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Browse articles that include the AI/ML tag
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AI/ML
ML experiment: Generate tests for code changes
Learn how GitLab is experimenting with ML-powered test suggestions in this latest installment of our ongoing 'AI/ML in DevSecOps' series.
AI/ML
ML experiment: Writing SQL is about to get a lot easier
Learn how GitLab is experimenting with ML-powered product features in this third installment of our ongoing AI/ML in DevSecOps series.
AI/ML
Modern software development problems require modern AI-powered DevSecOps
Learn how applying AI can help solve common development challenges.
AI/ML
Modernizing a simple C++ application to Java with GitLab Duo
Learn how to refactor code from memory unsafe languages to memory safe languages with the help of GitLab's AI capabilities, saving time and effort on application modernization.
AI/ML
Navigating the AI frontier: Lessons from the cutting edge
Discover key insights on AI development, from rapid prototyping to production, evaluation frameworks, and emerging industry trends.
AI/ML
New report on AI-assisted tools points to rising stakes for DevSecOps
Read the key findings from the "Omdia Market Radar: AI-Assisted Software Development, 2023-24" report, including the state of AI-based code assistants.
Engineering
Pipelines-as-Code: How to improve speed from idea to production
Pipelines-as-Code streamline automatic building, testing, and deploying of applications using prebuilt pipelines and infrastructure components. Here's how it works.
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