Gemini is great, when you have gitingested the code of pypi package and want to use it as context. This comes in handy for tasks and repos outside the model's training data.
5.1 Codex I use for a narrowly defined task where I can just fire and forget it. For example, codex will troubleshoot why a websocket is not working, by running its own curl requests within cursor or exec'ing into the docker container to debug at a level that would take me much longer.
Claude 4.5 Opus is a model that I feels trustworthy for heavy refactors of code bases or modularizing sections of code to become more manageable. Often it seems like the model doesn't leave any details out and the functionality is not lost or degraded.
Gemini is great, when you have gitingested the code of pypi package and want to use it as context. This comes in handy for tasks and repos outside the model's training data.
5.1 Codex I use for a narrowly defined task where I can just fire and forget it. For example, codex will troubleshoot why a websocket is not working, by running its own curl requests within cursor or exec'ing into the docker container to debug at a level that would take me much longer.
Claude 4.5 Opus is a model that I feels trustworthy for heavy refactors of code bases or modularizing sections of code to become more manageable. Often it seems like the model doesn't leave any details out and the functionality is not lost or degraded.