commandjobs VS autogen

Was able to try out Glide last night (https://glide.agenticlabs.com/task/IqHd0RV) with an open source repo (https://github.com/nicobrenner/commandjobs) and really liked it

Pros: it was kinda easy to get started, and Glide was able to figure out something that ChatGPT hadn't, which made a big difference, because I was about to have to rewrite a bunch of code otherwise

Cons: some things were not very intuitive, the chatting window is small and it's hard to copy text and read things in a slightly longer conversation - also wish it would just ingest the repo and figure out what to include in the context by itself, the method/section searching/selecting is tricky to use

All in all I'm very excited about what Glide can do and look forward to seeing its evolution

Thank you for building such amazing tool

Hi HN! I recently built a cli tool that uses AI to find job matches for software engineers (https://github.com/nicobrenner/commandjobs)

Someone on HN suggested (https://news.ycombinator.com/user?id=azophy_2) I should host the application via SSH, so that anyone could just do: ssh commandjobs.com

I thought that was super cool, but after doing some googling, I can't find any good resources on how to host command line applications via ssh

Would really appreciate any links or information you could provide on how to do it

Thank you

Excellent, thank you so much for the links, it's super interesting

It should be pretty straightforward to create a scraper for one of those portals

If you feel like taking a crack at it, checkout the code of the Ask HN who's hiring scraper here: https://github.com/nicobrenner/commandjobs/blob/47b5c89402a3...

I added a comment under the Add Sources issue, to support Workday's career portals: https://github.com/nicobrenner/commandjobs/issues/23#issueco...

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