1
CodeRabbit
Provides industry-leading context-rich AI code reviews by pulling in dozens of data points from the codebase, including user intent, file dependencies, and past PRs.
AI Tool
Greptile Review
Greptile is an AI code review agent that automatically reviews pull requests with full codebase context, identifying issues and suggesting fixes.
shipped Jun 9, 2026aifreemium
1Greptile Agent v4, released March 5, 2026, increased addressed comments per PR by 74%.
2The platform is SOC2 Type II and HIPAA compliant.
3An API is available with a rate limit of 100 requests/hour per IP for HTTP/JSON-RPC Mode.
4Greptile utilizes a multi-model architecture, including NVIDIA Nemotron 3 Ultra, for code review.
Greptile at a Glance
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overview
What is Greptile?
Greptile is an AI code review agent tool developed by Greptile that enables software engineers and development teams to automate pull request reviews with full codebase context. It identifies issues and suggests fixes, aiming to accelerate merging and improve code quality. Greptile functions by building a detailed 'code graph' of an entire repository, understanding the relationships between functions, variables, classes, files, and dependencies. This comprehensive codebase context allows it to reason about the ripple effects of code changes beyond the immediate diff. Key platform evolutions include Greptile 2.0 (October 8, 2024), which expanded it into a codebase intelligence platform with a code review bot, Jira/Linear integration, and custom API integrations. A major update on May 30, 2025, introduced long-term memory for the code review agent to learn company-specific coding idiosyncrasies and further integrations with Jira, Google Docs, and Notion. The latest iteration, Greptile Agent v4 (March 5, 2026), boasts improved bug detection and a lower false positive rate, demonstrating a 74% increase in addressed comments per PR.
quick facts
Quick Facts
| Attribute | Value |
|---|---|
| Developer | Greptile |
| Business Model | Freemium / Hybrid (Base + Usage) |
| Pricing | Freemium; base + usage model introduced March 5, 2026 |
| Platforms | Web, API, GitHub, GitLab |
| API Available | Yes |
| Integrations | GitHub, GitLab, Jira, Linear, Google Docs, Notion, Claude Code, OpenAI Codex, Conductor, Cursor, Devin |
| Compliance | SOC2 Type II, HIPAA |
| Data Retention | 30 days (post-termination/expiration, with immediate deletion option) |
| User Data Training | Opt-in |
features
Key Features of Greptile
Greptile offers a suite of features designed to automate and enhance the code review process, leveraging advanced AI capabilities and deep codebase understanding.
- 1Automated pull request reviews with full codebase context understanding.
- 2AI-driven analysis for bug detection, anti-patterns, security oversights, and style violations.
- 3Click-to-accept fix suggestions provided directly within pull requests.
- 4Integration with GitHub and GitLab for streamlined PR analysis.
- 5API availability for building custom integrations and internal developer tools.
- 6Compliance with SOC2 Type II and HIPAA standards, with an opt-in policy for user data training.
- 7Generation of descriptions and instructions for project management tickets (Jira/Linear) with codebase context.
- 8TREX (Test Generation) agent for writing and running tests in a sandbox for every PR.
- 9Multi-model architecture, including NVIDIA Nemotron 3 Ultra, for senior-level code review.
- 10Long-term memory for the code review agent to learn and adapt to company-specific coding idiosyncrasies.
use cases
Who Should Use Greptile?
Greptile is designed for various roles within software development organizations seeking to improve code quality, accelerate development cycles, and enhance team efficiency through AI-powered tools.
- 1Software Engineers and Developers: For automated code reviews, faster bug detection, receiving precise fix suggestions, and understanding code within the codebase.
- 2Software Teams: To accelerate pull request merging, enforce consistent code quality, reduce manual review overhead, and integrate with existing project management tools like Jira and Linear.
- 3Technical Leads and CTOs: For maintaining high code standards, improving team productivity, leveraging codebase intelligence for strategic insights, and ensuring compliance with security and data handling policies.
- 4Developers Building Custom Tools: Utilizing the Greptile API to build bespoke integrations and internal developer tools that leverage codebase context.
- 5Project Managers: For generating detailed descriptions and instructions for project management tickets (Jira/Linear) with full codebase understanding.
pricing
Greptile Pricing & Plans
Greptile operates on a freemium model, providing access to its core functionalities. On March 5, 2026, Greptile transitioned to a base + usage pricing model, replacing previous structures. Specific details regarding the base pricing and usage rates are available upon inquiry. The API has a rate limit of 100 requests per hour per IP for HTTP/JSON-RPC Mode.
- 1Freemium: Includes a free tier with unspecified limitations.
- 2Base + Usage Model: Introduced March 5, 2026; specific pricing details for base and usage are available by contacting Greptile.
competitors
Greptile vs Competitors
Greptile competes in the AI code review market against several established and emerging solutions, each with distinct differentiators.
1
Provides industry-leading context-rich AI code reviews by pulling in dozens of data points from the codebase, including user intent, file dependencies, and past PRs.
Similar to Greptile, CodeRabbit focuses on deep codebase understanding and offers AI-generated fix suggestions, but it also emphasizes filtering low-value comments to maintain a high signal-to-noise ratio.
2
AWS CodeGuru Reviewer↗
Leverages machine learning models trained on millions of lines of code from Amazon and open-source projects to provide automated code reviews for Java and Python.
CodeGuru Reviewer offers automated code reviews and recommendations directly within pull requests, similar to Greptile, but it is specifically integrated within the AWS ecosystem and primarily supports Java and Python.
3
Specializes in AI-driven static application security testing (SAST) and semantic code analysis, providing real-time feedback and one-click fixes for security vulnerabilities and quality issues.
While both offer AI code review and fixes, Snyk DeepCode AI has a stronger emphasis on security vulnerabilities and integrates deeply with the broader Snyk security platform, whereas Greptile focuses more broadly on code quality and logic issues with full codebase context.
4
Qodo↗
A PR-native AI code review platform that reasons across file boundaries and produces structured findings, aiming to catch bugs that pass human review and tests.
Qodo, like Greptile, is designed for automated PR reviews with deep contextual understanding. Qodo emphasizes catching critical bugs and enforcing consistent standards across high-volume PRs, and its open-source legacy project PR-Agent is also available.
❓
Frequently Asked Questions
+What is Greptile?
Greptile is an AI code review agent tool developed by Greptile that enables software engineers and development teams to automate pull request reviews with full codebase context. It identifies issues and suggests fixes, aiming to accelerate merging and improve code quality.
+Is Greptile free?
Greptile operates on a freemium model, offering a free tier. On March 5, 2026, it transitioned to a base + usage pricing model, with specific details available upon inquiry.
+What are the main features of Greptile?
Greptile's main features include automated pull request reviews with full codebase context, AI-driven bug detection and fix suggestions, integration with GitHub and GitLab, an available API for custom tools, and compliance with SOC2 Type II and HIPAA standards. It also offers a TREX agent for automated test generation and supports generating descriptions for project management tickets.
+Who should use Greptile?
Greptile is primarily intended for Software Engineers, Developers, Software Teams, Technical Leads, and CTOs who aim to automate code reviews, improve code quality, accelerate pull request merging, and leverage codebase intelligence for development workflows and project management.
+How does Greptile compare to alternatives?
Greptile differentiates itself from competitors like CodeRabbit, AWS CodeGuru Reviewer, Snyk DeepCode AI, and Qodo through its comprehensive 'code graph' for deep codebase understanding, multi-model AI architecture including NVIDIA Nemotron 3 Ultra, and its focus on learning team-specific coding idiosyncrasies. While competitors may specialize in areas like security (Snyk) or specific languages (AWS CodeGuru), Greptile offers a broad, context-aware AI code review solution.
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