--- title: Improving Agents is a Data Mining Problem | daily.dev description: Mining agent traces is framed as the highest-leverage activity for improving AI agents over time. The core argument is that traces are the currency of... canonical: https://daily.dev/posts/improving-agents-is-a-data-mining-problem-zq1svdcrm twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Improving Agents is a Data Mining Problem | daily.dev og:description: Mining agent traces is framed as the highest-leverage activity for improving AI agents over time. The core argument is that traces are the currency of... og:url: https://daily.dev/posts/improving-agents-is-a-data-mining-problem-zq1svdcrm og:image: https://api.daily.dev/og/posts/zq1sVdcrM.png og:image:alt: Improving Agents is a Data Mining Problem 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. # Improving Agents is a Data Mining Problem **[LangChain](https://daily.dev/sources/langchain)** · 8 min read · 0 upvotes · 0 comments ## Summary Mining agent traces is framed as the highest-leverage activity for improving AI agents over time. The core argument is that traces are the currency of long-horizon agent improvement — they capture agent experience in a mineable data format. A practical recipe is outlined: deploy an agent to start the data flywheel, mine traces to identify failures, curate evals (which are treated as training data), and run improvement experiments. LangChain fine-tuned a small open-source judge model to process traces at a fraction of frontier LLM costs, and built LangSmith Engine around this approach. The recommended improvement strategy is a funnel of harness engineering → fine-tuning → harness engineering, with harness engineering sufficient for most teams until an intelligence ceiling is hit. Continual Learning is positioned as the long-term framework for integrating agent-produced data back into agent systems via SFT, RL, memory stores, and prompt/tool adjustments. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [Continual learning for AI agents](https://daily.dev/posts/continual-learning-for-ai-agents-lmrbc3qok) · LangChain · 1 upvotes · 0 comments - [Human judgment in the agent improvement loop](https://daily.dev/posts/human-judgment-in-the-agent-improvement-loop-iwssfql5p) · LangChain · 1 upvotes · 0 comments --- Tags: [#deep-learning](https://daily.dev/tags/deep-learning), [#ai-agents](https://daily.dev/tags/ai-agents), [#observability](https://daily.dev/tags/observability), [#langchain](https://daily.dev/tags/langchain) [View this post on daily.dev](https://daily.dev/posts/improving-agents-is-a-data-mining-problem-zq1svdcrm) ```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":"Improving Agents is a Data Mining Problem","url":"https://daily.dev/posts/improving-agents-is-a-data-mining-problem-zq1svdcrm","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/improving-agents-is-a-data-mining-problem-zq1svdcrm"},"datePublished":"2026-07-08T19:23:04.687Z","dateModified":"2026-07-08T19:24:40.225Z","description":"Mining agent traces is framed as the highest-leverage activity for improving AI agents over time. 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