How Braze’s CTO is rethinking engineering for the agentic area

The Stack Overflow Podcast43mMay 13, 2026

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AI-Generated Summary

In this episode of The Stack Overflow Podcast, John Hyman, CTO and co-founder of Braze, shares his journey of leading engineering through two transformative eras: the mobile revolution and the current AI-driven transformation. With over a decade at Braze, Hyman reflects on how his leadership evolved from hands-on technical involvement to guiding a large, divisional organization. He details how Braze rapidly adopted AI across engineering workflows, starting with code completion tools like GitHub Copilot and Cloud Code, and accelerating with the release of advanced models like Opus 4.5. By August 2025, AI had enabled a team to build an MCP server six weeks ahead of schedule, marking a turning point in confidence and adoption. Today, over 60% of code committed at Braze is AI-generated, fueling a self-reinforcing flywheel of velocity and innovation. Hyman emphasizes that AI is not about reducing headcount but amplifying output, enabling teams to tackle more ideas than ever before. He also discusses the emerging challenges of AI inference costs, the need for new standards in agentic workflows, and the cultural shift required to treat AI as a true coworker. Ultimately, he advocates for deep personal engagement with AI tools to stay ahead in the evolving landscape.

Key Takeaways
1

AI is transforming engineering from a productivity booster to a full-scale co-pilot, enabling teams to build faster and tackle more ideas.

2

The shift from code completion to autonomous agents requires new standards, infrastructure, and team structures to manage agentic workflows effectively.

3

AI adoption is driven by demonstrable results, not just tools—when teams see real wins, adoption spreads organically.

4

Inference costs are becoming a major business challenge, requiring new metrics and strategies to optimize AI usage efficiency.

5

AI is not reducing engineering headcount but increasing demand for software, making teams more productive and competitive.

…and 3 more takeaways available in PodZeus

Chapters
0:00
10 min

The Evolution of Engineering Leadership at Braze

John Hyman reflects on his 15-year journey at Braze, from startup to global leader, and how his leadership style evolved from hands-on technical involvement to guiding a complex, divisional organization. He emphasizes the importance of being an 'on-the-ground general' who understands the technical underpinnings of the product.

10:00
10 min

From Code Completion to Autonomous Agents

We started seeing demand for that over the summer. And we actually said, you know what? The MCP server is something that I'd say is like low stakes. It's a green field. Let's just try and build the MCP server entirely with AI.

Highlight
20:00
10 min

Cultural Adoption and the Flywheel Effect

The adoption, I think really came from the models being better to the point where it has let us as leaders raise the expectations of what's possible from the team, from AI.

Highlight
30:00
10 min

Measuring AI Success Across Three Warp Streams

We're realizing just how expensive AI inference is. Ultimately like these models are very good now but they cost a lot of money when especially when people are using them every day as part of their jobs.

Highlight
40:00
10 min

AI and the Future of Product Development

We're moving from, even from the Figma mock-ups that I thought were incredible of like, wow, we have like a Figma mock-up that I can go through and click a dropdown and then click the next page and that shell works.

Highlight
High-Impact Quotes
The world's going to go ahead where all of our teams are going to have agents that are building stuff 24-7, that are responding to bug reports, that are responding to product questions, that are helping build roadmap.
John Hyman40:47
Viral: 95.0
People are going to go to sleep and wake up with features being built by AI.
John Hyman40:58
Viral: 92.0
I've got way more great ideas than I have people to build them. And in a world in which I had 100 great ideas and I used to only be able to build 20 of them, now I've got 100 great ideas, I can say build 40 of them on my team.
John Hyman33:56
Viral: 90.0
Speakers

Host

Ira May

Guest

John Hyman
Topics Discussed
ai adoption in software engineering95%agentic workflows and autonomous agents92%engineering leadership evolution90%ai inference costs and efficiency88%ai and the future of software demand87%product development acceleration with ai85%standardization of ai workflows82%organizational culture and ai80%
People & Brands

Braze

organization

25xPositive

John Hyman

person

12xPositive

GitHub Copilot

product

4xPositive

Cloud Code

product

3xPositive

Ira May

person

3xNeutral

OfferFit

organization

3xPositive

Opus 4.5

other

3xPositive

Stack Overflow

other

3xNeutral

Cursor

product

2xPositive

Vercel

product

2xPositive

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