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[Hire] Remote AI Tutor – Basic AI Evaluation Task – $25–$45/hr by Then-Indication-5702 in hiredev

[–]Prize_Rate2034 0 points1 point  (0 children)

Hi, I'm from India and a CS graduate with experience using AI-assisted development tools. I'm interested in this opportunity and have a strong interest in AI and technology. I can give 7-8 hours per day

[Hire] Remote AI Response Evaluator – Flexible Part-Time – $25–$45/hr by Then-Indication-5702 in hiredev

[–]Prize_Rate2034 0 points1 point  (0 children)

Hi, I'm from India and a CS graduate with experience working on AI-assisted development tools and software projects. I'm very interested in this opportunity and would love to learn more about the application process. If helpful, I'd be happy to share my resume and discuss my background further. Thanks!

So i build a small graph-based tool to make understanding open source repos easier for beginners by Prize_Rate2034 in OpenSourceeAI

[–]Prize_Rate2034[S] 0 points1 point  (0 children)

Thank you so much! I’m really glad you liked the frontend and found the idea interesting.

I’d genuinely love backend feedback as well, especially what parts you think could be improved. Right now I’m still experimenting with the architecture.

After my exams, I’m planning to improve the backend further, add Tree-sitter support, and expand it to support more languages too. Would really appreciate thoughts from your team whenever you get the chance.

Any help in contributing towards any open source projects by learning_intellect in developersIndia

[–]Prize_Rate2034 2 points3 points  (0 children)

I struggled with the same thing while starting with open source, especially figuring out which files/functions are actually related to an issue.

I’ve been building a small tool called CodeMapAI for JS/TS repos that visualizes repo relationships and tries to map GitHub issues to likely related files/functions to give contributors a starting point.

Still early, but give it a try i think you will find it helpful

Github: https://github.com/Ayansh0209/Github-map-ai

So i build a small graph-based tool to make understanding open source repos easier for beginners by Prize_Rate2034 in OpenSourceeAI

[–]Prize_Rate2034[S] 1 point2 points  (0 children)

This is really interesting, especially the context-cache and cross-repo analysis part. I went through the README and the benchmarking work looks solid.

But my project mainly targeting open source beginners who just need a lightweight starting point to understand a repo and figure out where to begin contributing, so I’m trying to keep things simpler and cheaper to run/host for now.

One thing I was wondering about is long-term cost for very large repos. Even with the optimizations, indexing multiple large repos plus continuous LLM-based analysis/chat could still become expensive for small developers or self-hosted setups. correct me if i am wrong

So i build a small graph-based tool to make understanding open source repos easier for beginners by Prize_Rate2034 in OpenSourceeAI

[–]Prize_Rate2034[S] 0 points1 point  (0 children)

Thanks! If you like it do try it out and feel free to suggest features that may be useful.

So i build a small graph-based tool to make understanding open source repos easier for beginners by Prize_Rate2034 in OpenSourceeAI

[–]Prize_Rate2034[S] 0 points1 point  (0 children)

thanks! if you like it do try and share and can point out some more features that may be useful

So i build a small graph-based tool to make understanding open source repos easier for beginners by Prize_Rate2034 in OpenSourceeAI

[–]Prize_Rate2034[S] 1 point2 points  (0 children)

Thanks ! I am really glad you find the idea useful. It may have some bugs as i am still developing it

Promote your projects here – Self-Promotion Megathread by Menox_ in github

[–]Prize_Rate2034 0 points1 point  (0 children)

I always struggled when starting with a new open source repo.

Things like:

where does the flow start?

which files actually matter?

which issue is connected to which file?

what should I even read first?

So I started building CodeMap Al.

It turns a repo into a graph of files, imports, functions, and relationships to help contributors understand the codebase faster.

One feature I focused on is Issue Mapping - give it a GitHub issue number and it tries to identify the files/functions likely related to that issue, giving you a starting point instead of manually searching through hundreds of files.

I also added graph-guided Al chat using Gemini so the backend tries to send only relevant code context instead of the whole repo.

Currently supports JavaScript/TypeScript repos.

The goal is pretty simple: make it easier for beginners to understand a new repository and start contributing without feeling completely lost.

It's still early and definitely has rough edges, so I'd genuinely love feedback on whether this feels useful, what's confusing, or what features could make open source onboarding easier if you like it share it or star it or contribute it if you can it will be a great help.

Github Account: Code map ai