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Transparent Venture Capital by Tribe Global Ventures

Founder Focus Ep 20: Matt James - AI Coding Hits Production: Move Now Or Get Left Behind.

Transparent Venture Capital by Tribe Global Ventures

Tribe Global Ventures

Business:investing, Investing, Entrepreneurship, Business

5.01 Ratings

🗓️ 13 May 2026

⏱️ 61 minutes

🧾️ Download transcript

Summary

Matt James was employee number 22 at Virtual Gaming Worlds (VGW), joining as an early engineer when revenue was just beginning to land and rising to CTO. He scaled with the business through to roughly 1000 staff worldwide and over a $1Billion in annual revenue by the time he left, with VGW going on to post A$6.1B in revenue in FY24.  Today he is Co-founder and CTO at SupplyWise, a Perth-based B2B e-commerce platform for SME suppliers and retailers, and one of Australia's more vocal voices on production-grade agentic AI coding. This is a great episode, with key discussion points including:  What an inflection-point AI coding workflow actually looks like in production (not just MVPs). How a non-technical founder should evaluate engineering hires now. Practical strategy for upgrading legacy codebases and databases when an investor or director is pushing for pace. Where the moats are when code itself is becoming a commodity The SaaS investability question: small and medium SaaS may have a golden age, but venture-backable outliers get harder hello@tribeglobal.vc

Transcript

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0:00.0

In this episode, I'm joined by Matt James, where we discuss AI isn't just helping you build NBPs anymore.

0:17.0

It's moving into production at 10x speed.

0:20.0

Matt is the former CTO of Billion Dollar Scale Up VGW from Perth,

0:24.6

who joined a CTO and employee number 22

0:27.6

and helped scale the business to over 1,000 employees

0:30.6

and more than a billion in revenue when he left.

0:33.6

Matt has seen firsthand how engineering is shifting from writing code

0:36.6

to orchestrating autonomous systems.

0:39.3

There still seems to be a last group of developers holding out that AI is merely an augmenting tool,

0:44.3

requiring them to still do the heavy lifting, rather than intelligent systems that should just be managed.

0:50.3

We break down what this means, why moving slowly right now is a real risk and how

0:55.2

this changes what's actually defensible in software. We also try and get practical how to upgrade

1:00.0

legacy systems, what modern technical team should look like and where the biggest opportunities

1:05.1

and threats are emerging. If you're building, backing or scaling anything in tech, this episode

1:09.9

is designed to help shift the thinking of many developers that AI is nice to help that a developer should do the core

1:15.6

coding, to developers purely managing intelligence systems that can build, test and deploy at scale,

1:21.3

because the real shift isn't faster coding, it's a complete redefinition of what it means to actually

1:26.8

be an engineer. So with that,

1:28.6

let's get into it.

1:39.9

Matt, so good to have you on. Thanks for coming on to spend some time.

1:44.0

Pleasure to be here, Don.

1:45.4

We met down in Margaret River where the always amazing Dan Javeski from Weemone brought us together

...

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