At Canva, the shift to AI-generated code review is changing what senior engineering work looks like day to day. Instead of spending most hours on direct implementation, senior developers are increasingly focused on checking AI output, guiding agent workflows and approving what reaches production.
This change aligns with broader engineering patterns. AI tools are now used daily by many developers, and machine-assisted code makes up a growing share of commits. Yet confidence in fully autonomous output remains limited, so verification, testing and architectural judgment still sit with human engineers.
For technical teams, the constraint is no longer only writing speed. The harder problem is scaling high-quality review without slowing releases. That is why senior engineers are becoming the control layer for quality, reliability and risk acceptance.
Organizations are also balancing productivity gains with governance gaps, including unsanctioned tool usage and uneven job redesign for AI-first workflows. As adoption grows, competitive advantage will depend on strong review systems, clear ownership and consistent validation standards built around AI-generated code review.
