tencent/Hy3. New Apache 2.0 licensed model from Tencent in China
The [Bun rewrite] blog post is ... almost like the marketing department of a trillion dollar company has a lot of money riding on this article ...
There's a dichotomy being presented here where you have to either choose a "style guide" or a programming language feature in order to avoid bugs. The sleight of hand misdirects the reader away from the main way bugs are eliminated: by dedicating engineering resources to it ...
[TigerBeetle] put in the time to find and eliminate the bugs, they make an effort to maintain a healthy relationship with ZSF, and Bun did not do that.
The argument for shipping all the million lines of unreviewed code is that the test suite is good enough to catch everything. Then why are you saying you have so many annoying bugs in the Zig code? What happened to the test suite being sufficient to catch everything ...
Performance increase is attributed to LTO, which Zig has supported for all of Bun's existence. It used to be enabled by default until we ran into too many LLVM bugs, all of which also affect Rust ...
The post claims they were fuzzing their Zig code, while during our calls the whole Bun team told us that they were not fuzzing anything. This appears to be an outright fabrication.
The blog post outlines a bunch of engineering work done to reduce binary size, to better make the case that "Bun is better in Rust" ... you were doing the engineering work that you should have done in the Zig codebase since the beginning ...
I noticed that you neglected to mention compilation speed. Zig compiler project is about 600,000 lines of code - roughly the same size as Bun before the rewrite, and I'm clocking 16s to build from scratch with a clean cache, followed by 90ms for each subsequent edit with incremental compilation enabled. What are the corresponding measurements of Bun post-rewrite? DeepSeek v4 Pro & Mimo v2.5 Pro $3,426 ($2,567 / $600 / $259)
Tencent HY3 $3,892 ($1,180 / $552 / $2,160)
GLM 5.2 $30,016 ($8,260 / $3,036 / $18,720)
Qwen 3.7 Max $37,925 ($14,750 / $5,175 / $18,000)
Claude Opus 4.8 & GPT 5.5 xhigh $82,750 ($29,500 / $17,250 / $36,000)
5.9 billion uncached input tokens, 690 million output tokens, 72 billion cached input token reads. When Workers Cache is enabled, every cacheable request to your Worker hits Cloudflare's cache first. If there's a fresh cached response, Cloudflare returns it directly — your Worker doesn't run, and you don't pay CPU time for it. On a miss, your Worker runs, and if your response is cacheable, Cloudflare stores it for the next request. The next request from anywhere on Earth can be served straight from cache.
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