GitLab Announces the General Availability of GitLab Duo With Amazon Q

Accelerating secure software innovation with GitLab’s unified DevSecOps platform and Amazon Q Developer agents

Delivering a unified developer experience with agentic AI workflows

Enabling organizations to accelerate development velocity while maintaining end-to-end security and compliance

GitLab Inc., the most comprehensive AI-powered DevSecOps platform, announced the general availability of GitLab Duo with Amazon Q. The integrated offering is available as a bundle for GitLab Ultimate self-managed customers on Amazon Web Services (AWS).

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GitLab Duo with Amazon Q embeds Amazon Q’s software development agents directly into the GitLab DevSecOps platform. The integration accelerates complex, multi-step tasks across the entire software development lifecycle, reduces context switching between tools, and helps accelerate development cycles.

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By combining Amazon Q Developer with the existing capabilities of GitLab Duo, such as code completion and explanation, chat, vulnerability explanation and remediation, and root cause analysis, GitLab Duo with Amazon Q helps tackle critical development challenges, such as:

• Autonomous feature development: Transforms new feature ideas from issues into merge-ready code in minutes by analyzing requirements, planning the implementation, and generating a merge request while adhering to internal development standards.
• Legacy codebase modernization: Automates the code refactoring process for legacy codebases starting with Java 8 and 11. Modernize applications quickly by creating a comprehensive upgrade plan and generating fully documented merge requests with a clear audit trail.
• Security vulnerability remediation: Helps reduce vulnerability remediation time by explaining vulnerabilities, performing root cause analysis, and offering one-click remediation with recommended code changes.
• Quality assurance improvement: Contributes to consistent quality by automatically generating code reviews that interpret application logic to minimize manual review efforts.
• Code review optimization: Streamlines code review cycles and facilitates higher-quality code merges by providing inline feedback, suggesting improvements, and highlighting security and performance considerations.

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Source – Businesswire

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