GitLab has launched a new organizational restructuring, cutting approximately 14% of its workforce, affecting around 350 employees. The company is linking this adjustment to its platform scaling initiative, focusing on reserving resources for the increased traffic and more complex development demands brought by AI workflows.
Simultaneously adjust and scale up
In May, GitLab disclosed its restructuring direction, including exiting 22 countries, reducing management layers, and allocating more resources to infrastructure and research and development. The company stated that these actions are part of a single round of adjustments aimed at enhancing the platform's capacity.
Management stated that AI agents are driving software development toward more frequent and large-scale usage scenarios, placing new demands on existing toolchains. This quarter, the company has begun a major overhaul of its underlying Git capabilities to support higher concurrency and greater functional requirements.
The platform is transitioning to serve AI agents.
GitLab stated that it has partnered with an unnamed AI lab to redesign its infrastructure for AI workloads. The company is also building APIs optimized for AI agents to store and retrieve contextual information, including code content.
Beyond underlying scalability improvements, GitLab is also developing new orchestration tools to coordinate collaboration workflows between AI agents and developers. At the same time, the company is building a context layer and integrating governance tools directly into the platform to meet the management needs arising from AI’s involvement in software development.
Continue restructuring amid revenue growth
Alongside the announcement of layoffs, GitLab reported its latest quarterly results. The company's first-quarter revenue reached $264 million, a 23% year-over-year increase, with a gross margin of 88%.
GitLab estimates that this restructuring will incur costs of $30 million to $35 million. The article notes that a growing trend in the current tech industry is for companies to benefit from rising AI demand while simultaneously reducing staff and cutting costs to free up resources for the next phase.