dir-prompt VS autogen

I have a tiny command line program called `dir-prompt`[1] to format and copy to clipboard all the code in a directory to something that can be pasted into ChatGPT or Typingmind, but it is a huge issue that the AI will be too brief on the generated code snippets.

Glide is much more structured. I gave it a real test on one of my repos and it outlined something I would expect from a junior engineer who messed up a lot of little details- e.g. function names and parameters were slightly off. I think if there was a type evaluation step/it was typescript-specific it would match an engineer with 3-9mo of experience (great!). But it failed to match basic codebase conventions e.g. using require on a codebase that is all imports.

For the authors, I would recommend using GPT4-turbo and huge context windows, or have an option to upload an OpenAI key. GPT3.5 is just not worth it- and I do sort of suspect GPT4 isn't being used because of the speed of the output but I'm not sure.

[1] https://github.com/seveibar/dir-prompt

AutoGen is an AI framework by Microsoft designed to streamline multi-agent conversations. AutoGen allows agents to communicate, share information, and make collective decisions. This setup enhances the responsiveness and dynamism of conversations. Developers use AutoGen to tailor agents to specific roles, such as programmer, content writer, CEO, etc. This enhances their ability to handle tasks from simple queries to intricate problem-solving.

I am still playing around with the project but FYI, the parsing for the github repo URL at https://glide.agenticlabs.com/ will fail if there's a trailing slash in the repo link i.e. https://github.com/microsoft/autogen/ won't work but https://github.com/microsoft/autogen will.

New example notebook demoing video transcript translate with whisper.

New release: v0.2.1

I disagree with the conclusion. In software, I've seen 10x engineers in person and I don't think they're replaceable. Whereas, the new college grad or that entry level dev who doesn't design anything and just writes small amounts of code, doing exactly as told is replaceable by an AI. Frameworks similar to Microsoft Autogen(https://github.com/microsoft/autogen) can in theory build agents who can do these tasks with ease whereas a 10x engineer can focus on directing the agents and designing systems.

Microsoft autogen

CompressibleAgent (experimental) can be used to handle long conversations. Notebook: https://github.com/microsoft/autogen/blob/main/notebook/agentchat_compression.ipynb