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My problem with 5. is that there are many unknowns, especially when it comes to agents. They have wildly different system prompts that are optimized on a daily basis. I’ve noticed that Gemini 2.5 Pro seems way dumber when used in the Copilot agent, vs me just running all the required context through OpenRouter in Continue.dev. The former doesn’t produce usable iOS tests, while the latter was almost perfect. On the surface, it looks like those should be doing the same thing; but internally, it seems that they are not. And I guess that means I should just use Continue, but they broke something and my workflow doesn’t work anymore.

And people keep saying you need to make a plan first, and then let the agent implement it. Well I did, and had a few markdown files that described the task well. But Copilot‘s Agent didn’t manage to write this Swift code in a way that actually works - everything was subtly off and wrong, and untangling would have taken longer than rewriting it.

Is Copilot just bad, and I need to use Claude Code and/or Cursor?



> Is Copilot just bad, and I need to use Claude Code and/or Cursor?

I haven't used Claude Code much, so cannot really speak of it. But Copilot and Cursor tends to make me waste more time than I get out of it. Aider running locally with a mix-and-match of models depending on the problem (lots of DeepSeek Reasoner/Chat since it's so cheap), and Codex, are both miles ahead of at least Copilot and Cursor.

Also, most of these things seems to run with temperature>0.0, so doing multiple runs, even better with multiple different models, tend to give you better results. My own homegrow agent that runs Aider multiple times with a combination of models tend to give me a list of things to chose between, then I either straight up merge the best one, or iterate on the best one sometimes inspired by the others.


I never ever use agents for coding. Just the web interface of Gemini, Claude, ..., you are perfectly right that agentic coding just creates a layer of indetermination and chaos.




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