--- title: How Kraken finds hidden bottlenecks across thousands of... description: Kraken's Engineering Operations Lead Nik Sudan discusses how to move agentic AI projects from pilot to production without compromising code health. Key topics... canonical: https://daily.dev/posts/how-kraken-finds-hidden-bottlenecks-across-thousands-of-engineers-nik-sudan-vscre6liu twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: How Kraken finds hidden bottlenecks across thousands of engineers | Nik Sudan | daily.dev og:description: Kraken's Engineering Operations Lead Nik Sudan discusses how to move agentic AI projects from pilot to production without compromising code health. Key topics... og:url: https://daily.dev/posts/how-kraken-finds-hidden-bottlenecks-across-thousands-of-engineers-nik-sudan-vscre6liu og:image: https://api.daily.dev/og/posts/VsCre6LIU.png og:image:alt: How Kraken finds hidden bottlenecks across thousands of engineers | Nik Sudan 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 Kraken finds hidden bottlenecks across thousands of engineers | Nik Sudan **[Dev Interrupted](https://daily.dev/sources/devinterrupted)** · 5 min read · 0 upvotes · 0 comments ## Summary Kraken's Engineering Operations Lead Nik Sudan discusses how to move agentic AI projects from pilot to production without compromising code health. Key topics include why raw AI adoption metrics are vanity metrics, using tools like the LinearB MCP server to combine engineering metrics with repository data to find workflow bottlenecks, and how to translate P90 cycle times into business narratives for non-technical stakeholders. The newsletter also covers the 'discernment horizon' concept from Steve Yegge, loop-driven development from Anthropic's whitepaper, why model divergence reveals prompt ambiguity rather than tool quality, and Google's Open Knowledge Format for structuring agent context. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [The playbook to close your team’s AI productivity gap \| LinearB’s Yishai Beeri](https://daily.dev/posts/the-playbook-to-close-your-team-s-ai-productivity-gap-linearb-s-yishai-beeri-txgyqgeej) · Dev Interrupted · 0 upvotes · 0 comments --- Tags: [#productivity](https://daily.dev/tags/productivity), [#agentic-ai](https://daily.dev/tags/agentic-ai) [View this post on daily.dev](https://daily.dev/posts/how-kraken-finds-hidden-bottlenecks-across-thousands-of-engineers-nik-sudan-vscre6liu) ```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 Kraken finds hidden bottlenecks across thousands of engineers | Nik Sudan","url":"https://daily.dev/posts/how-kraken-finds-hidden-bottlenecks-across-thousands-of-engineers-nik-sudan-vscre6liu","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/how-kraken-finds-hidden-bottlenecks-across-thousands-of-engineers-nik-sudan-vscre6liu"},"datePublished":"2026-06-30T14:54:20.911Z","dateModified":"2026-06-30T14:55:31.706Z","description":"Kraken's Engineering Operations Lead Nik Sudan discusses how to move agentic AI projects from pilot to production without compromising code health. 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