Getonboard
Greptile AI is an intelligent tool designed to provide expert insights into any codebase. It has the capacity to answer questions regarding the codebase, review...
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What is Getonboard?
Getonboard.dev is an AI‑powered tool that lets developers quickly understand and navigate unfamiliar codebases by turning any GitHub repository into a chat‑based subject‑matter expert. You simply paste a GitHub repo link and then ask natural‑language questions about where functionality lives, how components interact, and what changes to make, and the tool returns answers grounded in the actual code. It is designed to cut onboarding time for new team members, supercharge contributions to open‑source projects, and simplify debugging and refactoring in large codebases.
Key features include GitHub integration so you can sign in with your GitHub account and grant access to specific repositories, question‑based search across the entire codebase, and AI‑assisted code navigation that can locate specific features, trace call paths, and suggest where to modify code. The tool also supports SOC2‑compliant, secure contexts and can handle pull requests and code reviews by analyzing proposed changes in relation to the existing code.
Getonboard is primarily for software engineers, open‑source contributors, and engineering teams who frequently encounter large or poorly documented codebases. It is especially useful for new hires ramping up on a project, candidates exploring real‑world repos before interviews, and maintainers who want a faster way to audit or explain their codebase structure to others.
Getonboard pricing
Pricing model: Free
The tool offers a free tier that allows users to chat with public GitHub repositories under approximately 100 MB, with no cost for basic exploration and Q&A. Paid plans provide higher limits on repository size and number of queries, extended access to private repositories, and additional features such as team‑level permissions, enhanced PR‑review capabilities, and priority support, but exact tiers and prices are listed on the website rather than as concrete labeled plans.
Getonboard pros
- Turns any GitHub repo into an AI subject‑matter expert
- Reduces time to understand large, unfamiliar codebases
- Supports natural‑language questions about code structure and behavior
- Integrates directly with GitHub for easy repo access
- Helps new team members onboard faster
- Simplifies contribution to open‑source codebases
- Locates specific features and endpoints in code
- Explains how different components interact
- Suggests where in the code to make changes
- Supports PR‑level and code‑review‑style analysis
- SOC2‑compliant and security‑oriented context handling
- User‑friendly, chat‑style interface
- Works for both public and some private GitHub repos
- Cuts documentation overhead by answering ad‑hoc questions
- Extends developer productivity without replacing human judgment
Getonboard cons
- Currently limited mainly to GitHub repositories
- No full offline mode; requires cloud access
- May not support very large repos beyond certain size limits
- Effectiveness depends on the quality of the underlying AI model
- Some advanced debugging or runtime behavior still requires manual inspection
- Limited support for non‑Git or self‑hosted version‑control systems
- Potential latency when first indexing a big repository
- Free tier may cap usage or repo size for heavy teams
Frequently asked questions about Getonboard
What kinds of repositories can I use with Getonboard?
You can use any public GitHub repository, and many private GitHub repositories if your account is granted access. The tool is designed to index and answer questions about codebases hosted on GitHub, so you copy the GitHub link, connect through your GitHub account, and start asking questions about the code.
How does Getonboard understand my codebase?
After you paste a GitHub repo link, the tool indexes the files in that repository and builds a context that the AI model can query. When you ask questions, the AI retrieves relevant code snippets and structural information, then generates explanations, traces flows, and suggests locations for changes.
Can I use Getonboard for code reviews and pull requests?
Yes, you can use Getonboard to analyze pull requests and proposed changes by asking questions about what a PR changes, how it affects existing code, and whether it matches patterns elsewhere in the repo. The tool can surface inconsistencies, highlight potential side effects, and help you review patches more efficiently.
Is my code secure when using Getonboard?
The service is built with security in mind and advertises SOC2‑compliant practices for handling code context. Access to private repositories is controlled through GitHub permissions, and the platform is designed so that only authorized users can query a given repo, minimizing exposure of sensitive code.
Does Getonboard work for non‑English repositories or documentation?
The tool can analyze code and comments in any language present in the repository, but natural‑language explanations and suggestions are generated in English. Multilingual codebases still benefit from structural insights, even if documentation or comments are not in English.
Can I generate new code or only ask questions?
You can both ask questions about existing code and request new code snippets within the context of the repository. For example, you can ask it to generate a new API endpoint, migration script, or test file that follows the project’s patterns and then place it in the right directory.
Is Getonboard suitable for beginners or only senior developers?
It is useful for both beginners and experienced developers. Beginners can reduce the intimidation of large codebases by asking simple questions about where to make changes, while seniors can use it to quickly explore complex subsystems or verify architectural assumptions.
Does Getonboard support multiple programming languages?
The tool supports multiple programming languages because it indexes text and code from any GitHub repository, regardless of language. It can explain logic, imports, and patterns across common stacks like JavaScript, Python, Go, Rust, and others, as long as the code is on GitHub.
How does Getonboard handle very large monorepos?
The tool can handle large repositories, but performance and latency may depend on the size and complexity of the codebase. Extremely large monorepos may require additional configuration or may be partially indexed under certain usage tiers, especially on the free plan.
Can my team collaborate using the same repositories?
Yes, teams can share access to the same repositories by connecting their GitHub accounts and granting permissions consistently. Paid plans usually add team‑level controls, such as shared access policies, audit logs, and centralized billing for multiple members querying the same codebases.