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For the network engine, 40% of the code is all Copilot, and that has been the case since I first started using it in ~2022. You're right that Copilot cannot handle some tasks, but it does handle some tasks very well. Different models on Copilot have different strengths, like Gemini 2.5 Pro is good at refactor and bug hunting, Claude Sonnet is simply good at code understanding and generation, while GPT-5 is a step up from GTP-4 for agentic tasks.
A genuine concern. We only use Copilot integrated with GitHub Issues only for straight forward tasks (what they call "good first time issue"). Not for everything. Especially, not for features. |
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I am doubting the usefulness of ai to review and create code. For me these tools never created anything useful that compiles and usually is far more complicated than necessary.
Instead of undermining the developers credibility and skills and the projects reputation, you should turn this copilot stuff off and don't let it clutter issues and repositories.
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