Chris Ghanbarzadeh, Senior Director of Engineering at Game Changer, joins the show to unpack the shifting landscape of mobile development. From balancing quality with speed to navigating the rise of AI-assisted engineering, Chris shares how teams can adapt to new tools, methodologies, and user expectations. If you’re building mobile products—or leading teams that do—this conversation will sharpen how you think about stability, velocity, and the future of software development.

Key Takeaways

• Why stability is the true driver of long-term speed in mobile development

• How shifts away from native development are reshaping efficiency and delivery

• The role of AI toolchains in accelerating experimentation and engineering workflows

• Why leaders should avoid top-down mandates when introducing AI and instead create space for experimentation

• How AI may reshape software methodologies, from Scrum to requirements gathering and beyond

Timestamped Highlights

01:45 – The eternal challenge of balancing quality with velocity in mobile engineering

06:42 – Why “stability is speed” and how tech debt slows teams down

09:15 – The move away from native development and how it impacts engineering teams

13:27 – Experimenting with AI toolchains and finding the right balance of autonomy and structure

18:05 – Standardization vs freedom: the future of AI tools in the enterprise

22:23 – Will AI change the very way we build and support software?

A standout moment

“Stability is speed. If you’re constantly chasing velocity without shoring up quality, you end up slower in the long run.”

Resources Mentioned

• Game Changer app – scorekeeping and live streaming for youth sports

Pro Tips

Give your teams space to experiment with AI tools. Celebrate learning—even when experiments fail—so engineers build confidence and marketable skills for the future.

Call to Action

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