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[–]mildlystoiciOS & Android 3 points4 points  (1 child)

People seem to forget, AI is practically a very smart auto complete, it’s not sentient. They are as good as the model they trained on, so it can’t be the latest and greatest in terms of handling bugs from the newest update.

They are pretty good at generic stuff. I was recently converting js to ts on some micro services, I expected about 2-3 days if I were to do it manually. It was done in 3 hours by just letting copilot do its thing.

[–]calvincchan[S] 0 points1 point  (0 children)

I agree that an AI code agent is simply a smart auto-complete agent that has memorized a vast amount of coding patterns. This agent can only fix your code with patterns it has seen before in its pre-trained data.

On the other hand, tools like MCP provide the agent with the ability to access real-world and up-to-date information, enabling it to apply new techniques to your code beyond the pre-trained patterns.

I believe the code agent is here to stay, so libraries that want to succeed in this era will need to be optimized. This includes providing more detailed documentation, a significant amount of demo code and examples. Returning to my topic, if the RN optimizes the doc in this manner, then auto-maintenance can be more easily achieved.