Answering some of the questions that was raised.
Our goal with Kodezi is to become a centralized development platform for developers to use regardless of their experience or skill level. We realized early on the amount of autocomplete clones, and our goal from day 1 was to create an autocorrect/Grammarly-like approach to code debugging.
Original Post from 2021: https://news.ycombinator.com/item?id=29635354
In the next couple of months, we plan to release automated code debugging, merging, and automated PRs for Git, along with cloud integrations for Enterprises we are working with and a CLI for Kodezi. As well as a LLM for code debugging at scale.
Kodezi does not store your code; the data from file names we gather for our inference models use encryption.
Kodezi supports and debugs bugs of all nature, functional, syntax, logic, and more. We will have an overview of all types of bugs/errors Kodezi has been trained on to give users a better idea of solving issues.
Kodezi uses large parameter language models trained on a collection of natural and programming languages from various open-source places, along with Open Source LLMs like Bloom and CodeGen. Kodezi has been training data from open-source repositories and StackOverflow data since 2019.
Code productivity and learning have been our goals since day 1; not an auto-completion tool that does not allow new programmers to learn.