Unreliable, considering moving our team to Claude Code instead

[Plasma]

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I’m currently considering moving our team to Claude Code due to the increasing unreliability of GitHub Copilot. It frequently makes basic logic errors or "gives up" halfway through tasks, suggesting that cost-optimization is being prioritized over model intelligence.

Most recently, it claimed to fix an issue in a PR but simply deleted the code instead. For a paid service, we need consistent access to the smartest models available without silent downgrades.

Is anyone else experiencing the same?

[midiakiasat]

Yes, you’re not alone. Quality volatility is real.

We’ve observed incomplete fixes, logic regressions, and “delete-to-pass” patches. That’s rarely incompetence; it’s usually model routing, token limits, or cost-optimization tradeoffs that aren’t visible to users.

That said, switching vendors won’t inherently solve it. Any LLM with direct write access and weak guardrails will eventually produce destructive edits.

If this affects production, treat it as a governance issue, not a model issue:

• No direct auto-apply without human diff review
• CI gates for large deletions or semantic regressions
• Enforced test coverage before merge
• Pin explicit model versions when using APIs

Model quality matters.
Control surfaces matter more.

[pratikrath126]

Thanks for sharing your feedback. If you are experiencing reliability issues, could you provide more details? Are you referring to GitHub Actions, Copilot, or another service? For Actions, check your workflow logs and usage limits. For Copilot, ensure you have a stable internet connection. If you are considering alternatives, Claude Code is indeed an option, but each tool has strengths. Let us know specific pain points so the community can help.

[dbuzatto]

I understand the frustration — especially for a paid team plan.

A few things to consider:

• Copilot may route requests differently depending on context size, feature (chat vs PR), or system load. That can feel like inconsistent model quality.
• If it deleted code while fixing a PR, it may have misinterpreted context or not seen the full file. Being explicit (e.g., “do not remove unrelated code”) and working with smaller diffs can help.
• Reliability matters more than raw model intelligence for team workflows.

Before switching, it may be worth:

• Confirming your org’s Copilot tier (Business vs Enterprise)
• Checking if certain features are in preview
• Sharing concrete failing examples with support

If consistency is critical, benchmark both tools on the same real PR tasks before deciding.