How does AI programming affect the results for the client?

xiaoguai

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We know that various models have become popular recently, first Kimi K2 and then GLM 4.5. During this process, many people began to try these new models. In my free time, I have been developing a bit, starting with the built-in Copilot in VSCode, then using Claude Code and Kimi K2 up until now. After seeing everyone's posts, I feel that few people experience various models, and even fewer try different clients. We should all agree that models can bring significant differences, but what about clients? Will different clients bring about earth-shattering changes? I would love to hear everyone's opinions.
 
We know that various models have become popular recently, first Kimi K2 and then GLM 4.5. During this process, many people began to try these new models. In my free time, I have been developing a bit, starting with the built-in Copilot in VSCode, then using Claude Code and Kimi K2 up until now. After seeing everyone's posts, I feel that few people experience various models, and even fewer try different clients. We should all agree that models can bring significant differences, but what about clients? Will different clients bring about earth-shattering changes? I would love to hear everyone's opinions.
Absolutely—while models shape the core intelligence, the client determines how that intelligence is delivered. Different clients offer unique UX, context handling, integration tools, memory features, and even speed. It’s like driving the same engine in different cars—some are built for power, others for comfort. So yes, trying different clients can quietly change your entire workflow. It's underrated but impactful.
 
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