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Greptile

AI expert on your codebase that you can query via an API

Greptile reviews pull requests with full context of the codebase. Top YC companies like PostHog, Raycast, Vouch, Podium, and YC's own internal software team use Greptile to review millions of changes every week. When companies start using Greptile, they catch more bugs and merge PRs 4x faster, on average Greptile can be used via the cloud, or be hosted 100% on your cloud in an air-gapped VPC.
Active Founders
Daksh Gupta
Daksh Gupta

Daksh Gupta, Founder

Co-founder of Greptile - the AI code reviewer I studied CS at Georgia Tech, and interned at Amazon, where I was so good that they named an Amazon locker after me.
Soohoon Choi
Soohoon Choi

Soohoon Choi, Founder

cofounder@greptile
Vaishant Kameswaran
Vaishant Kameswaran

Vaishant Kameswaran, Founder

Founder @ Greptile. CS from Georgia Tech, minor in Linguistics.
Jobs at Greptile
San Francisco / Remote (US)
$140K - $180K
0.75% - 1.25%
1+ years
Remote
$7K - $15K
Any (new grads ok)
San Francisco / Remote (US)
$140K - $180K
0.75% - 1.25%
1+ years
San Francisco / Remote (US)
$140K - $180K
0.75% - 1.25%
1+ years
Greptile
Founded:2023
Batch:Winter 2024
Team Size:7
Status:
Active
Location:San Francisco
Primary Partner:Brad Flora
Company Launches
Greptile: AI expert that understands large codebases
See original launch post

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

PROBLEM

As software companies grow:

  1. Codebases get more complex.
  2. Legacy code and tech debt accumulates.
  3. Docs are usually outdated.
  4. Original engineers leave, and new engineers are less familiar with the code.

To get around this, developers:

  1. Just brute force their way to grokking the code - which is hard and time-consuming.
  2. Seek help from the subject matter expert, which is difficult if they have left, work remotely, or are just busy.
  3. Try to use tools like GitHub copilot, which are not designed to answer with full code context, so they fail to deliver.

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).

🦎 Greptile in action →

Here are some ways engineers use Greptile 👇

  1. Narek from Lantern (W24): grokking PostgreSQL’s source code, which Lantern is built on.
  2. Rahul from AgentHub (W24): parsing OSS frameworks that AgentHub integrates with.
  3. Jack Chapman from Cardinal Gray (S23): generating E2E test cases for multi-file services.
  4. Isaiah Granet from Bland AI (S23): integrating with the Twilio node SDK.
  5. SWE at Thera (S22): writing new features that require complex, multi-file changes.
  6. YC Medtech (S15): building an internal PR review bot on top of our API.
  7. SWE at Stripe (S09): debugging internal Rust libraries.
  8. Principal Engineer at Microsoft: reviewing his team’s code (open source).
  9. TMO (old B2B software company): working with their legacy .NET code.

ASK →

YC Sign Photo

Company photo
YC Winter 2024 Application Video
YC Winter 2024 Demo Day Video