Augment Code
Orchestrate AI agents across the full SDLC at enterprise scale.
For engineering leaders looking to move beyond individual AI assistants to organization-wide agentic workflows, Augment Code's Cosmos is the most complete platform available. It's overkill for small teams—start with Claude Code or Cursor first.
- Enterprise engineering teams needing standardized agent workflows across the SDLC
- Organizations requiring SOC 2, HIPAA, or ISO 42001 compliance for AI tooling
- Teams wanting to reduce code review bottlenecks with automated agents
- Engineering leaders seeking visibility and governance over agentic coding tools
- Small startups or indie devs: enterprise overhead and complexity unnecessary
- Teams still evaluating basic AI coding assistants (try Cursor or Claude Code first)
- Projects where human review is mandatory by policy with no automation allowed
We scan live Reddit threads, YouTube comments, X posts, G2 reviews and other communities — and hand you an honest verdict in under a minute.
- Honest verdict, not marketing
- Real pros & cons from real users
- Attributed quotes with receipts
3 free scans · no card needed
Skip Augment Code if you're a solo developer or a small team that can get by with a simpler AI coding assistant like Claude Code or Cursor, as Cosmos introduces unnecessary enterprise overhead and complexity.
Going past $100 of included monthly usage adds top-up fees ($15 for 24k credits), which can escalate for heavy users.
At $100/month flat for up to 50 seats, Cosmos is cheaper than per-seat tools like Cursor Pro ($20/seat) for large teams, but usage costs can add up. Enterprise pricing is custom and likely high; for small teams, free tiers of Cursor or GitHub Copilot are more cost-effective.
In short
Augment Code — Orchestrate AI agents across the full SDLC at enterprise scale. Best for Enterprise engineering teams needing standardized agent workflows across the SDLC, Organizations requiring SOC 2, HIPAA, or ISO 42001 compliance for AI tooling, Teams wanting to reduce code review bottlenecks with automated agents. Free to start; paid plans from $100100/mo.
What's new in Augment Code
Checked 11 days agoAcross the latest 9 updates: 4 feature updates, 1 launch, 2 changelog entries and 2 news mentions.
The bottleneck moved to verification. So we automated that too.
Blog post discussing automation of verification to address new bottleneck in AI-assisted development.
An AI analyst that reads Linear, Slack, and GitHub and answers team queries off our dbt models
Introduces an AI analyst that integrates with Linear, Slack, GitHub, and dbt to answer team queries.
Auggie CLI 0.30.0 Release Notes
Cloud projects, tunnels, analytics commands; sub-agent hooks; secrets spaces; context compression restored.
Auggie CLI 0.31.0 Release Notes
New triggers (Jira, Confluence, GitLab, Teams), session space pinning, VFS file links, and bug fixes.
Accelerating large engineering projects with Cosmos
Discusses how Cosmos accelerates large engineering projects by running the full SDLC with agents.
Agents can now run the full SDLC in Cosmos. What do engineers do?
Explores the changing role of engineers as agents handle the full software development lifecycle in Cosmos.
Hello, Cosmos: the platform for AI-native engineering teams
Announces Cosmos, a platform for AI-native engineering teams with end-to-end agent workflows.
Opus 4.7 for 33% less: How Auggie beats Claude Code on cost and quality
Claims Auggie achieves Opus 4.7 quality at 33% lower cost compared to Claude Code.
Introducing Augment Prism: model routing to reduce cost and maintain quality
Launches Augment Prism, a model routing system that reduces costs while maintaining output quality.
Viability Score
How likely is Augment Code to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →Key Features
- Unified Agents Platform (Cosmos) for SDLC orchestration
- Context Engine with structural code mapping for 33% lower token cost
- Prism model router routes each turn to best model (20-30% cost savings)
- Model-agnostic: BYOK for frontier & open models
- Pre-built agents: Triage, PR Author, Deep Code Review, Tester, Pair Review, PR Risk Analysis
- Ticket-to-PR automation from design doc to shipped feature
- Incident management: investigate alerts before humans arrive
- Security remediation: auto-patch CVEs with reviewed fix
- Human-in-the-loop smart escalation policies
- Agent Registry for sharing workflow templates
- Knowledge compounding: shared memory & team memory
- SOC 2 Type II, HIPAA BAA, ISO/IEC 42001 compliance
- VPC deployment, single-tenant instances, CMEK encryption
- CLI access with MCP & Native Tools
- Cloud workflow triggers from Jira, Confluence, GitLab, Teams (June 2026)
About Augment Code
Augment Code's Cosmos platform is built for enterprise engineering teams that have outgrown individual AI coding assistants. It unifies fragmented agent workflows—triage, authoring, code review, verification—under a single governed system. The platform includes a Context Engine that maps codebases by structure and reduces token usage by up to 33%, a model-agnostic router called Prism that chooses the best model per task to cut costs by 20-30%, and a library of pre-built agents like Triage Work Dispatcher, PR Author, Deep Code Review, and Tester. These agents own the entire loop from ticket to merge, with human-in-the-loop checkpoints. Security is enterprise-grade: SOC 2 Type II, HIPAA BAA, ISO/IEC 42001, CMEK encryption, VPC deployment, and single-tenant options. Unlike point solutions like Claude Code or Cursor, Cosmos provides organizational orchestration, shared memory, policy controls, and automated ticket-to-PR workflows. Pricing starts at $100/month flat for up to 50 seats with $100 of usage included; Enterprise is custom.
Behind the Verdict
Augment Code's Cosmos is a serious platform for enterprises that want to treat AI agents as a team function rather than a personal productivity hack. The Context Engine and Prism router are genuinely differentiated—they deliver real cost savings (33% fewer tokens, 20-30% lower task cost) without sacrificing quality. The pre-built agents covering triage, PR authoring, code review, and testing make it easy to stand up standardized workflows. Where Cosmos excels is governance: human-in-the-loop policies, audit logs, SIEM integration, and compliance certs (SOC 2, HIPAA, ISO 42001) give platform teams the control they need. The latest updates add triggers for Jira, Confluence, GitLab, and Teams, plus CLI improvements like sub-agent hooks and secrets spaces. But there's a catch: the Business plan's $100 flat fee includes $100 of usage—if your team runs many agents, you'll hit top-ups quickly. The platform also adds organizational complexity that most small teams simply don't need. Compared to Cursor or Claude Code, which are optimized for individual developer speed, Cosmos is built for coordination and repeatability. It's the right choice if you have a platform team that can manage agent workflows and you care about compliance. If you're a solo dev or a five-person startup, spend the money on a simpler tool.
Researching Augment Code? Get your full AI stack in 60 seconds.
Free, no signup — tell us your goal and get tools matched to your budget & existing stack.
Real-world workflow fit
Concrete scenarios for the personas Augment Code actually fits — and what changes day-one when you adopt it.
Your team of 40 engineers receives 200+ Jira tickets per week. You want to triage, assign, and route each ticket to the right agent without manual overhead.
Outcome: Triage Work Dispatcher scans open tickets, applies a rubric, and dispatches the appropriate expert agent—PR Author, Tester, etc.—reducing triage time from hours to minutes and ensuring no ticket is missed.
You need to rewrite a legacy payment module to use a new API, preserving all existing tests. The module spans multiple repos and has many edge cases.
Outcome: PR Author agent takes the task description, drives commits across repos, while Tester runs the full test suite after each change. Deep Code Review reviews the final PR inline, flagging security and compatibility issues before merge.
A CVE is announced for a library used across your monorepo. You must assess impact, patch all occurrences, and generate an audit trail.
Outcome: Security Remediation agent scans the repo for usages of the vulnerable library, proposes fixes with inline commentary, and auto-creates PRs. Each fix is reviewed and tested by the same agent loop, cutting remediation from days to hours.
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
as of 2026-07-06
Limitations
- PR-based cost tracking can be unpredictable; large teams may benefit from Enterprise for fixed pricing.
- Cosmos orchestration is powerful but requires proper agent configuration via AGENTS.md files.
- Enterprise plan needed for VPC deployment and single-tenant instances.
as of 2026-06-30
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
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
Business
$100/mo flat — includes $100 of usage
Ideal for
Teams of up to 50 engineers who need a flat-rate platform with usage-based flexibility, compliance (SOC 2), and pre-built agent workflows.
What this tier adds
Starting paid tier: $100/month flat includes $100 of usage, up to 50 seats, CLI access, MCP/Native Tools, and SOC 2 Type II compliance.
Enterprise
Custom
Ideal for
Large organizations with custom security needs (CMEK, ISO 42001, SIEM), unlimited users, and dedicated support who want multi-region compute and volume discounts.
What this tier adds
Adds unlimited seats, custom compute size, multi-region compute, unlimited concurrent sessions, CMEK encryption, ISO 42001 compliance, SIEM integration, and dedicated support.
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, Cosmos is cheaper than per-seat tools like Cursor Pro ($20/seat) for large teams, but usage costs can add up. Enterprise pricing is custom and likely high; for small teams, free tiers of Cursor or GitHub Copilot are more cost-effective.
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.
For a team already using GitHub and Jira: initial codebase indexing takes 1–2 hours for a small repo, up to a day for a large monorepo. Setting up AGENTS.md and configuring workflow triggers adds another 2–4 hours. After that, the pre-built agents work immediately; custom agents require iterative refinement over a week.
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.
- →From Claude Code: Migrate your custom prompts and workflows by converting them into AGENTS.md templates and configuring the Prism router to use the same models.
- →From GitHub Copilot: Replace Copilot’s autocomplete with Cosmos agents for full SDLC; you can keep using Copilot for inline completions if desired.
- ↗To Claude Code: Export Cosmos agent templates as documentation and continue using Claude Code’s CLI for individual tasks—lose orchestration and shared memory.
- ↗To Cursor: For small teams, switch to Cursor’s per-user AI coding, but you’ll need manual workflows for CI/CD integration.
Integrations
Resources & Guides
Tools that pair well with Augment Code
Common stack mates teams adopt alongside Augment Code, with the specific reason each pairing earns its keep.
Featured Head-to-Head Comparisons
Alternatives to Augment Code
View allPoolside AI
Enterprise open-weight foundation models and agents for high-consequence software engineering.
Frequently Asked Questions
Used Augment Code? Help shape our editorial sentiment research.