The Machine That Builds the Machine: How AI Is Rewiring Software Development with Alex Pape (AssetMark)

What happens when AI makes code faster to write than it is to govern?

In this episode of Futureproof, Xano CEO Prakash Chandran sits down with Alex Pape, EVP and Chief Technology & Product Officer at AssetMark, a wealth management technology platform serving independent financial advisors. Alex has spent his career at the intersection of investing, product, and technology, from building a direct to consumer investing platform at The Motley Fool to leading product for BlackRock's Aladdin Wealth Tech before joining AssetMark to lead its technology and product organization.

Together, they explore why the biggest technology shifts often happen below the surface, and what it takes to modernize a 30 year technology estate without putting the business on pause. Alex breaks down AssetMark's three part AI strategy, including Nitro, the company's internally built AI development harness that encodes its architectural principles directly into the software development process. They dig into how AssetMark says it increased development velocity roughly 6x, why traditional measures like story points break down in an AI powered development environment, and how to decide when to optimize for speed versus experimentation. They close with Alex's framework for hiring adaptable "athletes" in a world where the boundaries between engineering and product are changing fast, and the question he uses to bring every technology decision back to its purpose: are our clients flourishing because of us?

Topics covered include:

• The real transformation happens underneath: Why fragmented data and disconnected systems can matter more than flashy new features, and why AssetMark is rebuilding the foundation that allows advisors to spend more time with clients.
• When less product usage is a good thing: Why Alex does not see logins and engagement as the ultimate measure of success, and how making technology disappear can create a better advisor experience.
• Three jobs for AI: How AssetMark separates its AI strategy into AI for advisors, AI for software development, and AI for employees, with each tied back to a specific business outcome.
• The machine that builds the machine: Why AssetMark built Nitro instead of relying entirely on third party coding tools, and how encoding architectural principles into AI agents can give developers more freedom without giving up governance.
• How do you measure 6x?: Why story points stopped working as AI changed the amount of software an engineer could produce, and how AssetMark uses lines of code, pull requests, and cycle time as a proxy for development velocity.
• Hire athletes, not job descriptions: Why Alex looks for people who could become exceptional in a completely different role within months, and why adaptability, curiosity, and humility matter more as AI reshapes traditional disciplines.

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