Greptile is an AI that understands large codebases that you can query via an API. You can: - Use it to chat with your codebase - Plug it into Jira to generate descriptions for tickets, into GitHub to get automate PR reviews etc. with full knowledge of the codebase - Build custom internal tools and automations on top of the API! Greptile can used via the cloud, or be hosted 100% on your cloud in an air-gapped VPC. Today, 800+ software teams including Wombo, Metamask, Warp, Exa AI, Bland, Leya, and more use Greptile to accelerate their software development lifecycle.
Co-founder of Greptile - the AI expert that has full context of your codebase. I studied CS at Georgia Tech, and interned at Amazon, where I was so good that they named an Amazon locker after me.
founder@greptile
Founder @ Greptile. CS from Georgia Tech, minor in Linguistics.
Hi everyone! We’re Soohoon, Vaishant, and Daksh from Greptile. We are building the AI expert on any codebase.
tl;dr Greptile is an AI platform that lets LLMs understand large codebases. Teams and devs at 250+ companies including Stripe and Amazon use it to get answers to questions about large codebases via our web app, automatically update their docs, build PR review bots on our API, and more. Try it now → app.greptile.com
As software companies grow:
To get around this, developers:
In fact, the thing that makes coding hard is usually the codebase, not the code!
We found a way to index and search large codebases such that LLMs can always find the right context, allowing any developer to build internal developer tools powered by AI.
Here’s Felix from Twenty (open source CRM with 9k GitHub stars).
Here are some ways engineers use Greptile 👇
We have been working on projects together for over a year. We have been full-time since May 2023 (graduated college). We pivoted to this 3 days ago.
Update: We have been working on this for just under 2 months now.
AI assistant that helps devs onboard onto new, unfamiliar codebases, especially ones with bad or no docs. You give it a link to a repo, it generates docs for every file and directory, then lets you navigate and understand the code by asking questions in a chat interface.
An example of a question is "Where is the code that inserts stuff into the user database?" and the AI takes you to the specific file and explains how it works.