AI Coding Agents · Reviewed 18 Oct 2026

Augment Code

Agentic software development platform for enterprise-scale engineering teams.

from $20 · augmentcode.com ↗

Paid against free › AI Coding Agents › Augment Code

Augment Code at a glance

SEO analysis

Collected Oct 18, 2026

augmentcode.com: an estimated 262,808 total monthly visits and about 135,315 monthly organic visits across 3,997 ranking keywords. Scout crawled 15 pages and measured a technical health score of 97/100.

Overview

01

Summary

The useful answer before the supporting detail.

Augment Code is an agentic software development platform that runs AI agents across the software development lifecycle, from code review to incident response S75. Engineering teams use it to automate repetitive SDLC work, such as reviewing pull requests, triaging security alerts, and investigating incidents, freeing humans for higher-level governance S1 S6. Its practical value lies in connecting agents into always-on workflows that run in the cloud, with versioned configuration and enterprise controls S6 S1.

02

Product identity and positioning

Name, category, positioning, audience, and first-party claims.

  • Identity: Augment Code is an agentic software development platform, with Cosmos as its orchestration layer and Auggie CLI as its terminal agent S75 S1.
  • Core purpose: It solves the problem of AI agents working in isolation, failing to convert individual productivity into delivery outcomes S143.
  • Intended users: Engineering teams and leaders at enterprise-scale companies seeking to automate SDLC workflows S6 S75.
  • Product scope: It is a platform, not a single app, comprising Cosmos, Auggie CLI, and Cloud Agents S75 S1 S17.
  • Positioning: The vendor positions it as a "software factory" that runs agents at scale, with humans governing outcomes S75 S143.
  • Claimed distinction: It claims to provide a coordination layer with shared context, memory, and governance across the SDLC S143.
03

Use cases and audiences

Who the product serves and the jobs it is designed to handle.

AudiencePractical use case
Engineering teamsAutomate code review for every pull request, with agents posting inline findings S6 S75.
DevOps teamsAutomate incident response, from alert to reviewed fix, with on-call paging and runbooks S6.
Security teamsTriage security vulnerabilities from Dependabot and Snyk alerts, filing prioritized issues S6.
Engineering leadersBuild an always-on software delivery system that moves work from spec to verification S75.
Product teamsConvert feature tickets into coordinated pull requests, with agents writing and reviewing changes S6.

Features

09

Features and capabilities

Core functions and evidence-backed product capabilities.

CapabilityWhat it does
Code reviewReviews every PR against team standards, posts inline comments, and requests changes when tests are missing S6.
Incident managementInvestigates alerts, drafts timelines, and pages on-call engineers with runbooks S6.
Security remediationMonitors Dependabot and Snyk alerts, scores exploitability, and files prioritized issues S6.
Ticket-to-PR automationAssigns a ticket, the agent investigates, writes the change, and exercises it end to end S6.
Dependency updatesGroups safe minor/patch bumps into a single PR per repo, runs tests, and merges when CI is green S6.
Versioned configurationDefines Experts, environments, and workflows as versioned YAML, with diffs and export/apply S6.
Cloud executionRuns agents in managed cloud sandboxes or your own machines, with work continuing when you close your laptop S75 S17.
Service accountsCreates service accounts with dedicated API tokens for automation, decoupled from individual users S1.
10

Integrations and ecosystem

Connected products, exports, APIs, and workflow compatibility.

Integration or interfaceTypeWhat it enables
GitHubIntegrationOfficial GitHub Actions to add Auggie to workflows, and native triggers for GitHub events S1 S75.
GitLabIntegrationNative triggers for GitLab events S75.
SlackIntegrationNative triggers for Slack, and pages on-call engineers via Slack during incidents S75 S6.
LinearIntegrationNative triggers for Linear S75.
JiraIntegrationNative triggers for Jira S75.
MCP-compatible toolsIntegrationConnect to any MCP-compatible tool S1.
Agent Client Protocol (ACP)APIOpen standard for connecting AI agents to editors and tools S1.
WebhooksAPITyped webhooks for the rest of your stack S75.

Pricing

11

Pricing and plans

Published plans, free access, trials, credits, and pricing limitations.

Plan or offerVerified price and billingIncludedLimits
Standard$20 per month, flat, up to 50 seats S160$20 of usage per month across LLM, Context Engine & compute S160Top-ups pay-as-you-go S160
Business$100 per month, flat, up to 50 seats S160$100 of usage per month across LLM, Context Engine & compute S160Top-ups pay-as-you-go S160
EnterpriseCustom pricing, annual volume discounts S160Bespoke usage limits S160SSO, OIDC, SCIM; CMEK S160

Competition

12

Competitive landscape

Domains competing for the same organic search demand.

Sampled competitors

CompetitorFirst-page appearancesSampled queriesAverage positionQueries observed
fonzi.ai111ai assistant for developers
ibm.com111agent orchestration
slashdot.org112ai assistant for developers
github.com112agent orchestration
wavebrowser.co113ai assistant for developers
databricks.com113agent orchestration
openalternative.co114ai assistant for developers
medium.com114agent orchestration
hyscaler.com115ai assistant for developers
openai.github.io115agent orchestration

Website intelligence — Collected evidence

Customers, testimonials, and first-party review claims

No supporting public-page evidence was collected for this category.

Independent review sources discovered

No links to supported independent review platforms were discovered on the collected pages.

14

AI visibility

Measured ChatGPT and Google AI mentions with cited sources.

AI-assistant referral traffic

  • Estimated current generative-AI referral share: 2.2%
MonthSource
—All AI assistants
—All AI assistants
—All AI assistants

Website intelligence — Collected evidence

Site-stated AI capabilities

Page typeEvidenceSource
featuresIn Augment's own on-call operation, the Incident Investigator reduced human investigation work by 81.3% and cut median time to first RCA from 30.1 minutes to 6.2 minutes. Those results came from a workflow built for our systems. Advisor makes the same operating pattern accessible without asking every company to recreate the machinery.https://www.augmentcode.com/blog/we-think-the-fde-should-be-part-of-the-product-so-we-built-one-in
featuresTry CosmosTalk to the team →https://www.augmentcode.com/product/cloud-agents
featuresTry CosmosTalk to the team →https://www.augmentcode.com/product/cosmos
pricing$20/mo of usage across LLM, Context Engine & computehttps://www.augmentcode.com/pricing
pricing$100/mo of usage across LLM, Context Engine & computehttps://www.augmentcode.com/pricing

These are first-party product claims, not independent measurements of AI-search visibility.

15

Marketing opportunities

Actions calculated directly from the collected evidence.

OpportunityRecommended actionEvidence
Competitor gap1 first-page appearances across ai assistant for developers

Website intelligence — Collected evidence

Website evidence gaps

  • integrations: no usable public page was collected; verify whether the site publishes this evidence.
  • customers: no usable public page was collected; verify whether the site publishes this evidence.
  • reviews: no usable public page was collected; verify whether the site publishes this evidence.
  • changes: no usable public page was collected; verify whether the site publishes this evidence.
  • identity: no usable public page was collected; verify whether the site publishes this evidence.
  • technical: no usable public page was collected; verify whether the site publishes this evidence.

Trust and proof

16

Customers, proof, and reviews

Published proof, customer signals, and review evidence.

Independent reviews

PlatformPageHow it was foundNote
FeaturedCustomers64 Augment Code Customer Reviews & References / FeaturedCustomersGrounded web searchRead 20 Augment Code reviews and testimonials from customers, explore 39 case studies and customer success stories, and watch 5 customer videos to see why companies chose Augment Code as their Code Completion Software - 20 Testimonials View - 39 Case Studies View - 5 Customer Videos View ... Customer Rating Review Score based on 658 reference ratings 4.8/5.0 (658) ... "Augment Code’s seamless integration and intuitive suggestions have led to a remarkable increase in productivity and team happine
augmentcode.comCustomer Stories & Case Studies / Augment CodeGrounded web search> The CLI changed everything. Being able to call agents directly from my existing workflows — CI/CD, validation, architecture reviews — that’s what made Augment's value real for me and the engineers in my team.

Customer proof

Proof typeNamed customer or sourceEvidence
Case studyMarvincustomer case study — > “We built a large internal app—over 100,000 lines of code. (Intercom scales multi-agent engineering workflows with Augment Code / Augment Code)
Case studyHefnercustomer case study — Seeking a more intelligent and context-aware AI coding assistant, Pure Storage selected Augment for its ability to deeply understand C++ and enhance developer workflows: ... (Pure Storage tackles complex 2.1M line C++ codebase with Augment Code / Augment Code)

Independent mentions

External links were grounded in one live web search. Search snippets are leads, not independently scraped page content; rejected links remain available in Review evidence.

17

Company, security, and trust

Ownership, policies, security signals, and public trust evidence.

SignalFindingSource
Company and ownershipNo. All paid plans exclude any AI training on your data as part of our Commercial Terms of Service.source
Contact and supportNot published on the collected pages.—
Legal and privacyNo. All paid plans exclude any AI training on your data as part of our Commercial Terms of Service.source
Security and complianceData residency controlssource
Uptime and status pagePut cloud agents on code reviews, tickets, security fixes, and incident investigation. Review their output at the checkpoints you choose.source
Domain registered2022-06-16—
Domain expires2027-06-16—

Not found on the collected pages: contact and support. This only means Scout did not find it on the pages it read; it says nothing about the company itself.

18

Documentation and product updates

Help resources, product guidance, and visible changes over time.

Resource or updateTypeWhat is availableDate or freshness
What is AIDLC? The AI Development Lifecycle Explained / Augment CodeGuideAIDLC is the operating model where AI agents execute software work and humans govern outcomes. Learn how it differs from traditional SDLC. (source)Not dated
CodeRabbit Pricing 2026: What It Costs (and When an Alternative Makes Sense) / Augment CodeGuideGuides, comparisons, pricing breakdowns, use cases, and how-to articles. (source)Not dated
Intent Pricing: Credits, Models & True Cost per Dev / Augment CodeGuideGuides, comparisons, pricing breakdowns, use cases, and how-to articles. (source)Not dated
Augment Code: Agentic software development at organizational scaleDocumentationDocumentation is publicly available. (source)Not dated

Not found in the collected public sources: public roadmap, changelog or release notes, status page, separate help center or knowledge base.

Technical

19

Technical and delivery signals

Delivery model, platforms, API, data ownership, reliability claims and release activity.

SignalFindingSource
Delivery model (cloud, self-hosted, desktop, browser extension)Cloud agents run in managed cloud sandboxes or your own machines S75.S75
Platforms and appsWeb-based platform with a CLI agent (Auggie) S1.S1
API and extensibility (API, SDK, webhooks, MCP, plugins)Supports MCP-compatible tools, Agent Client Protocol, and typed webhooks S1 S75.S1 S75
Data ownership and exportExperts, environments, and loops are versioned and auditable, with export/apply via CLI S6.S6
Performance and reliability claimsNot published on the collected pages.—
Release activityChangelog exists but no dates are provided S1.S1
20

Measured infrastructure

Domain, certificate, and hosting signals, measured directly.

SignalFinding
Domain registered2022-06-16 — Squarespace Domains II LLC
Domain expires2027-06-16
First archived2018-08-05 — web archive
TLS certificateLet's Encrypt, valid, expires 2027-01-14
Security headersHSTS, CSP, X-Frame-Options, Referrer-Policy
Headers not servedX-Content-Type-Options
Server headerVercel
Mail handled byaspmx.l.google.com, alt1.aspmx.l.google.com
Nameserversns-cloud-a1.googledomains.com, ns-cloud-a2.googledomains.com
21

Technical site audit

A bounded multi-page crawl with page-level issues and URLs.

Scout — Bounded technical crawl

  • Pages crawled: 15 of 15 maximum
  • Technical health: 97/100
  • Critical issues: 0
  • Warnings: 7
  • Notices: 5

Issues

SeverityIssueValueAffected URL
warningTitle length should be reviewed66https://www.augmentcode.com/
warningTitle length should be reviewed66https://www.augmentcode.com/
warningTitle length should be reviewed78https://www.augmentcode.com/pricing
noticeMeta description length should be reviewed230https://www.augmentcode.com/solutions/code-review
noticeMeta description length should be reviewed218https://www.augmentcode.com/solutions/test-coverage
noticeMeta description length should be reviewed250https://www.augmentcode.com/solutions/incident-management
noticeMeta description length should be reviewed200https://www.augmentcode.com/solutions/ticket-to-pr
noticeMeta description length should be reviewed213https://www.augmentcode.com/solutions/large-projects
warningDuplicate title in audit sample2https://www.augmentcode.com/
warningDuplicate title in audit sample2https://www.augmentcode.com/
warningDuplicate meta description in audit sample2https://www.augmentcode.com/
warningDuplicate meta description in audit sample2https://www.augmentcode.com/

Crawled pages

StatusTitleH1sWordsResponseURL
200Augment Code: Agentic software development at organizational scale1144869 mshttps://www.augmentcode.com/
200Augment Code: Agentic software development at organizational scale1144877 mshttps://www.augmentcode.com/
200Context Engine \Augment Code11244210 ms
200Augment Code Pricing - Standard, Business, and Enterprise Plans \Augment Code11305449 ms
200AI Development Blog \Augment Code1910680 ms
200Cosmos: A Programmable Software Factory \Augment Code1209351 ms
200Auggie CLI - AI Coding Agent for Your Terminal \Augment Code1990261 ms
200Cloud Agents: Run Your Cloud Agents \Augment Code12159140 ms
200Changelog \Augment Code13142614 ms
200Software Factory: AI-Powered Delivery \Augment Code12398176 ms
200Code Review \Augment Code \Augment Code1849
200Test Coverage \Augment Code \Augment Code11145
200Incident Management \Augment Code11104189 ms
200Ticket to PR \Augment Code \Augment Code11178
200Large Projects \Augment Code \Augment Code11190

This is a bounded Scout crawl. Core Web Vitals and Lighthouse scores are not claimed unless a dedicated performance audit is connected.

22

Search Console and Analytics

First-party search and behavioral data connection state.

Modeled acquisition channels

ChannelEstimated share
direct46.8%
search39.3%
search organic36.6%
search paid2.8%
social3.7%
social organic3.4%
social paid0.4%
referrals6.8%
paid referrals0.5%
mail0.7%
gen ai2.2%
affiliate0.0%
other0.0%

First-party connections

IntegrationStatusData available after connection
Google Search ConsoleNot connectedClicks, impressions, CTR, average position, queries, pages, countries, and devices
Google AnalyticsNot connectedOrganic sessions, engagement, landing pages, conversions, geography, and devices

No first-party Search Console or Analytics numbers are shown until the site owner authorizes the corresponding Google account. Scout traffic model values above are modeled estimates, not private analytics totals.

Limits and method

23

Limitations and open questions

Known constraints and missing evidence from the collected pages.

The collected pages do not name any competitors. Evidence gaps include: no named customers or independent reviews, no detailed security certifications, no uptime figures, and no release dates. Pricing details for Enterprise are not fully specified. The product's claimed outcomes (e.g., 2.5 months vs. six) are not independently verified.

24

Sources, method, and limitations

Evidence inventory, collection method, provider use, and constraints.

This report is based on 15 collected pages from augmentcode.com, including product pages, pricing, and a guide. Static and browser rendering rendering were used; external proof search was attempted but no verification requests were made. The evidence catalog includes marketing claims and feature descriptions, which are not independently verified. Pricing was taken from the authoritative pricing page.

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