--- title: Automate Writing Your LLM Prompts | daily.dev description: Manual prompt engineering for LLM-based applications is slow, inconsistent, and hard to evaluate at scale. DSPy, a Python framework from Stanford, automates... canonical: https://daily.dev/posts/automate-writing-your-llm-prompts-yv2mxht51 twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Automate Writing Your LLM Prompts | daily.dev og:description: Manual prompt engineering for LLM-based applications is slow, inconsistent, and hard to evaluate at scale. DSPy, a Python framework from Stanford, automates... og:url: https://daily.dev/posts/automate-writing-your-llm-prompts-yv2mxht51 og:image: https://api.daily.dev/og/posts/yV2MXHT51.png og:image:alt: Automate Writing Your LLM Prompts 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. # Automate Writing Your LLM Prompts **[Towards Data Science](https://daily.dev/sources/tds)** · 20 min read · 0 upvotes · 0 comments ## Summary Manual prompt engineering for LLM-based applications is slow, inconsistent, and hard to evaluate at scale. DSPy, a Python framework from Stanford, automates the process by generating candidate prompts via meta-prompting, evaluating them against a test set using a user-defined scoring function, and iteratively optimizing toward the best-performing prompt. The workflow mirrors ML model evaluation: collect test data, define a scoring function, and let DSPy loop through candidates with early stopping for weak prompts. It supports LLM-as-a-judge for long-form outputs and works with dozens of LLM providers. A working code example using GPT-4o-mini is included. The author argues DSPy consistently matches or outperforms manual prompt engineering while dramatically reducing developer effort. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: --- Tags: [#python](https://daily.dev/tags/python), [#llm](https://daily.dev/tags/llm), [#prompt-engineering](https://daily.dev/tags/prompt-engineering) [View this post on daily.dev](https://daily.dev/posts/automate-writing-your-llm-prompts-yv2mxht51) ```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":"Automate Writing Your LLM Prompts","url":"https://daily.dev/posts/automate-writing-your-llm-prompts-yv2mxht51","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/automate-writing-your-llm-prompts-yv2mxht51"},"datePublished":"2026-06-05T13:57:02.106Z","dateModified":"2026-06-05T13:57:26.083Z","description":"Manual prompt engineering for LLM-based applications is slow, inconsistent, and hard to evaluate at scale. DSPy, a Python framework from Stanford, automates...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/a953efed01ea2dfcf6d426626ca3e462?_a=AQAEuop","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/a953efed01ea2dfcf6d426626ca3e462?_a=AQAEuop","isAccessibleForFree":true,"articleSection":"Towards Data Science","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"Towards Data Science","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/tds","url":"https://daily.dev/sources/tds"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/automate-writing-your-llm-prompts-yv2mxht51","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":0},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"python,llm,prompt-engineering","timeRequired":"PT20M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"Towards Data Science","item":"https://daily.dev/sources/tds"},{"@type":"ListItem","position":3,"name":"Automate Writing Your LLM Prompts"}]} ```