But organizing around small product teams creates a different communication problem. Engineers working on similar technologies may now sit in different teams, so knowledge that once flowed naturally within a large engineering group must travel across product groups. Teams can also duplicate solutions to common problems or make decisions that work for their product but impose costs elsewhere in the company. GitLab is betting that this tradeoff has changed: it plans to use AI agents to automate some reviews, approvals, and handoffs, while its current development model emphasizes small, cross-functional teams with end-to-end accountability. Organization form depends on which communication problem is more costly. Divisions facilitate coordination among specialists but weaken incentives for the final outcome; product teams strengthen ownership of outcomes but make sharing knowledge and coordinating across products more difficult. GitLab’s restructuring suggests that it now believes the first problem has become more important than the second.
Friday, September 4, 2026
GitLab Restructuring
In May 2026, GitLab announced a major
reorganization that will create roughly 60 smaller R&D teams with
greater autonomy and end-to-end ownership, while eliminating as many as three
layers of management. This episode illustrates a basic tradeoff in
organizational design. Larger functional or divisional groups make
communication within a specialty relatively easy, but they can create
weak incentives and costly communication across organizational
boundaries. A programmer might finish her assigned code, for example, while
responsibility for whether the overall product actually works belongs somewhere
else. GitLab explicitly identifies layers of management and “handoffs that
dilute accountability” as problems it wants to eliminate. Putting the people
needed to deliver a product into a smaller team gives them greater authority, and
responsibility, over the decisions affecting that product.
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