengths in legacy-code migration and parallel multi-repo projects, integrating with more than 50 external tools. Its own site notes migration workflows carry a small, fixed upfront cost to teach Devin how to approach sub-tasks. Its differentiator is framing the product as a named engineer that owns end-to-end, multi-week projects rather than a per-task assistant.

    Amp, from Sourcegraph, is a CLI-first coding agent emphasizing remote agent execution on configurable Orbs, very large conversation threads, and an extensible plugin system for events, tools, and policy. Its official page does not enumerate specific technical limitations or unsupported use cases, which is the disclosed gap. Its differentiator is a lean, frontier-model-first philosophy built around a CLI and thread model rather than a full IDE.

    Frequently Asked Questions

    What does Augment Code's Business plan cost?

    The Business plan is $100 per month flat for up to 50 pooled seats, with $100 of usage included and no per-seat charge. Usage then continues pay-as-you-go at the same rates.

    Which certifications does Augment Code hold?

    Augment holds SOC 2 Type II, first achieved July 2024, and ISO/IEC 42001, certified May 29, 2025 via Coalfire. It also supports GDPR, CCPA, and HIPAA with a BAA available on request.

    What is the Context Engine?

    The Context Engine indexes a codebase's structure rather than performing flat retrieval, grounding agents and completions in the actual repository. Augment reports it reduces token usage by about 33%.

    What is Cosmos and when did it launch?

    Cosmos is Augment's orchestration layer, launched in public preview on May 4, 2026. It runs pre-built Experts such as PR Author and Deep Reviewer, triggered from GitHub, Linear, Slack, webhooks, and schedules.

    Which editors and interfaces does Augment support?

    Augment runs in Visual Studio Code, JetBrains IDEs, and Vim/Neovim, plus the Auggie command-line agent with ACP mode for Zed, Neovim, and Emacs, and Python and TypeScript SDKs.

    How does Prism model routing work?

    Prism routes automatically among models. Prism (Claude + Gemini) spans Claude Opus 4.7, Claude Sonnet 4.6, and Gemini 3.0 Flash; Prism (GPT + Kimi) spans GPT-5.5, GPT-5.4, and Kimi K2.6.

    How did Augment score on SWE-bench Pro?

    Auggie scored 51.80% on Scale AI's SWE-bench Pro benchmark of 731 problems using Claude Opus 4.5, ahead of Cursor at 50.21% and Claude Code at 49.75% under the same harness.

    Is there a free trial or free plan?

    The current pricing page shows no free or community tier, only Business and Enterprise. An FAQ item references trial or beta access with community support, though duration and credit terms are not stated.

    Who is Augment Code built for?

    Augment targets software engineering teams at established companies, from individual contributors to platform and AI teams at large organizations. Documented users range from about 30 engineers to DXC's 50,000 developers.

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