--- title: How Dosu Used LangSmith to Achieve a 30% Accuracy... description: Dosu achieved a 30% accuracy improvement with no prompt engineering by using LangSmith for continual in-context learning. Prompt engineering and fine-tuned... canonical: https://daily.dev/posts/how-dosu-used-langsmith-to-achieve-a-30-accuracy-improvement-with-no-prompt-engineering-tuchsjr7v twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: How Dosu Used LangSmith to Achieve a 30% Accuracy Improvement with No Prompt Engineering | daily.dev og:description: Dosu achieved a 30% accuracy improvement with no prompt engineering by using LangSmith for continual in-context learning. Prompt engineering and fine-tuned... og:url: https://daily.dev/posts/how-dosu-used-langsmith-to-achieve-a-30-accuracy-improvement-with-no-prompt-engineering-tuchsjr7v og:image: https://api.daily.dev/og/posts/tucHsJr7v.png og:image:alt: How Dosu Used LangSmith to Achieve a 30% Accuracy Improvement with No Prompt Engineering og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # How Dosu Used LangSmith to Achieve a 30% Accuracy Improvement with No Prompt Engineering **[LangChain](https://daily.dev/sources/langchain)** · 7 min read · 3 upvotes · 0 comments ## Summary Dosu achieved a 30% accuracy improvement with no prompt engineering by using LangSmith for continual in-context learning. Prompt engineering and fine-tuned models have drawbacks that Dosu avoids. In-context learning with optimal examples collected from users is simple and effective for Dosu's adaptive learning. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [Don’t just attend KubeCon \+ CloudNativeCon, Merge Forward your experience\!](https://daily.dev/posts/don-t-just-attend-kubecon-cloudnativecon-merge-forward-your-experience--l0rpp73x8) · CNCF · 1 upvotes · 0 comments - [Announcing H2 2026 KCDs](https://daily.dev/posts/announcing-h2-2026-kcds-m96goajm1) · CNCF · 1 upvotes · 0 comments - [Two months of Open Community Groups](https://daily.dev/posts/two-months-of-open-community-groups-asf52zhbs) · CNCF · 0 upvotes · 0 comments - [CNCF Unveils Schedule for KubeCon \+ CloudNativeCon Europe 2026](https://daily.dev/posts/cncf-unveils-schedule-for-kubecon-cloudnativecon-europe-2026-ikhcoa5cb) · CNCF · 2 upvotes · 0 comments - [CNCF Debuts KubeCon \+ CloudNativeCon Japan 2026 Schedule](https://daily.dev/posts/cncf-debuts-kubecon-cloudnativecon-japan-2026-schedule-xp5pyudub) · CNCF · 1 upvotes · 0 comments --- Tags: [#deep-learning](https://daily.dev/tags/deep-learning), [#langsmith](https://daily.dev/tags/langsmith), [#llm](https://daily.dev/tags/llm), [#prompt-engineering](https://daily.dev/tags/prompt-engineering) [View this post on daily.dev](https://daily.dev/posts/how-dosu-used-langsmith-to-achieve-a-30-accuracy-improvement-with-no-prompt-engineering-tuchsjr7v) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"How Dosu Used LangSmith to Achieve a 30% Accuracy Improvement with No Prompt Engineering","url":"https://daily.dev/posts/how-dosu-used-langsmith-to-achieve-a-30-accuracy-improvement-with-no-prompt-engineering-tuchsjr7v","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/how-dosu-used-langsmith-to-achieve-a-30-accuracy-improvement-with-no-prompt-engineering-tuchsjr7v"},"datePublished":"2024-05-02T15:20:30.450Z","dateModified":"2026-06-04T02:17:20.493Z","description":"Dosu achieved a 30% accuracy improvement with no prompt engineering by using LangSmith for continual in-context learning. 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