Software development teams are under constant pressure to deliver new features faster. Balancing this with maintaining strong security and compliance standards isn’t always easy. Artificial intelligence is rapidly changing that. AI-powered tools are helping...
CI/CD is an important aspect of software engineering that directly impacts engineering velocity, release confidence, and total cost of ownership. So, with the upcoming 2026 pricing changes to GitHub Actions, many teams are asking a fair question: Are we paying the...
For many enterprises that build software, long release cycles, fragmented toolchains, and manual handoffs still slow innovation. It is not uncommon to find organizations stuck in 12- to 18-month delivery timelines, struggling to balance speed, security, and...
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,...