• Greptile is an AI-driven code review platform that automates pull request analysis.
• It creates a comprehensive knowledge graph of a software codebase, mapping relationships among functions, classes, files, and dependencies.
• Unlike traditional tools, it provides context-aware reviews to identify bugs, architectural issues, security risks, and performance concerns.
• The platform integrates with GitHub and GitLab for automatic pull request reviews and inline feedback.
• Developers can interact conversationally with the AI, refining recommendations through feedback.
• Greptile supports cloud deployment, self-hosted environments, and API integrations, enhancing code quality and accelerating merging processes.
Full codebase graph analysis for context-aware reviews
Automated pull request review with AI-generated insights
GitHub and GitLab integrations
Inline feedback and suggested fixes within PR workflow
Conversational interaction with AI reviewer
Reinforcement learning based on developer feedback
Knowledge graph modeling of repository dependencies
Security and bug detection during review stage
Self-hosted deployment options with custom LLM support
API access for integration into developer workflows
What is Greptile used for?
Greptile automates code reviews by analyzing pull requests with full awareness of the entire codebase, helping developers detect bugs and maintain consistent quality.
How does Greptile differ from traditional linters?
Traditional linters analyze files individually, while Greptile builds a knowledge graph of the whole repository to provide context-aware feedback.
Does Greptile integrate with common development platforms?
Yes, it integrates directly with GitHub and GitLab workflows, leaving feedback within pull requests.
Can Greptile learn from team feedback?
Yes, developers can react to suggestions, allowing the system to refine future recommendations based on team preferences.
Is self-hosting supported?
Yes, Greptile can be deployed in private environments, including self-hosted infrastructure using custom AI models.