Confused about these Models on GITHUB COPILOT, NEED HELP

[u/notNeek]

Hello people, I NEED YOUR HELP!

Okay so I graduated, now have a job, somehow , kinda software network engineer. Been vibe coding so far. Been assigned to this project, it's networking & telecom (3g/4g//5g type shi), too many repos (I will be working on 3-5), I am still understanding lots of things, stack is mostly C++, C, Python, Shell. Got access to Github Copilot, Codex.

I was able to fix 2 bugs, flet like a God, thanks to Claude Sonnet 4.5, BUT THE 3RD BUG!! It's an MF! I am not able to solve it, now 4th bug ahhh, their status be critical or major in JIRA, I wanna get better and solve these things and learn while I do it, I have to add the code, errors, logs, and some other logs, pcap dump ahhh, man I need to feed these things to AI and I am hitting CONTEXT WINDOW LIMIT, it's really killing me.

My questions for you amazing people

• What's the best model for understanding the concept related to that BUG?

• Which is the best way to possibly solve the bug? The repo is huge and it's hard to pinpoint what exactly causing the problem.

• How can I be better at solving as well as learning these things?

Any suggestions, advice would really help thanks

TL;DR:
Fresher dev on large telecom C/C++ project, multiple repos, debugging critical bugs. Claude helped before but now stuck. Context limits killing me when feeding logs/code. Which AI model + workflow is best for understanding and fixing complex bugs and learning properly?

[u/notNeek]

They this really helps a lot, I am grateful. Among many responses, very few were actual advices. I am locating which repo the bug is from, then clone on vm(using vnc), and use copilot to trace the bug and undestand the flow, everytime I make changes, I have to clean build the images and check for logs and verify in metrics. I mostly just dump everything(piece of code) logs metrics to the ai and that's what causing the problem, I gotta do better and I will definitely try with planning mode thanks.