Augment Code - 2026 Pricing, Features, Reviews & Alternatives

Augment Code is an AI-native coding platform built for enterprise-grade software engineering teams, from individual developers to large organizations managing complex, legacy, or regulated codebases. The platform (Cosmos) runs coding agents at organizational scale, equipping them with deep codebase context, tool access, and feedback loops that span the full software delivery lifecycle, from task description through code review and merge. Deployment options include managed cloud sandboxes, self-hosted environments for data residency requirements, and hybrid pools combining cloud and on-premises machines. IDE extensions for VS Code and JetBrains, plus a CLI agent (Auggie) that runs anywhere Node.js is available, including CI pipelines and serverless functions, extend the platform across engineering workflows.

The platform's Context Engine processes up to 200,000 tokens of codebase context, maintaining awareness of code relationships, APIs, and team-specific patterns across large repositories. Coding agents plan, execute, and review work autonomously using a shared living spec, with specialized roles (Coordinator, Implementors, Verifier) collaborating on multi-step tasks. Automated workflows cover PR review (Pair Review, Deep Code Review, PR Risk Analysis), CI failure diagnosis, security remediation via Dependabot and Snyk alert scoring using CVSS context, dependency management, and ticket-to-PR dispatch. Custom automations connect to GitHub, GitLab, Slack, Linear, Jira, Vercel, Cloudflare, and MCP-compatible tools through typed webhooks, schedules, and event triggers. Agent Memories persist across conversations, updating automatically to reflect evolving team coding standards and workflows.

Augment Code targets software engineering teams in technology, e-commerce, logistics, and regulated industries with compliance requirements including HIPAA, SOX, and ISO/IEC 42001. The Business plan supports up to 50 seats; the Enterprise plan addresses high-volume teams with advanced security, compliance, and support needs. The platform is SOC 2 audited and does not train AI models on customer data under paid plans. A cost analytics dashboard with CSV export, per-user breakdowns, and credit consumption tracking gives team admins full visibility into platform adoption and usage. The model-agnostic architecture supports Claude, GPT-4, and bring-your-own models, with Prism routing selecting the best-fit model per task.