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LangSmith is recommended for AI developers, machine learning engineers, and businesses aiming to build, test, and optimize applications based on language models. It is particularly useful for teams that require robust evaluation tools and a streamlined process for managing and deploying language-driven applications.
Based on our record, Error Prone seems to be more popular. It has been mentiond 4 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
A special kind of validation is enforcing that record fields are not null. (Un)fortunately, records do not have any special behavior regarding nullability. You can use tools like NullAway or Error Prone to prevent null in your code in general, or you can add checks to your records:. - Source: dev.to / almost 3 years ago
I am all in favour to more third side libraries adding functionalities, like Lombok, Manifold and error prone. As well as smaller projects like this shameless plug and what appears in this list. Source: almost 3 years ago
While at it you could also point them to static code analyzers such as error_prone, spotbugs and pmd (use all 3 at once - they complement each other in detecting different issues). Source: almost 4 years ago
Linters can check for this sort of thing, for example Error Prone[0] has a lint[1] for this. Totally agree this is better to be in the language proper so we don't need this extra tooling. [0]: https://errorprone.info [1]: https://errorprone.info/bugpattern/ParameterName. - Source: Hacker News / about 4 years ago
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