GitLab’s Radical Act 2. Staff Cuts and AI Restructuring for the Agentic Era

GitLab Announces Major Restructuring: Navigating towards AI Agents and Workforce Reduction

GitLab, the leading open-source DevOps platform, has officially announced a significant internal restructuring, dubbed “Act 2” by leadership. This strategic shift, designed to position the company for the rapidly evolving landscape of AI in software development, is accompanied by the difficult decision to reduce its workforce by 7%. GitLab CEO Sid Sijbrandij emphasized that these changes are crucial for maintaining competitiveness and investing in the future of development, where AI agents will play a pivotal role. The restructuring involves not just layoffs, but a fundamental overhaul of the operating model, eliminating multiple management layers and reallocating resources towards internal AI tools.

The Strategic Rationale for ‘Act 2’: Anticipating the Agentic Era

The GitLab CEO explained that the software development industry is on the brink of a fundamental paradigm shift-moving from AI assistants (like Copilot) to full-fledged AI agents. These agents will be capable of autonomously executing complex tasks, from writing code based on requirements to deploying and monitoring applications. To remain a leader in this new environment, GitLab requires a leaner and more agile structure.

The ‘Act 2’ restructuring aims to transform the company so it can develop and integrate AI capabilities into its platform much faster. This involves moving away from a traditional hierarchical structure in favor of autonomous teams empowered to make decisions quickly.

Farewell to CREDIT: Retiring Legacy Values

One of the most notable symbolic steps within ‘Act 2’ is the retirement of GitLab’s long-standing CREDIT values (Collaboration, Results, Efficiency, Diversity, Inclusion, Belonging, Transparency). In their place, GitLab is introducing new guiding principles that better align with the demands of the agentic era: Speed, Simplicity, and Customer Focus. Management believes that the old system, while useful during the growth phase, became too cumbersome and slowed down decision-making.

Details of Operational Changes: Flattening and Autonomy

The core of the restructuring affects the Research and Development (R&D) department. GitLab plans to eliminate up to three management layers to accelerate the flow of information and decision-making. This process, known as “flattening,” aims to bring developers closer to the final product and the customer. Instead of large, complex hierarchies, R&D will be reorganized into approximately 60 small, autonomous teams (known as “pods”), each responsible for a specific aspect of the platform.

Autonomous Teams (Pods): A New Development Model

Each pod will have clear goals, resources, and the authority to make technical and product decisions. This will enable GitLab to significantly speed up the pace of development and feature deployment, which is critical in the face of intense competition from GitHub (Microsoft), which is also aggressively integrating AI. The autonomy of these teams is expected to allow them to respond faster to market changes and user needs.

The Human Cost: Layoffs and Geographic Reduction

The 7% workforce reduction is the most painful aspect of ‘Act 2’. GitLab, which has long prided itself on its remote-first and transparent culture, is forced to make this difficult decision to free up resources for AI investment. It is estimated that approximately 180 employees across various departments will be impacted. The CEO emphasized that this decision is not a reflection of individual performance but a strategic necessity.

Furthermore, GitLab plans to significantly reduce its geographic footprint-by 30%. This means closing legal entities and stopping hiring in numerous countries. This step will allow the company to simplify administration and focus efforts on key markets.

Internal AI Investments: Building for Developers

The resources saved through headcount reduction and management optimization will be directed towards developing and implementing internal AI tools. GitLab aims to create an ecosystem where AI agents assist developers at every stage of the software lifecycle: from automatically writing tests and refactoring code to detecting vulnerabilities and optimizing deployment.

The company believes that using AI agents will enable its own teams to work more efficiently and deliver value to customers faster. At the same time, these very tools will be integrated into the GitLab platform, becoming available to users.

Risks and Challenges of the Transition Period

Transformation of this scale carries significant risks. Eliminating management layers could lead to temporary chaos in communication and a loss of institutional memory. Shifting to autonomous teams requires a change in mindset and culture, which can be a difficult process. Furthermore, GitLab faces intense competition from GitHub, which benefits from Microsoft’s vast resources.

The success of ‘Act 2’ will depend on how effectively the company can implement the new operating model and how quickly it can demonstrate tangible results in the form of innovative AI features.

Long-Term Perspective: Maintaining Independence

The ‘Act 2’ restructuring is evidence that GitLab takes the challenge of the agentic era seriously. The company is willing to make radical and painful changes to maintain its position as a leading independent DevSecOps platform. Retiring legacy values, flattening the structure, and betting on autonomous teams-all these are steps aimed at increasing speed and agility.

If GitLab can successfully execute this plan, it will be able to offer developers next-generation tools that will fundamentally change the way software is created. The agentic era is already here, and GitLab is doing everything possible to be among those defining its future.