GitLab is cutting approximately 14% of its workforce, affecting around 350 employees, as the software development platform accelerates efforts to adapt its infrastructure for the rapidly growing demands of artificial intelligence.
The move forms part of a broader restructuring programme announced in May, which includes withdrawing operations from 22 countries, reducing management layers and increasing investment in research, development and platform scalability. The company said the changes are intended to better support rising traffic generated by AI-powered workflows and agent-based software development.
Chief Executive Bill Staples said AI agents are placing unprecedented demands on developer infrastructure, operating at a scale far beyond what traditional systems were designed to handle. He noted that the challenge extends across the industry, with rival platforms also facing pressure from surging volumes of AI-generated code and automated development activity.
To address these demands, GitLab has partnered with an undisclosed AI laboratory to rebuild key parts of its platform. The company is developing infrastructure capable of supporting large-scale AI workloads, alongside new APIs designed to help AI agents efficiently store, retrieve and manage code and development context.
GitLab is also investing in orchestration tools that enable collaboration between developers and AI agents, while enhancing governance, compliance and context-management capabilities across its platform. The company believes these upgrades are essential to support what it describes as the next generation of software development.
The layoffs place GitLab among a growing list of technology firms, including Amazon, Meta, Microsoft, Oracle and Cisco, that have reduced headcount while simultaneously increasing spending on AI initiatives. Industry data suggests more than 100,000 technology jobs have been cut this year as companies reshape their operations around artificial intelligence despite continued revenue growth.
































