OpenAI API Platform vs. Swiftify

For smaller organizations that run lean and would like to get to deploy a solution quickly. This is a solution that is easy and quick to develop. It has a good amount of customization. However, for advanced customization this might not be a good solution. I suggest experimenting with OpenAI API and then if the experimentation is successful then it is a good idea to optimize and try other LLM models.

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It is recommended to use Swiftify in any situation that requires iOS development because even if you develop just in Swift or just in Objective-C, it could be helpful for researching and investigating purposes. Additionally, if you need to convert big quantities of code from Objective-C to Swift, this tool will optimise that work. It will not translate a whole class of 2000 lines perfectly, but after converting it you can review the code and modify the lines that have not been properly converted, making you save more than the 50% of the time in that case. I've not been able to test it properly as I only used the trial version and it is really limited.

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• The developer experience is top notch. Their SDKs are super easy to use
• Organization and project billing separation. You know where everything was consumed.
• Playground. The playground is super useful to prototype without writing a single line of code

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• Helps to prevent redoing the whole code.
• Sometimes it is hard to find the exact command of Obj-C in swift.
• It helped me to learn more :)

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• Restrictions are sometimes too strong

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• Sometimes the conversion doesn't make much sense. The Swift conversion doesn't compile, or is not optimized.

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Easy to setup, develop and deploy. The payload for the API is simple and has all the inputs required for simple projects. There are a good number of options of LLM models to optimize for speed, cost or quality of the answers. A larger token input might improve the overall usability.

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I don't have any problems with the platform. I like that their email responses are fast.

Anthropic is only the best for coding and its really really expensive. So, if you're not making a coding app, I would stay away from it. On the other hand, Gemini models are dirt cheap but come with a bit of performance limitations, so i would use it for big volume non sofisticated use cases. The OpenAI API platform excels at providing best in class performance models, at not outrageous anthropic-like pricing.

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There's not much to compare - we haven't found any proprietary like it. Existing OpenSource solutions are unmaintained and Swiftify supports the latest versions of Swift.

• Big question about functionality

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• For now the impact has been small, considering that I used the trial version, it was helpful for small conversions. Summarising: Saving time on researching process

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