Augment Code
Augment Code is an AI-powered development platform featuring a proprietary Context Engine that provides agents with a deep, semantic understanding of large codebases. It enables automated workflows including code review, incident response, and end-to-end feature implementation across IDEs, CLI, and Slack.
Launched Context Engine MCP to provide semantic codebase awareness to external agents like Cursor and Claude Code, alongside ongoing refinements to the Auggie CLI and Cosmos platform including expanded integration catalogs.
As of
- Context Engine for semantic codebase indexing and cross-repo dependency tracking
- Agentic code review for pull requests and automated ticket-to-PR workflows
- Auggie CLI for terminal-first interactive and automated development
- Model-agnostic architecture supporting Claude, GPT-5, and Gemini variants
- Context Engine MCP to bring semantic context to third-party agents
Large-scale enterprise codebases requiring deep architectural context, automated code review, and multi-agent coordinated development.
Small-scale projects where per-task token costs and compute billing might outweigh the benefits of deep semantic indexing.
Uses a flat-fee business plan at $100/month (including up to 50 seats) with usage-based billing for LLM tokens, 40% service fees, and compute, plus enterprise options.
A top-tier, enterprise-grade AI coding platform that excels at delivering production-ready code through superior context management rather than just raw model power.
Is Augment Code free?
Augment Code is Paid. Uses a flat-fee business plan at $100/month (including up to 50 seats) with usage-based billing for LLM tokens, 40% service fees, and compute, plus enterprise options. Check the official site for current plans.
What is Augment Code best for?
Large-scale enterprise codebases requiring deep architectural context, automated code review, and multi-agent coordinated development.
Who makes Augment Code?
Augment Code is developed by Augment. It is listed in the IDE Extensions & Plugins category on ai.dosa.dev.
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