The Stack Overflow Podcast

How do you turn AI coding chaos into a repeatable playbook?

22 min · 2. heinä 2026
jakson How do you turn AI coding chaos into a repeatable playbook? kansikuva

Kuvaus

Vivek Raghunathan, SVP of engineering at Snowflake, joins Leaders of Code at Snowflake Summit to break down the five-stage framework his org used to go from "let chaos reign" to a repeatable, org-wide system for AI-assisted engineering. Vivek explains how Snowflake systematically rolled out coding agents across its engineering org — starting with unrestricted experimentation, then codifying what worked into a shared vocabulary of 14 "AI design patterns," from plan-in-English to fencing off parallel agents to reducing on-call toil through continuously updated skills. Vivek walks through the "inner loop" and "outer loop" of software development, explains Snowflake's internal Yegge scale for measuring how far engineers have progressed along that continuum, and shares how a three-person team used coding agents to deliver a 40x improvement on Snowflake's query compiler. The discussion also: * Breaks down Snowflake's "focus weeks," where engineers get dedicated time to either catch up on best practices or push the frontier further. * Explores the pioneers/settlers/skeptics framework for meeting engineers where they are in adopting AI tools, and why the shift can trigger something like the stages of grief. * Covers how Snowflake cut release validation time from 15 days to a single day, and why more automated testing hasn't come at the cost of production stability. * Looks ahead to a four-step maturity model for on-call and incident response, where agents may eventually take primary on-call duty. Connect with Vivek Raghunathan on LinkedIn [https://www.linkedin.com/in/raghunathanvivek]. See Privacy Policy at https://art19.com/privacy [https://art19.com/privacy] and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info [https://art19.com/privacy#do-not-sell-my-info].

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jakson How do you turn AI coding chaos into a repeatable playbook? kansikuva

How do you turn AI coding chaos into a repeatable playbook?

Vivek Raghunathan, SVP of engineering at Snowflake, joins Leaders of Code at Snowflake Summit to break down the five-stage framework his org used to go from "let chaos reign" to a repeatable, org-wide system for AI-assisted engineering. Vivek explains how Snowflake systematically rolled out coding agents across its engineering org — starting with unrestricted experimentation, then codifying what worked into a shared vocabulary of 14 "AI design patterns," from plan-in-English to fencing off parallel agents to reducing on-call toil through continuously updated skills. Vivek walks through the "inner loop" and "outer loop" of software development, explains Snowflake's internal Yegge scale for measuring how far engineers have progressed along that continuum, and shares how a three-person team used coding agents to deliver a 40x improvement on Snowflake's query compiler. The discussion also: * Breaks down Snowflake's "focus weeks," where engineers get dedicated time to either catch up on best practices or push the frontier further. * Explores the pioneers/settlers/skeptics framework for meeting engineers where they are in adopting AI tools, and why the shift can trigger something like the stages of grief. * Covers how Snowflake cut release validation time from 15 days to a single day, and why more automated testing hasn't come at the cost of production stability. * Looks ahead to a four-step maturity model for on-call and incident response, where agents may eventually take primary on-call duty. Connect with Vivek Raghunathan on LinkedIn [https://www.linkedin.com/in/raghunathanvivek]. See Privacy Policy at https://art19.com/privacy [https://art19.com/privacy] and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info [https://art19.com/privacy#do-not-sell-my-info].

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Ryan sits down with Frank Portman, CTO at Yobi, to talk about why next-token prediction, though great for language, isn’t the right inductive bias for forecasting human behavior. They discuss how Yobi builds a “foundation model of behavior” using transformers and graph neural networks instead of chat-style LLMs, and what it takes to run millions of personalization decisions per second while keeping consumer data private. Episode notes: Yobi [https://www.yobi.ai/] is a behavioral AI company building foundation models that predict future behavior for ad tech, marketing, and more. Connect with Frank via fportman.com [http://fportman.com] or at yobi.ai [http://yobi.ai]. Congrats to Hooked [https://stackoverflow.com/users/249341/hooked] on winning a Populist badge for their answer to Removing whitespace around a saved image [https://stackoverflow.com/questions/11837979/removing-white-space-around-a-saved-image]. See Privacy Policy at https://art19.com/privacy [https://art19.com/privacy] and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info [https://art19.com/privacy#do-not-sell-my-info].

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Code isn’t the only thing causing your production failures

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Ryan is joined by  Jeffrey Hightower, VP of Places Data at Microsoft, and Amy Rose, CTO of the Overture Maps Foundation, to chat about their partnership in bringing spatial data to the next generation of Microsoft tools; how Overture’s 50 organization members are creating open, standardized, and interoperable  global spatial data sets; and their solutions to the innate challenges of trying to digitally map the world.  Episode notes:  The Overture Maps Foundation [https://overturemaps.org/] is a free, open, and collaborative spatial data platform creating reliable and interoperable map data infrastructure. Microsoft [https://overturemaps.org/about/members/] is a founding member and part of Overture’s Steering committee.  Connect with Amy on LinkedIn [https://www.linkedin.com/in/amynrose/]. Connect with Jeffrey on LinkedIn [https://www.linkedin.com/in/jeffreyhightower/].  Congrats to user Cesar Canassa [https://stackoverflow.com/users/360829/cesar-canassa] for winning a Populist badge for their answer to Slicing a dictionary [https://stackoverflow.com/questions/29216889/slicing-a-dictionary]. See Privacy Policy at https://art19.com/privacy [https://art19.com/privacy] and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info [https://art19.com/privacy#do-not-sell-my-info].

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