With varying answers by the AI assistant even with the same underlying models, we have to come up with a max of approach. If multiple AI assistants agree on the approach, then go ahead with the change.
We probably need another wrapper for this to happen.
With time, each will start offering what the other does -- going towards homogenity so that they can provide all under one umbrella or stick to their niches if that is their strength -- on the consumer/enterprise scale. Just the enterprise too has a vast range of simple to complex environments. This makes one wonder, how the scale problem has been solved by the ones that handle complex codebase.
The ones that go with a tool that handles their simpler situation now, will have to plan for the transition to the one that can handle their code size growth in future.
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