AI Moved the Bottleneck From Writing Code to Understanding and Trusting It

AI coding boosts velocity, but without stronger review, governance, and codebase visibility, teams risk higher costs, security gaps, and production failures. This bottleneck shift highlights the need for more robust processes and tools to ensure AI-generated code is trustworthy and maintainable. To mitigate risks, teams should focus on implementing robust review and governance processes, as well as improving codebase visibility and understanding.