Augment Code
What is Augment Code?
TL;DRAugment Code is an agentic software development platform for organizations that coordinates AI coding agents across code review, testing, migrations, security remediation, and broader engineering workflows.
- Agentic software development platform for organizations
- Cosmos coordinates agents, experts, workflows, and shared memory
- Supports code review, tests, triage, migration, and security remediation
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About
Augment Code is an agentic software development platform for organizations that want to coordinate AI coding agents across the software development lifecycle. Its Cosmos platform is positioned around helping teams move beyond individual AI adoption into organization-level agent workflows.
The product is useful for engineering leaders, SaaS companies, and technical founders managing larger codebases or teams. Augment supports workflows such as ticket to PR, code review, test coverage, incident management, security remediation, migrations, onboarding, and team standards at scale.
Augment's Context Engine is designed to map codebases by structure and give agents the relevant slice of context instead of sending too much irrelevant code to the model. This makes it interesting for companies dealing with large repositories, enterprise engineering processes, and AI coding cost control.
For FutureStack, Augment Code belongs in Coding because it is one of the more serious enterprise coding-agent platforms. It is best for developer teams and SaaS businesses that want AI agents to operate across real workflows rather than only autocomplete inside an editor.
Use Cases
Agentic Code Review
Use AI agents to inspect pull requests for bugs, architecture issues, security risks, and consistency with team standards.
Ticket-to-PR Workflows
Delegate defined engineering tickets to agents that can plan, implement, test, and prepare changes for human review.
Large Codebase Work
Use repository-aware context to help agents operate on large codebases without overwhelming models with irrelevant files.
Engineering Automation
Automate repetitive testing, migrations, incident work, onboarding, and other software-development lifecycle tasks.
Key Features
- Agentic software development platform for organizations
- Cosmos coordinates agents, experts, workflows, and shared memory
- Supports code review, tests, triage, migration, and security remediation
- Context Engine helps agents understand large codebases
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Pricing summary
Augment Code uses team and enterprise-oriented pricing. Buyers should check the official pricing page for current seats, usage limits, support, and enterprise terms.
Pricing & Plans
Developer / Trial
Get started with Augment's coding agent workflows.
Custom
- Agentic coding workflows
- Codebase context engine
- IDE and CLI workflows
- Check official pricing
Popular
Team / Business
Coordinate AI development workflows across engineering teams.
Custom
- Code review and test workflows
- Ticket-to-PR automation
- Shared memory and standards
- Team coordination features
Enterprise
Organization-scale agent platform for engineering departments.
Custom
- Custom pricing
- Enterprise security
- Large-codebase workflows
- Support for organizational rollout
Other pricing notes
- Augment uses team and enterprise-oriented pricing with usage and support considerations.
- Current seat pricing and usage limits should be confirmed on the official pricing page.
- Review repository access, security controls, support, and enterprise terms before rollout.
Pricing last checked: July 2026Official pricing
Pros & Cons
Pros
- Built for organization-level coding workflows, not only autocomplete
- Supports code review, ticket-to-PR, testing, and migration work
- Context engine is useful for large repositories and team standards
- Enterprise controls fit serious engineering organizations
- Good match for teams adopting agentic software development
Cons
- Pricing and rollout may be heavier than solo coding tools
- Best value appears in teams with larger codebases and processes
- Some workflows require integration with existing engineering systems
- Trials and beta usage may have limited support terms
- Teams should review security, repo access, and governance carefully
The Best Augment Code Alternatives
The best Augment Code alternatives are Factory AI, Devin, and Bolt.new.
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