gpt-files-documentation VS antares

I've been working on a new project that I'd like to share with you all! I've created a generator that uses ChatGPT to create descriptions for entire projects or even just individual directories with files.

The generator works recursively, meaning that descriptions for directories are based on already generated descriptions for their child files and folders. This means we can create descriptions for projects with a lot of text, despite GPT's limited context size.

How it works: https://i.ibb.co/tsDV34t/68747470733a2f2f646f776e6c6f6164657...

Using these descriptions, which are not only understandable by humans but also by ChatGPT itself, we can build new helpful tools such as:

Smart file search: An intelligent search system that understands the context of your project and can help you quickly find the files or pieces of code you're looking for.

Project improvement ideas: By analyzing the generated descriptions, ChatGPT can suggest improvements or optimizations for your entire project, helping you take it to the next level.

Feature implementation guidance: The AI can determine which specific files need to be edited or modified to implement a new feature, streamlining the development process and making it more efficient.

The application features a command-line runnable engine as well as an Electron app. To make requests, you'll need an API Key.

The app - https://i.ibb.co/MZ2hgcw/localhost-8083.png

Repo - https://github.com/Kypaku/gpt-files-documentation

Feel free to report any bugs you encounter right here or on GitHub. Your feedback is much appreciated!

I've been using Antares (https://antares-sql.app/) and it's great except for some PostgreSQL databases it can't read tables, views etc inside schemas and sometimes its performance is slow because it seems it's wuering whole tables and storing results in memory/storage (?).

Antares is probably the youngest client from this list. It has distinctive visual style. It uses multiple databases, but one connection per window paradigm. You could switch between connections using left panel, which is in other tools (including VS Code) used for widget switching. It has quite good SQL dumping abilities for PostgreSQL and MySQL (ability to make SQL backup of database/selected tables), which is a bit problem for other tools. Also it utilizes (in)famous library faker.js, you could insert new rows with testing data. Antares is developed by Fabio Di Stasio.