What is Augment Code?
Augment Code is an advanced AI development platform that transforms how teams interact with their codebase. The platform integrates seamlessly with existing workflows, providing instant responses to code-related queries, codebase-wide suggestions, and real-time completions that understand team dependencies and coding styles.
Built with enterprise-grade security (SOC 2 Type II certified) and privacy features, Augment Code helps developers stay in flow by eliminating the need to search documentation or interrupt teammates. The platform's context-aware AI engine taps into the team's collective knowledge, including codebase, documentation, and dependencies, making it an invaluable tool for both new and experienced developers.
Features
- Context-Aware Chat: Instant answers about code without searching documentation or interrupting teammates
- Suggested Edits: Step-by-step guidance for complex code changes across multiple files
- Real-time Completions: Personalized in-line code suggestions based on codebase and dependencies
- Slack Integration: Team collaboration with codebase insights and quick answers
- Security Compliance: SOC 2 Type II, GDPR, and CCPA certified with robust IP protection
- Performance Analytics: Built-in dashboards for usage tracking and completion acceptance rates
Use Cases
- Developer onboarding and training
- Complex code refactoring
- Dependency upgrades
- Schema changes implementation
- Code documentation and exploration
- Technical decision making
- Bug investigation
- API integration
FAQs
-
Do credits come with usage caps?
No, with a credit, developers can use Augment Code as much as they want without overages or extra fees. -
How long do credits remain valid?
Credits are valid for 12 months and unused credits roll over with renewal. -
Does minimal usage count towards credit consumption?
Yes, even using one suggestion or one chat in a given month will draw down a monthly seat credit.
Related Queries
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Augment Code Uptime Monitor
Average Uptime
100%
Average Response Time
321.63 ms
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