Dev tools · September 27, 2023
Using LLMs and Embeddings to classify application errors
Hi Hacker News! We’re Vadim and Chris from Highlight.io [1]. We do web app monitoring and are working on using LLMs/embeddings to add new functionality to our error monitoring product. Given that there’s a lot of founders/engineers using LLMs in their products, we figured we’d share how we built the new functionality, their impact on our workflows, and how you can try it out. Our goal was to build two features: (1) tagging errors (e.g. deeming an error as “authentication error” or a “database error”); and (2) grouping similar errors together (e.g. two errors that have a different…
Using LLMs and Embeddings to classify application errors launched on September 27, 2023 with 65 votes, #1,270 of 4,228 launches that month and more than 90% of that year's launches. The site was still online in September 2026, 3 years on.
In plain words
Highlight.io is a web application monitoring platform that uses large language models and embeddings to automatically classify and organize application errors. It tags errors by type—such as authentication or database errors—and groups similar errors together even when their stacktraces differ, helping developers identify and manage issues more efficiently across their applications.
written from the facts on this page · September 2026
From the sources
highlight.io: The open source, full-stack monitoring platform. Error monitoring, session replay, logging, distributed tracing, and more. - highlight/backend/embeddings at main · highlight/highlight
In the maker’s words, at launch
Hi Hacker News! We’re Vadim and Chris from Highlight.io [1]. We do web app monitoring and are working on using LLMs/embeddings to add new functionality to our error monitoring product. Given that there’s a lot of founders/engineers using LLMs in their products, we figured we’d share how we built the new…
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Source: Show HN post ↗ · launch text quoted in part
