Artificial intelligence is rapidly transforming how software teams work. Early AI tools focused on code suggestions and chat-based assistance. Today, the next evolution is underway: intelligent agents that actively participate in development workflows. GitLab’s new Duo Agent Platform represents this shift. Instead of a single AI assistant responding to prompts, teams can now deploy multiple specialized agents that collaborate, automate routine work, and operate with full project context. For organizations focused on speed, quality, security, and compliance, this platform enables a new model of AI-powered development: human engineers focus on strategic innovation while AI agents handle repeatable, time-consuming tasks.
What Is the GitLab Duo Agent Platform?
The GitLab Duo Agent Platform is an extensible, agentic AI framework built directly into the GitLab DevSecOps platform. It allows organizations to create, customize, and orchestrate multiple AI agents that work across the entire software lifecycle.
Rather than interacting with a single general-purpose AI tool, teams can deploy purpose-built agents that specialize in areas such as:
- Code review and quality checks
- Security and compliance validation
- Issue triage and backlog management
- Test generation and coverage analysis
- Deployment readiness and monitoring
- Documentation and release notes
These agents operate inside GitLab and connected systems, enabling continuous, context-aware collaboration. With the platform, dozens of agents can work simultaneously on routine tasks such as status updates, bug fixes, and reviews, while developers focus on high-impact engineering work.
Key Features of the GitLab Duo Agent Platform
Multi-Agent Collaboration at Scale
The GitLab Duo Agent Platform enables multiple agents to work in parallel. Teams can assign different agents to different responsibilities and allow them to collaborate across pipelines, repositories, and projects. This parallel workflow dramatically reduces bottlenecks in large development environments and accelerates delivery without sacrificing quality.
Agents with Full Project Context
Effective AI depends on context. GitLab Duo agents have access to:
- Source code and repositories
- Merge requests and commit history
- Issues, epics, and requirements
- CI/CD pipelines and test results
- Security and compliance data
In addition, through Model Context Protocol (MCP) integration, agents can access external systems and data sources such as documentation repositories, ticketing platforms, monitoring tools, and internal knowledge bases. This expanded context allows agents to provide accurate, relevant, and actionable assistance.
Extensible and Customizable Agentic AI
The platform is designed to adapt to how your organization works. Teams can create custom agents tailored to specific roles and define workflows and agentic flows in natural language. They can also set organization-wide policies and standards, and customize behavior for security, coding, and review practices. These rules can reflect coding standards, security policies, review criteria, and documentation requirements, to name a few. The AI Catalog serves as a central library where teams can share and manage custom agents and flows, encouraging reuse and standardization across the enterprise.
Usage-Based Pricing for Scalable Adoption
GitLab Duo Agent Platform uses a usage-based pricing model, giving organizations control over AI spend. Premium and Ultimate customers currently receive monthly GitLab Credits at no additional charge, allowing teams to experiment with agentic workflows. Larger credit commitments provide discounted rates, with on-demand credits available for peak usage. This approach enables organizations to scale AI adoption responsibly.
Use Cases Across the Software Lifecycle
The GitLab Duo Agent Platform supports a wide range of practical applications, including:
- Security agents who understand your threat model and compliance requirements
- Release agents that automate documentation and approvals
- Quality agents that validate test coverage and standards
- Integration agents that coordinate handoffs between teams
- Operations agents that monitor deployments and incidents
By orchestrating multiple agents, organizations can automate complex workflows that previously required manual coordination.
Getting Started with GitLab Duo Agent Platform and SPK
Successfully adopting agentic AI requires more than enabling a feature. It requires thoughtful integration with existing processes, security frameworks, and compliance obligations. As a GitLab partner with deep DevSecOps and regulated-industry expertise, SPK helps organizations maximize the value of the GitLab Duo Agent Platform. Our team can assess AI readiness, help design custom agent architectures and flows, integrate external data sources via MCP, align agents with regulatory requirements, and train teams on best practices. By combining GitLab’s technology with SPK’s implementation and advisory services, organizations can move quickly while maintaining control and compliance.
Building the Next Generation of AI-Powered Development
The GitLab Duo Agent Platform marks a shift from isolated AI tools to collaborative, enterprise-grade agent ecosystems. By enabling multiple context-aware, customizable agents to work alongside developers, GitLab is redefining how software is built, secured, and delivered. Organizations that invest early in agentic workflows will gain lasting advantages in speed, quality, and resilience. With the right strategy, governance, and partners, teams can turn AI from a productivity experiment into a core capability. If you are ready to transform how your team works, reach out to our experts today.
