Why GitLab?

Higher agent accuracy, lower token cost
Learn how to harden your software factory and let AI agents earn autonomy, without trading away security.
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Plan, build, secure, and orchestrate on one platform you can trust.
With GitLab, engineering teams have everything they need to deliver software and manage AI agents in one place — so they can stay in continuous flow and avoid context switching and manual handoffs.
Move beyond individual AI coding assistants to team-level agentic workflows where multiple agents work in parallel with your engineering teams to tackle complex tasks across the entire software development lifecycle.
Organizations need software and product planning to be integrated with the rest of the development lifecycle versus treated like a siloed activity. GitLab’s Enterprise Agile Delivery is built into the same DevSecOps platform that development, security, and operations teams use to develop and deploy software, creating a more efficient experience and improving time to market.
GitLab’s CI/CD is built directly into the platform, not bolted on as a separate tool. With customizable pipelines, reusable components from the CI/CD catalog, and AI-powered optimization that can automatically fix failing pipelines, teams coordinate complex multi-stage deployments with full visibility and control.
With GitLab, we went from a completely isolated situation to a collaborative environment that enables better communication and coordination among diverse teams.
Jordan DubiéPlatform Lead - Chief Product Owner, Thales
GitLab’s unified data model provides complete context across the entire software development lifecycle — spanning project requirements, code, dependencies, security, compliance, testing, deployment, and operations in a single semantic data layer.
Unlike fragmented toolchains where context is lost across disconnected systems, this comprehensive organizational context dramatically improves AI quality, delivering better accuracy, faster resolution, and fewer model requests while enabling architectural visualization.
GitLab Duo Agent Platform enhances our development workflow with AI that truly understands our codebase and our organization.
Bal KangEngineering Platform Lead, NatWest Group
Modern enterprises need deployment flexibility — especially organizations with complex security, compliance, and regulatory requirements. Choose from on-premises, multi-tenant SaaS, or GitLab Dedicated, our fully managed single-tenant SaaS solution.
GitLab embeds comprehensive security directly into DevSecOps workflows, enabling continuous threat detection and vulnerability management throughout the entire software lifecycle rather than at discrete stage checkpoints. From SAST and DAST to dependency scanning, secret detection, container scanning, and fuzz testing, security operates as an integrated component of intelligent orchestration — not a bolted-on afterthought.
AI can be complex. At GitLab, our approach is straightforward: your code remains your code, unused for training or fine tuning of our own models. Code suggestions do not use customer code, and since GitLab isn’t commercially tied to any LLM provider, we match the right model based on your use case. Easily choose what works for you, or change when a model no longer aligns to your business or technology strategy.
Security-specific tools that aren’t used consistently fail to protect organizations and their customers. GitLab’s comprehensive governance solution enforces requirements across all projects, separating developer and security/compliance teams. Using our policy editor, you can customize approval rules to meet your business’ compliance needs and reduce risk.
NatWest Group is adopting GitLab Dedicated to enable our engineers to use a common cloud engineering platform; delivering new customer outcomes rapidly, frequently and securely with high quality, automated testing, on demand infrastructure and straight-through deployment.
Adam LeggettPlatform Lead - Engineering Platforms, NatWest Group
Co-Create gives organizations a direct path to work with GitLab Product and Engineering to define meaningful problems, validate ideas, and build improvements. This collaborative approach helps us solve real-world challenges faster, and allows customers to get more value from their GitLab investment, with improvements that benefit their teams and the wider community.
With GitLab’s open core, you can build a solution that truly meets your needs, while shaping the future of our roadmap and DevSecOps.
Since GitLab isn’t commercially tied to any specific cloud provider, you can de-risk your multi-cloud strategy and avoid being locked into a single vendor.
GitLab isn’t locked to a single AI model provider, so you can pick the right model for each job and keep self-hosted options when you need them.
We’ve created a maturity framework based on our experience working with industry-leading customers. It offers prescriptive guidance on how to rapidly progress through three maturity stages.
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