Lusha's R&D leadership decided to run an AI-native engineering organisation, and picked the two numbers they would judge it by: velocity, how quickly a team gets work into production, and autonomy, whether a team can finish something end to end on its own.
Engineers were already using AI to write code. The larger opportunity sat in everything around the code - how a requirement becomes a specification, how design reaches the backlog, how a release goes out, how the bug list gets worked. Each of those is a modest gain by itself. Together they are where the ceiling moves.
Since the platform was introduced at the start of 2026, Lusha's core engineering teams have gone from about 325 completed work items a month in Q4 2025 to about 555 in August-September 2026 (+70%).