Have you ever wanted to learn about AI but felt lost about where to start? Don't worry - you're not alone! Many people want to learn about AI tools...
For further actions, you may consider blocking this person and/or reporting abuse
I am very much interested in contributing to open source and learning from the community and giving something back. And your advice about not overthinking and just getting started (actions) works wonders.
I wanted to ask as to how you suggest a beginner should approach these projects. Most people suggest working on good first issue tagged issues and starting a pull request.
But most projects don't have many good first issues to begin with. Mostly there are feature enhancements, bugs and feature requests. Only a portion are GFI or docs, which facilitate beginners and understanding the overall flow of the project.
What would you comment regarding this?
The best way to get started would be first:
hmm, thats interesting. I will try this soon.
Plus, do you recommend that a beginner should start with some 'easier' projects or should one just try to work on the most starred github repo or most used project or one that the person uses themselves?
Imagine if you were to join FAANGMULA+ like companies where the codebase is large and complex with lots' of people working on it. You don't get a choice to start small over there.
However I'd say, pick one that interests you instead of targeting the most starred. Maybe start with something like OpenBB or any dashboard like application. Or even a terminal based only app.
Great work π₯ OpenBB was new to me and I wonder if someone even use AI hawk agent since it has 22k+ stars on github.
Open BB codebase is a great way for learning about Dashboards. (There would be more like this) AI Hawk is a recent addition to GitHub nice tool.
This is a fantastic list!
Thank you for mentioning Postiz!
Thanks, Postiz is amazing! π€©
Thank you for the list.
: )
You're welcome.
Thanks for providing useful resources and the final part of practicing is best β€οΈβπ₯
You're welcome π
Yes indeed, I'll share with you the practice of ultralearning.
Read the articles here: scotthyoung.com/blog/articles/
I am very glad ! I am very thankful for sharing great learning resource for me π€
Thanks for sharing these open source projects.
Great list ,keep it up
Thanks
Great list! Inspirational! Thank you! Now I just need more time to learn/play with all this fascinating stuff. Buh-bye sleep! ;)
Thanks π
Love this!
thanx
Iβd like to introduce Checkmate, our server and infrastructure monitoring tool. In just four months, weβve grown to 600+ stars and 30 contributors! We pride ourselves on being a contributor-friendly community. If youβre familiar with React.js, Node.js, and MongoDB, weβd love to have you join us.
Plus, our code reviews are fast and efficient! π
Together Again feels like an emotional rollercoaster. There are moments of joy, sadness, and triumph that hit you unexpectedly. Itβs rare for a game to make me feel so connected to the characters, but Together Again pulls it off effortlessly. The cooperative mechanics are fun and offer plenty of replayability, but it's the story and character arcs that really make it stand out. Itβs clear the developers put a lot of love and thought into every detail.
Learn by doing is the most effective and long lasting approach. Thanks for sharing your insights!
Waooo, I have learnt a lot from open source
π good for you mate!
Definately "Learning by Doing" is the best way of Learning.
Yes! Also check Ultralearning: scotthyoung.com/blog/articles/
Blogs by the author to know more.
Thanks for the resource β¨
You're welcome π₯
I hope it helps you in your learning journey! π
dev.to/hanzla-baig/the-ultimate-an...
Nice article π₯
Hey folks, came across this post and thought it might be helpful for you! Rag In AI
Good post!
Thanks
Hey folks, came across this post and thought it might be helpful for you! Rag In AI.
I really like this job and I always want to watch how the company develops!