Getonboard takes the mystery out of jumping into a new repo. With a single click you clone a GitHub project and start chatting with an AI that has already read every file. The result? You get instant answers about structure, functions, and even hidden auth flows without scrolling through endless folders.
1. Quick Q&A search - type a natural question and the bot pulls the exact code snippet.
2. Repo-wide context - the AI keeps the whole project in mind, so answers are accurate and not just random snippets.
3. Privacy-first - it never stores your code after analysis, and it's SOC2 Type II compliant.
4. Fast indexing - even a 200-file Flask app loads in minutes, not hours.
5. GitHub login integration - no extra setup, just the credentials you already use.
6. Team-friendly (basic) - share a chat link with teammates, but full collaboration is still in beta.
7. Unlimited queries on paid plans - free tier limits you to a handful of questions.
8. Multi-language support - works with Python, JavaScript, TypeScript, Go, and more.
9. Custom prompts - tweak the AI to focus on architecture or security.
10. Real-time updates - as you push commits, the AI refreshes its index automatically. Developers, product managers, and open-source contributors all find value here. New hires can skip the long read-me slog and dive straight into the code. Senior devs can review PRs faster by asking the bot to explain a function's purpose.
Open-source maintainers can surface hidden bugs or missing documentation by querying the codebase. Compared to generic IDE search or large-language-model chatbots, Getonboard stays grounded in your actual repository. It cuts hallucination risk and delivers context-aware answers that are immediately actionable.
Plus, the UI is a one-page chat, so you don't have to learn a new IDE plugin. Ready to stop hunting for a function in a maze of files? Sign up with GitHub, paste a repo link, and ask your first question. You'll see how fast the AI can turn a stack of code into a clear roadmap.
1. Quick Q&A search - type a natural question and the bot pulls the exact code snippet.
2. Repo-wide context - the AI keeps the whole project in mind, so answers are accurate and not just random snippets.
3. Privacy-first - it never stores your code after analysis, and it's SOC2 Type II compliant.
4. Fast indexing - even a 200-file Flask app loads in minutes, not hours.
5. GitHub login integration - no extra setup, just the credentials you already use.
6. Team-friendly (basic) - share a chat link with teammates, but full collaboration is still in beta.
7. Unlimited queries on paid plans - free tier limits you to a handful of questions.
8. Multi-language support - works with Python, JavaScript, TypeScript, Go, and more.
9. Custom prompts - tweak the AI to focus on architecture or security.
10. Real-time updates - as you push commits, the AI refreshes its index automatically. Developers, product managers, and open-source contributors all find value here. New hires can skip the long read-me slog and dive straight into the code. Senior devs can review PRs faster by asking the bot to explain a function's purpose.
Open-source maintainers can surface hidden bugs or missing documentation by querying the codebase. Compared to generic IDE search or large-language-model chatbots, Getonboard stays grounded in your actual repository. It cuts hallucination risk and delivers context-aware answers that are immediately actionable.
Plus, the UI is a one-page chat, so you don't have to learn a new IDE plugin. Ready to stop hunting for a function in a maze of files? Sign up with GitHub, paste a repo link, and ask your first question. You'll see how fast the AI can turn a stack of code into a clear roadmap.
