Augment Code

Augment Code is an AI coding platform for professional engineering teams that want agents to work across the software delivery loop, not just autocomplete code. Cosmos coordinates agents for triage, authoring, review and verification, with shared organization knowledge and controls for larger codebases.

Key Highlights

• Cosmos runs agents for triage, PR authoring, review, risk analysis and testing.
• Context Engine maps code by structure, including call paths and active code.
• Integrates with Slack, GitHub, Jira, CI, the CLI, MCP and native tools.
• Supports laptops, dev VMs, managed cloud and customer cloud deployment.
• Includes SOC 2 Type II, ISO/IEC 42001, SSO, RBAC, audit logs and SIEM.
• Paid plans state that Augment does not train AI on customer code.

What Makes It Different

Augment Code is positioned less like a single coding assistant and more like an organization-level agent system. The homepage describes specialized experts for each stage: Work Dispatcher, PR Author, Pair Review, Deep Code Review, PR Risk Analysis and Tester.

Its main technical differentiator is the Context Engine. Augment says it maps codebase structure and pulls only the slice relevant to the task, instead of sending broad keyword matches to a model. That matters for teams worried about token cost, context quality and large-repo changes.

Features & Capabilities

Teams can use shipped experts, fork them or build their own templates with separate environments, capabilities and memory. Cosmos adds an expert registry, human-in-the-loop escalation, organization knowledge, scheduling, sandboxes, shared file systems and lifecycle triggers.

The enterprise feature set includes zero data retention, CMEK encryption, VPC deployment, single-tenant instances, BYOK for models, data residency controls, replayable runs, on-prem deployment, HIPAA BAA availability and dedicated account support.

User Ratings and Testimonials

Augment Code does not publish independent star ratings or named third-party testimonials. Augment's homepage cites customer outcome metrics, including 70%+ of pages resolved before the on-call engineer joins and 60%+ of CVEs automatically remediated, but those are vendor-reported figures.

The clearest buyer tradeoff is fit. The product is aimed at teams that need shared agent workflows, policy controls and codebase context, not individuals looking for a low-cost personal assistant. Business support is community-based with tickets through the support portal, while Enterprise adds dedicated support.

Pricing & Value

• Business: $100/month, flat price for up to 50 seats, with $100/month of included usage across LLM, Context Engine and compute.
• Enterprise: Custom pricing for high-volume organizations, unlimited users, custom usage, multi-region compute, SSO, OIDC, SCIM, CMEK, ISO 42001 compliance and dedicated support.

Business usage is pooled across the team. Extra usage is handled with pay-as-you-go top-ups, and the pricing FAQ lists a 40% service fee on LLM usage plus Cosmos compute time.