using them in VSCode all the time for months now. Qwen from Alibaba Cloud, Deepseek from deepseek.com. none of them upload entirety of codebase or even attempt to.
replyin fact, opposite. Chinese AI seem to post-process heaviliy locally.
they are always using head / tail, grep, sed, and do as much as they can locally and extrac meaningful data and send home (AI inference chunks). only what is really needed.
it is actually hard to force Chinese AI modesl to read full files, they really do not want to see them. even 400 lines files, is usally hit first for first line, first 50 lines. and at most 200 lines chunk reads, and give up at one or two reads.
> none of them upload entirety of codebase or even attempt to.
replyHow do you know? Did you do an analysis like OP did?
no analysis. only based what I see in VSCode tool calls.
replyI'm not saying they are, but if they were, it probably wouldn't be in explicit tool calls shown to the user.
replyFor me, them allowing API usage on coding plans so we can use any harness, and returning the full unabridged reasoning back are how they earned my trust.
replysame here. API access + low price is why I am using Chinese models
replyThe second I opened Deepseek, it had my harness scan my entire home dir. Not sure what's worse here.
replyI use omp with Deepseek v4 Flash and Pro. Probably put about 20 million tokens through it. I've never seen this. US-hosted versions. Opencode Zen.
replyWeird. I have seen it asking the harness to do `find ~ -type f | grep` to try and find my agent configuration .json file when I asked it to add a MCP server. Stupid, but they weren't sending the files back home. This was with older models though. Newer ones are a bit smarter than that.
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