20Product: Inside Legora's Tech Stack: Why Token Maxing is Failing Enterprise Startups with Jacob Lauritzen, CTO @ Legora

The integration of AI into software development is fundamentally shifting engineering workflows, moving the primary bottleneck from manual code creation to systems architecture and product strategy. AI tools like Claude and Cursor have drastically increased developer productivity, enabling teams to ship faster while automating tasks such as code review and incident postmortems. Engineering roles are evolving toward "meta-engineering," where developers focus on designing robust systems and setting guardrails for autonomous agents rather than writing individual lines of code. Despite the rapid pace of AI-driven development, human judgment remains essential for maintaining product taste, consistency, and security. Jacob Lauritzen, CTO of Legora, highlights that while AI makes prototyping and internal tool building nearly instantaneous, the ultimate competitive advantage for enterprise companies lies in deep product value and strategic execution rather than raw output volume.