GitLab Duo Workflow
GitLab’s first daring move towards AI-driven DevSecOps, Workflow, is an autonomous AI agent that will revolutionize the way teams develop and deploy software.
What if software could write itself? The future may seem far off, but it is rapidly becoming clear with GitLab’s unified AI-powered DevSecOps platform and continuous improvements in massive language models. Unveiled GitLab Duo Workflow, an autonomous AI agent that will revolutionize the way teams develop, secure, deploy, and monitor software, at GitLab 17 launch event.
GitLab Duo Workflow creates an autonomous team member who actively contributes to optimising every element of your software development lifecycle, going beyond the present environment of reactive, prompt-based AI assistants. GitLab’s unified data store, which effortlessly links all pertinent data, projects, repositories, and documentation, is how Workflow sets itself apart. As a result, Workflow can be an intelligent, always-on agent that keeps an eye on your projects, predicts possible production problems, finds and fixes vulnerabilities automatically, optimises your apps for optimal performance, and expedites onboarding by quickly creating specialised remote development environments.
Organizations can now ship more software than ever before with artificial intelligence (AI), which is revolutionizing the development, upkeep, updating, deployment, and monitoring of safe software. GitLab took a daring first step towards AI-driven DevSecOps with GitLab Duo Workflow. Its goal is to free developers from concentrating on complex problem-solving, creativity, and value generation while GitLab Duo takes care of tedious work and optimization in the background.
The GitLab Duo Workflow vision
It concentrates on addressing a number of important use cases with GitLab Duo Workflow in order to automate and streamline the software development process from start to finish.
Automated development
GitLab Duo Workflow, which is available directly from the IDE, assists with job planning and prioritisation based on specific projects and established organisational procedures. Workflow generates an implementation plan that developers can examine and improve based on the specifications from a specific work item (whether it be an epic, problem, or task). Workflow then follows the plan, creating or revising code to complete the tasks and satisfy the specified constraints.
Workflow achieves this by evaluating, writing, and testing code changes in a safe and secure environment within a GitLab Remote Development workspace. Additionally, this guarantees that Workflow generates code that satisfies the specifications and passes all security scans and other CI pipeline tests. Workflow automatically resolves problems and troubleshoots as necessary in the event that the pipeline fails, guaranteeing that only excellent code that satisfies the standards of your company is produced and submitted to your projects.
When it’s done, Workflow will automatically generate a merge request detailing the code changes and proceed through your approval procedures, which may include interacting with the maintainer or code reviewer. As a human code reviewer would do today, you can even ask Workflow to examine your code and provide feedback on your merge requests. Better yet, if you choose, Workflow will put those recommendations into practice for you. And this is just the beginning.
Conscious ongoing enhancement
In real time, GitLab Duo Workflow will examine your codebase and recommend architectural changes to improve productivity, performance, and save costs. Additionally, by recommending modifications to developers or automatically putting them into practice in a sandbox setting, it will proactively find chances for code reworking to enhance scalability and address technical debt. Workflow will also dynamically manage cloud resources to avoid overprovisioning and guarantee that your apps consistently achieve their performance goals.
Proactive compliance and security
Any organization’s main goals should be security and compliance. Developers will be prompted automatically using GitLab Duo Workflow to apply patches, rework unsafe code, and instantly adjust to new risks. Additionally, Workflow will help you establish mitigation controls and regularly evaluate security threats related to your production environments and apps.
Performance that optimizes itself
Advanced feedback loops will be incorporated into GitLab Duo Workflow to promote ongoing learning and development. It will continuously improve its perception of your codebase by examining data from monitoring tools, user interactions, and business outcomes to make sure that your application designs are always in line with your business requirements. As with all AI, Workflow will continuously get better, identifying and correcting its own errors as it gains the ability to collaborate with your company.
AI’s future
The shift from AI that needs continual human prodding to AI that drives development workflows and processes while seeking human assistance when necessary is represented by GitLab Duo Workflow, which is an exciting advancement. Organizations will be able to develop a new generation of AI-powered applications with unmatched speed, efficiency, and innovation while upholding the highest security and compliance standards with GitLab’s single, AI-driven interface that spans the DevSecOps lifecycle.
