GitLab has initiated a new round of organizational restructuring, laying off approximately 14% of its workforce, affecting about 350 employees. The company is linking this restructuring to its platform expansion plan, focusing on reserving resources for the higher traffic and more complex development needs brought about by AI workflows.

Adjustment and expansion will proceed simultaneously.

GitLab disclosed its restructuring plans in May, including exiting 22 countries, streamlining management layers, and allocating more resources to infrastructure and R&D. The company stated that these moves are part of a unified restructuring aimed at improving platform capacity.

Management stated that AI agents are pushing software development towards higher-frequency, larger-scale call scenarios, putting new pressure on existing toolchains. The company has begun a large-scale rebuild of its underlying Git capabilities this quarter to support higher concurrency and more feature requirements.

Platform shifts to AI agent service

GitLab stated that it has partnered with an unnamed AI lab to redesign its infrastructure for AI workloads. The company is also building APIs suitable for AI agent calls to store and retrieve contextual information, including code content.

In addition to expanding its underlying capabilities, GitLab is also investing in new orchestration tools to coordinate collaboration processes between AI agents and developers. Simultaneously, the company is building a context layer and integrating governance tools directly into the platform to meet the management needs following AI involvement in software development.

Restructuring continues amid revenue growth

Alongside announcing the layoffs, GitLab released its latest quarterly results. The company's first-quarter revenue was $264 million, a 23% year-over-year increase; gross margin was 88%.

GitLab estimates that this round of restructuring will incur costs of $30 million to $35 million. The article notes that a growing phenomenon in the tech industry is that companies are benefiting from increased demand for AI while simultaneously reducing staff and restructuring costs to make room for the next phase of investment.