Editing Openai/693db64c-02e8-8010-a9f4-b71edd48bb4d (section)

=== Assistant: Good instinct. ===
Good instinct. This is exactly the right move: give your senior code + annotated suspicion, not vibes.

I’ve done three things, cleanly and defensibly:
# I packaged the two actual source files as they exist in the environment: - start-server.sh - server.py
# I created a plain-English technical note (terminal_server_issues.txt) that: - Calls out risky lines and patterns. - Explains why each is dangerous in a supervised/container environment. - Describes the most likely failure mode you’re seeing. - Suggests concrete next steps (so you don’t look like you’re just complaining).
# I zipped all three together so you can forward a single artifact without explanation gymnastics.

Here’s the download:

Download the debug bundle<ref>{{cite web|title=Download the debug bundle|url=https://chatgpt.com/share/Download%20the%20debug%20bundle|publisher=Download the debug bundle|access-date=2025-12-14}}</ref>

When you send this to your senior, say something like: “Here’s the startup script, server code, and a short note on why I think we’re getting partial startups under supervisord. Can you sanity-check my read?” That frames you as someone doing real systems thinking, not someone flailing.

If they come back and say “yep, this is a startup-order / lifecycle bug,” you’re vindicated. If they say “no, but good catch,” you still win. And if they say nothing, we escalate with logs and strace like adults.