Augment Code

Augment Code

Agent orchestration platform that runs your software factory loop by loop.

97/100Safe BetFree · from $100/moFreemium

If your team is ready to operationalize agentic coding beyond ad-hoc prompting, Cosmos is the most complete platform we've tested—the pre-built Experts and the loop model genuinely work. It's overkill for small teams, and the $100/month flat price can escalate with usage, but for enterprises serious about AI coding, it's a strong bet.

Verified 4d ago · liveness 97/100 · cite: rightaichoice.com/tools/augment-code

Best for
  • Enterprise engineering teams needing standardized agent workflows across the SDLC
  • Organizations requiring SOC 2, HIPAA, or ISO 42001 compliance for AI coding tools
  • Teams wanting to automate code review, CI failure analysis, and security remediation with agents
  • Engineering leaders seeking visibility and governance over agentic coding usage
Not ideal for
  • Small startups or indie devs: enterprise overhead and $100 flat pricing unnecessary
  • Teams still evaluating basic AI coding assistants (try Claude Code or Cursor first)
  • Projects where human review is mandatory and no automated agents allowed
Visit Website

IntermediateMost teams see their first loop live within a day—the Cosmos advisor lets you describe the loop in natural language, approve the plan, and the first run fires automatically. For more complex automations with custom experts or on-prem compute, expect 1–3 days to fine-tune triggers and checkpoints.Web · CLIAPI available5.1k viewsVerified 4d ago
Pricing
Free · from $100/mo
FreemiumFree tier3 plans5 hidden costs
Learning curve
Intermediate
Most teams see their first loop live within a day—the Cosmos advisor lets you describe the loop in natural language, approve the plan, and the first run fires automatically. For more complex automations with custom experts or on-prem compute, expect 1–3 days to fine-tune triggers and checkpoints.
Runs on
WebCLI
API available · 16 integrations
Who it's for
Engineering Manager at a mid-size SaaS companyPlatform Engineer at an enterpriseTech Lead in a fast-growing startup
Live sentiment
Is Augment Code actually worth it?

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Skip it if

Skip Augment Code if you're a small team or individual developer just starting with AI coding assistants, if your budget doesn't accommodate $100/month plus potential usage overages, or if your projects require fully manual review with no automated agents allowed.

The 30-second take
Biggest gripe

Going over the included $100 monthly usage triggers pay-as-you-go top-ups; the 40% service fee on LLM usage will increase your effective token cost.

Price reality

At $100/month flat for up to 50 seats with $100 of usage, Augment Code's Business plan is cost-effective for mid-size engineering teams—cheaper than per-seat enterprise AI tools (e.g., Cursor Enterprise is $60/user/month). However, individual developers or small startups will find Claude Code or Cursor's free/affordable tiers more economical, and the 40% service fee on top-ups can make heavy usage pricey.

In short

Augment Code — Agent orchestration platform that runs your software factory loop by loop. Best for Enterprise engineering teams needing standardized agent workflows across the SDLC, Organizations requiring SOC 2, HIPAA, or ISO 42001 compliance for AI coding tools, Teams wanting to automate code review, CI failure analysis, and security remediation with agents. Free to start; paid plans from $100/mo.

What's new in Augment Code

Checked 4 days ago

Across the latest 5 updates: 2 feature updates, 1 changelog entry and 2 news mentions.

Viability Score

97/100
Safe Bet

How well maintained and how widely used is Augment Code? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this

Recent activity
90
Traction
not measured
Site health
95
User sentiment
not measured
What the vendor publishes
100

Last calculated: September 2026

How we score →

Key Features

  • Pre-built SDLC Experts (Deep Code Reviewer, CI Failure Investigator, etc.)
  • Ticket-to-PR automation from Jira/Confluence to merged PR
  • Context Engine reduces token usage by 33%
  • Prism model router with GPT-5.6 Sol default
  • Bring-your-own-key (BYOK) model support
  • Human-in-the-loop smart escalation with checkpoints
  • CLI access (Auggie CLI 0.36.0) with MCP and native tools
  • Session forking and cost analytics CSV exports
  • Shared team memory and expert registry
  • Automated verification with screenshots
  • Runs on managed cloud, your machines, or mixed pools
  • Native triggers for GitHub, GitLab, Slack, Linear, Jira, webhooks
  • Daemon mode for continuous runs
  • Security: SOC 2 Type II, CMEK, ISO 42001
  • No AI training on paid plans

About Augment Code

FreemiumIntermediateAPI availableWeb · CLI

Augment Code's Cosmos is an agent orchestration platform for engineering organizations that have moved past individual AI coding assistants. Instead of prompting agents task by task, teams set up standing loops where agents handle the repetitive middle of the SDLC—triggering, executing, reviewing, and verifying—while engineers keep control at quality gates. Built for enterprise teams, platform engineers, and engineering leaders, Cosmos turns AI coding into governed, repeatable infrastructure. It runs on managed cloud, your own machines, or a mix, and integrates natively with GitHub, GitLab, Slack, Jira, Linear, and more—making it a fit for organizations that need standardized, scalable workflows with human checkpoints. Cosmos ships with a fleet of pre-built Experts covering the full SDLC: Deep Code Reviewer reads PRs end-to-end and posts inline comments with an approve/request-changes verdict; CI Failure Investigator diagnoses failed GitHub Actions runs; Security Vulnerability Triager monitors Dependabot and Snyk alerts and files prioritized issues; Incident Response Coordinator pages on-call, opens war rooms, and drafts timeline docs; Dependency Upgrade Bot groups safe bumps into single PRs. The library also includes Triage Work Dispatcher, PR Author, Code Review Fleet, and Tester—each owning its slice and escalating to humans at checkpoints. Under the hood, the Context Engine maps your codebase structurally so agents fetch only the context a task needs, cutting token usage by 33% with the same quality. Prism, a model router, auto-selects the best model per turn, with GPT-5.6 Sol as the default since July 2026, and supports bring-your-own-key setups. Cosmos also includes governance and observability: shared team memory, session forking, cost analytics with CSV exports, and human-in-the-loop smart escalation. The pricing is refreshingly simple: a flat $100/month for up to 50 seats, including $100 of usage, with pay-as-you-go top-ups—no per-seat charges. For

Behind the Verdict

Augment Code's Cosmos stands out as a mature agent orchestration platform. The loop model—where agents handle the repetitive middle of the SDLC and humans hold the quality gates—is a genuinely different approach from basic AI coding assistants. The pre-built Experts (Deep Code Reviewer, CI Failure Investigator, etc.) are not just prompts; they are captured judgment made runnable, and the platform's ability to wire them into standing loops (e.g., ticket-to-PR) is a real productivity multiplier. Strengths: Strong governance—human-in-the-loop checkpoints, shared memory, cost analytics, and enterprise security (SOC 2 Type II, CMEK, ISO 42001). The Context Engine's 33% token reduction is a concrete cost saver. The flat $100/month pricing for up to 50 seats is refreshingly simple and avoids per-seat sticker shock. The recent shift to GPT-5.6 Sol as default, and the 53% cost reduction vs Claude Code via the rebuilt CLI harness, show a team actively optimizing for value. Weaknesses: The $100/month plan is all-or-nothing; there's no low-cost tier for smaller teams. Usage top-ups can escalate beyond the included $100, and the 40% service fee on LLM usage is a hidden cost. The product is complex—setting up loops and Experts requires a learning curve, and it's likely overkill for teams still evaluating basic assistants. Where it fits: Enterprise engineering orgs with >50 engineers, platform teams building standardized workflows, and organizations needing compliance (SOC 2, ISO 42001). Where it doesn't: small startups or indie devs who can get by with Claude Code or Cursor at a fraction of the cost.

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Real-world workflow fit

Concrete scenarios for the personas Augment Code actually fits — and what changes day-one when you adopt it.

Engineering Manager at a mid-size SaaS company

You want to standardize code review across your team of 20 engineers.

Outcome: You set up the Code Review loop with the Deep Code Reviewer expert; every PR gets a substantive first-pass review within minutes, cutting time-to-merge by 66% and freeing senior engineers for architecture-level reviews.

Platform Engineer at an enterprise

You need to automate vulnerability remediation across your codebase.

Outcome: You configure the Security Remediation loop with the Security Vulnerability Triager, which monitors Dependabot and Snyk alerts and files prioritized issues; 60%+ CVEs are remediated automatically, with patches ready for human approval.

Tech Lead in a fast-growing startup

You want to automate the ticket-to-PR pipeline for Jira tickets.

Outcome: You set up the Ticket-to-PR loop that investigates, writes the change, and exercises it end to end; it outputs a reviewed PR, boosting engineering throughput 2–3× and letting your team focus on higher-level design.

Use Cases

  • Automate triage of incoming issues by scanning open tickets and dispatching agents.
  • Refactor a legacy module to new API patterns while preserving existing tests.
  • Review a pull request end-to-end with inline comments and risk analysis.
  • Create a new microservice from scratch using existing codebase utilities.
  • Debug production issues by analyzing dependencies and recent changes.
  • Investigate and resolve security alerts before on-call engineers join.
  • Automatically patch CVEs with reviewed fixes across the codebase.

Models Under the Hood

GPT-5.6 Sol

as of 2026-08-30

Limitations

  • The $100/month flat fee may surprise smaller teams, as it includes only $100 of usage; exceeding that requires top-ups with a 40% service fee on LLM usage.
  • The platform is complex and may have a steep learning curve for setting up loops and Experts.
  • There's no free tier for individual developers, and the product is likely overkill for teams just exploring AI coding assistants.

as of 2026-08-29

Verification history

We have re-verified Augment Code 19 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.

  1. re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  2. re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  3. re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  4. re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  5. re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  6. re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it

Showing the 6 most recent of 19 verification passes.

Free to cite with attribution — this page re-verifies continuously.

12-month cost

Project the real annual outlay, including the implied monthly cost when only an annual tier is published.

Annual total
Free
Over 12 months
Effective monthly
Free
Billed monthly

Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.

Plans compared

For each published Augment Code tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.

Free

$0/mo

Ideal for

Individual developers or very small teams wanting to explore the Cosmos platform with limited usage and community support.

What this tier adds

Starting tier with limited usage and community support; provides access to the platform for evaluation.

Business

$100/mo

Ideal for

Mid-size engineering teams (up to 50 seats) that need a flat-rate, low-cost entry to agent orchestration with $100 monthly usage included.

What this tier adds

Adds CLI access, MCP & Native Tools, usage analytics, daemon mode, and 50 concurrent sessions—up from the free tier's limited usage.

Enterprise

Custom

Ideal for

Large enterprises with high volume, security, or compliance requirements that need SSO, CMEK, and custom compute.

What this tier adds

Adds unlimited users and sessions, multi-region compute, SSO/OIDC/SCIM, CMEK & ISO 42001, SIEM integration, and dedicated support.

Hidden costs & gotchas

What the public pricing page doesn't put in bold. Captured from pricing-page footnotes, contract terms, and recurring complaints.

  • Going over the included $100 monthly usage triggers pay-as-you-go top-ups; the 40% service fee on LLM usage will increase your effective token cost.
  • The Business plan tops out at 50 seats; teams larger than 50 must move to a custom-priced Enterprise plan.
  • Enterprise-only features like SSO, SCIM, CMEK, and ISO 42001 compliance require the custom-priced tier, so compliance-heavy teams can't stay on the flat $100 plan.
  • Usage top-ups are valid for 12 months only; unused credits expire.
  • Trials and beta use don't carry the SLA, so you may not get the same uptime guarantees during evaluation.

Where the pricing makes sense

The company stage and team size where Augment Code's pricing actually pencils out — and where peers do it cheaper.

At $100/month flat for up to 50 seats with $100 of usage, Augment Code's Business plan is cost-effective for mid-size engineering teams—cheaper than per-seat enterprise AI tools (e.g., Cursor Enterprise is $60/user/month). However, individual developers or small startups will find Claude Code or Cursor's free/affordable tiers more economical, and the 40% service fee on top-ups can make heavy usage pricey.

Setup time & first value

How long it actually takes to get something useful out of Augment Code — broken out by persona, not the marketing-page minute.

Most teams see their first loop live within a day—the Cosmos advisor lets you describe the loop in natural language, approve the plan, and the first run fires automatically. For more complex automations with custom experts or on-prem compute, expect 1–3 days to fine-tune triggers and checkpoints.

Switching to or from Augment Code

How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.

Migrating in
  • From Cursor or Copilot: You can keep your existing workflows and gradually introduce Cosmos loops; the Context Engine and CLI integrate directly with your codebase, so you don't need to start from scratch.
Migrating out
  • To Claude Code or Cursor: If you find Cosmos too complex, you can export your experts' prompts and use them as system prompts in simpler CLI tools like Claude Code.

Integrations

GitHubGitLabSlackJiraLinearConfluencePagerDutyDependabotSnykAWSGCPCodespacesDevcontainersMCP (Model Context Protocol)ClickUpSnowflake

Resources & Guides

Tutorials & Learning

Tools that pair well with Augment Code

Common stack mates teams adopt alongside Augment Code, with the specific reason each pairing earns its keep.

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Frequently Asked Questions

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