@sriramk we built what you are looking for while doing work large scale production work for the frontier labs. check out https://t.co/CH2Yo5z7gr
happy to provide a demo for you personally. it's in preview starting this week. DM me if you want access and a large amount of free tokens
Step-by-step instructions on how to run PyTorch, TensorFlow, and JAX on your Mac.
If you have an Apple computer (M1, M2, or M3), this video will make you happy.
@svpino Hey 👋, one of the Cover-Agent creators here.
I've recorded 5 minutes video explaining and reviewing TestGen-LLM and Cover-Agent:
https://t.co/AJAxPXMqiC
The first open-source implementation of the paper that will change automatic test generation is now available!
In February, Meta published a paper introducing a tool to automatically increase test coverage, guaranteeing improvements over an existing code base.
This is a big deal, but Meta didn't release the code.
Fortunately, we now have Cover-Agent, an open-source tool you can install that implements Meta's paper to generate unit tests automatically:
https://t.co/2KFrvhR9OI
I recorded a quick video showing Cover-Agent in action. There are two things I want to mention:
1. Automatically generating unit tests is not new, but doing it right is difficult. If you ask ChatGPT to do it, you'll get duplicate, non-working, and meaningless tests that don't improve your code. Meta's solution only generates unique tests that run and increase code coverage.
2. People who write tests before writing the code (TDD) will find this less helpful. That's okay. Not everyone does TDD, but we all need to improve test coverage.
There are many good and bad applications of AI, but this is one I'm looking forward to make part of my life.