San Francisco: GitLab has announced a major restructuring exercise involving layoffs, management cuts and operational changes as the company accelerates its push towards artificial intelligence-driven software development.
The move reflects a growing transformation across the global technology industry, where companies are increasingly redesigning engineering teams around AI-assisted and autonomous coding systems rather than traditional software development structures.
According to reports, the restructuring process is expected to be completed by June 1. The company said the changes are aimed at preparing GitLab for what chief executive officer Bill Staples described as the “agentic era” of software engineering.
GitLab, considered one of the strongest competitors to GitHub, stated that the transition would include workforce reductions, organisational restructuring and deeper integration of AI systems across internal operations.
AI becomes central to software development
In a detailed communication to employees, customers and investors, Staples outlined the company’s long-term AI-focused vision.
“Software will be built by machines, directed by people,” he wrote, signalling the company’s belief that AI agents will increasingly take over major parts of the software development lifecycle.
The CEO said advances in artificial intelligence are rapidly lowering the cost of software creation while increasing demand for highly skilled engineers capable of solving complex technical problems.
GitLab believes the future of engineering will involve AI agents capable of independently planning, writing, reviewing and deploying software with minimal human intervention.
As part of the restructuring, the company is embedding AI systems directly into operational workflows. These AI agents are expected to automate approvals, reviews and internal coordination processes to improve development speed and efficiency.
Management layers reduced
GitLab also announced plans to simplify its organisational structure by reducing as many as three layers of management in certain departments.
The company said the objective is to bring decision-making closer to engineering and execution teams while improving accountability and product delivery timelines.
In another major operational change, GitLab’s research and development division is being reorganised into nearly 60 smaller teams with end-to-end ownership of projects.
Industry experts say such restructuring models are increasingly being adopted by technology firms seeking faster innovation cycles in the AI era.
The company is additionally scaling back parts of its international presence by reducing operations in up to 30 per cent of countries where it currently maintains smaller teams.
Five major AI technology priorities
GitLab also revealed five core technology priorities that will guide its future strategy.
These include developing infrastructure capable of supporting large-scale AI agent workloads, improving orchestration systems for automated software lifecycles and investing in context-aware AI models to make development systems more efficient.
The company is also focusing on governance and security tools aimed at helping enterprises maintain control over AI-assisted coding environments.
GitLab plans to support multiple development models in the future, including human-led coding, AI-assisted engineering and fully autonomous software workflows.
Wider shift across the technology sector
The restructuring at GitLab reflects a broader transformation taking place across the global technology industry as companies aggressively invest in generative AI and automation systems.
Several major technology firms have announced workforce restructuring while simultaneously increasing spending on AI infrastructure and machine learning capabilities.
Analysts say many companies are no longer treating AI as a productivity tool alone but are redesigning entire engineering and operational structures around AI-driven systems.
This has resulted in rising demand for specialised talent in machine learning, AI infrastructure, automation engineering and advanced software orchestration.
At the same time, concerns are growing about the long-term impact of AI on traditional software development roles, especially routine coding and support functions.
However, industry experts believe human engineers will continue to play a critical role in supervising AI systems, solving complex problems and managing high-level product architecture.
GitLab said customer contracts, support systems and product roadmaps would remain unaffected during the restructuring process.
The company is expected to provide further details regarding the financial impact of the restructuring during its June 2 earnings announcement.