Summary
The panel argued that AI compresses vulnerability discovery from years to weeks, forcing faster upgrades and renewed scrutiny of C/C++ infrastructure while making Rust and Go more attractive. Spencer Kimball and Yvonne Burzin also described smaller engineering teams moving faster with AI, while warning that self-directed learners will benefit most from AI-powered education.
Key Topics
5 key topics from Ivan Burazin, Spencer Kimball and Jim Harris at HumanX Amsterdam 2026. Thicker branches were mentioned more often in the talk.
The Future of Software Architecture in the AI-Native Era
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Key Takeaways
- Audit legacy C/C++ dependencies with AI-assisted vulnerability analysis.
- Prefer Rust or Go when memory safety reduces exploit classes.
- Use AI to onboard engineers through codebase-specific learning paths.
- Constrain hiring until AI-boosted teams hit clear capacity limits.
- Design systems for faster upgrades as customers respond to emerging exploits.
“we've actually been moving faster than we've ever moved before, with fewer people.”
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