Developers using the streams API are expected to remember to use options like highWaterMark when creating their sources, transforms, and writable destinations but often they either forget or simply choose to ignore it.
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Here’s a performance profile from today:
Historically, LLMs have been poor at generating Rust code due to its nicheness relative to Python and JavaScript. Over the years, one of my test cases for evaluating new LLMs was to ask it to write a relatively simple application such as Create a Rust app that can create "word cloud" data visualizations given a long input text. but even without expert Rust knowledge I could tell the outputs were too simple and half-implemented to ever be functional even with additional prompting.