Augment Code is an AI-powered software development platform built around Cosmos, a system for orchestrating coding agents across an entire engineering organization rather than a single developer's editor. It targets software engineering teams, engineering leaders, and organizations that already use individual AI coding agents but lack a way to coordinate agent work at scale. The core workflow moves tasks from spec to verification through configurable "loops," with engineers directing agents in natural language and staying in control at key decision points. It is delivered as a web-based platform with CLI access, positioning itself less as a single autocomplete tool and more as infrastructure for running AI-assisted development across many repositories and contributors.
What it does
Augment Code provides Cosmos, a platform for building an always-on software delivery pipeline where AI agents handle work across the full development lifecycle, not just code generation. Instead of one engineer working with one assistant, Cosmos is designed to let organizations run multiple coordinated "loops" — repeatable workflows that take a task from specification through implementation to verification. Engineers and an "Advisor" component help construct and tune these loops using natural language instructions, while retaining oversight at defined checkpoints. The product is aimed at teams that need agentic development to scale beyond individual contributors to organization-wide software delivery, sitting on top of existing infrastructure and expert review rather than replacing either.
Key capabilities
- Loop-based delivery pipeline: Structures work as repeatable loops moving from spec to implementation to verification, rather than one-off chat sessions.
- Advisor-assisted configuration: Lets engineers build and tune agent workflows using natural language rather than manual scripting.
- Context Engine: Included across plans to give coding agents broader awareness of a codebase during agentic tasks.
- CLI access and native tooling: Supports command-line workflows alongside chat and agent interfaces, plus MCP and native tool integrations.
- Organization-scale orchestration: Coordinates agent activity across many seats and repositories rather than a single-user coding session.
- Enterprise controls: Offers SSO, OIDC, SCIM, SOC 2 compliance, CMEK, and ISO 42001 support, plus a stated no-AI-training-on-customer-data policy at higher tiers.
Pricing
Augment Code uses a flat per-team pricing model rather than per-seat billing, covering up to 50 seats per plan. The Standard plan is $20/month and includes $20 of monthly usage across the LLM, Context Engine, and compute, plus CLI access, MCP and native tools, and SOC 2 Type II compliance. The Business plan is $100/month with $100 of included monthly usage and the same feature set as Standard. An Enterprise tier offers custom pricing with bespoke usage limits, volume discounts, SSO/OIDC/SCIM support, and dedicated support. All tiers state no AI training on customer data, and usage beyond included amounts is billed via pay-as-you-go top-ups. Pricing page: View pricing
Editorial review
Augment Code's differentiation is its framing around organizational-scale agentic development rather than a single-developer coding assistant — the emphasis on "loops," an Advisor for building workflows, and Cosmos as an orchestration layer suggests it is aimed at engineering leaders trying to standardize AI-assisted delivery across teams, not just individual contributors looking for autocomplete. The flat team pricing (rather than per-seat) is notable and could be attractive for teams scaling usage without linear cost increases, and enterprise-grade compliance options (SOC 2, ISO 42001, CMEK, SSO/SCIM) indicate it is being positioned for regulated or larger organizations, backed by customer logos from companies like MongoDB, Adobe, Webflow, and Snyk.
That said, some claims are abstract in the source material — terms like "software factory" and "loops" are marketing framing that would benefit from more concrete technical detail on how agent orchestration, verification, and human checkpoints actually work in practice. There's no explicit free tier or trial mentioned; the entry point is a $20/month paid plan, so teams should expect to pay from day one rather than test extensively for free. Prospective buyers evaluating this against single-user AI coding assistants should weigh whether they need organization-wide orchestration versus simpler individual tooling, and enterprise teams should confirm specifics on data handling and compliance certifications directly before committing.
