AI Really Fix Production Bug! | Senior Engineer Debugs a real GitHub Issue with Claude & Antigravity
Автор: Ai Tech Made Easiy
Загружено: 2026-01-01
Просмотров: 4
📌 Links discussed:
Docling Issue #2800 (https://github.com/docling-project/do...)
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Can AI coding assistants really fix production bugs — or are they just fancy autocomplete tools?
In this video, I take a real GitHub issue from a production open-source project (Docling) — already reported by users and fixed by maintainers — and walk through how a senior backend engineer actually uses AI to debug it.
This is not a toy example.
No contrived demo.
No hand-wavy “AI magic”.
What you’ll see in this video:
How senior engineers read and classify bugs before touching AI
Using Claude inside VS Code to identify architectural fault lines
Turning AI into a reasoning partner, not a code generator
Finding the real root cause behind a user-reported defect
Comparing Claude’s fix with the actual merged PR
Re-running the same analysis using Google Antigravity
Why most “AI can code” demos miss the real point
Docling PR #2801 (https://github.com/docling-project/do...)
👍 Like, subscribe, and comment if you want deeper videos on:
Debugging distributed systems with AI
Architecture reviews using LLMs
AI-assisted code reviews and root-cause analysis
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