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...
Enterprise software delivery is at a turning point. Organizations are under pressure to move faster and meet rising security expectations, all while managing increasingly complex toolchains. In this context, platform strategy matters more than ever. For the third...
Modern software teams are expected to ship faster, build more securely, and maintain reliability at scale, often while juggling a sprawling toolchain. The reality is sobering. 69% of developers spend at least a quarter of their time maintaining and integrating tools,...
GitLab continues to push its platforms toward an AI-powered, secure, and collaborative DevSecOps experience. The release of 18.5 builds upon major innovations from 18.2 through 18.4. It is extending agentic workflows, expanding security automation, improving user...
Modern software teams are battling rising complexity. Toolchains keep expanding, DevSecOps processes are fragmented, and developers are spending more time managing systems than innovating. In fact, most organizations now juggle 2–10 different DevOps tools. Add in...
Software delivery success relies on two main aspects: speed and security. However, a survey of senior IT and security leaders across North America reveals a sobering truth: 62% of organizations knowingly release insecure code just to meet delivery deadlines. Despite...
Engineering leaders are under constant pressure to deliver faster, safer, and smarter software. AI has quickly emerged as the differentiator from a regular release to an efficient one. However, moving from AI curiosity to measurable ROI can be challenging. That’s...
Every software development team must find the right balance between quick delivery cycles and proper security, compliance, and quality. Fragmented toolchains, manual testing, and inconsistent coding standards all slow innovation and increase risk. To solve this,...
Modern software development teams must balance speed, security, and quality. Fortunately, tools like GitLab Ultimate empower enterprises to do exactly that. As the most comprehensive tier of GitLab’s DevSecOps platform, Ultimate combines AI-native capabilities,...
Most developers are familiar with Git: the version control system that tracks changes to code. GitLab goes far beyond Git. It’s an end-to-end DevOps platform that manages your entire software lifecycle. From code hosting, version control, and CI/CD automation to...
Artificial intelligence is reshaping software development, and GitLab Duo is at the forefront of this transformation. From cloud-first deployments to highly secure air-gapped environments, GitLab Duo meets the diverse needs of modern enterprises. Whether your team...
As development teams grow, so do the challenges of collaboration, quality control, and delivery speed. What worked for a small team quickly becomes inefficient at scale. That is why many teams are upgrading to GitLab Premium, a complete DevSecOps platform that comes...