How AI Is Reshaping the Software Development Life Cycle

How AI Is Reshaping the Software Development Life Cycle

AI was a massive driver of change in 2024. This year, organizations that are already incorporating AI into their processes will start to see the return on their investments, enabling them to refine and refocus their use of AI in software development. GitLab’s research found that 78% of organizations are either actively using AI in their development processes or plan to implement it within the next two years. These use cases are likely disparate,…

Patrick Debois on AI & DevOps: What’s Next?

While AI-generated code and copilots have become commonplace, their role in DevOps and infrastructure remains less defined. The tooling is improving rapidly, but the risks—from non-determinism to lack of visibility—make AI adoption in production a complex, evolving journey. In this episode of Semaphore Uncut, Patrick Debois—Generative AI and DevOps specialist —joins Darko to share his perspective on how AI intersects with DevOps, DevSecOps, and …

Revolutionizing Software Development with Big Data and AI

Today’s software companies are drowning in data while simultaneously starving for insights. From user behavior and application performance to market trends and competitive intelligence, this wealth of information holds the key to smarter decision-making. The challenge lies not in collecting more data, but in effectively analyzing and leveraging what we already have to drive strategic decisions across the entire software development lifecycle. Th…

The AI Agent Revolution: Are We All Full-Stack Developers Now?

It was impossible to miss the dominant theme at Google Cloud Next ‘25: AI Agents. Seeing the sheer focus on agents, coupled with practical integrations like GitLab's recent release of GitLab Duo leveraging Amazon Q, has solidified a thought I've had: the traditional lines between developer specializations are blurring very quickly: Are AI Agents effectively turning all developers into full-stack developers? I’m convinced the industry is trendin…

How AI-driven development tools impact software observability - SiliconANGLE

“I made this whole program in 5 minutes with just a few (Insert GenAI tool) prompts. Any developer not using AI tools to replace developers will find themselves out of a job in two years”  – random AI fanboy on X Let’s face it, the next few years are going to be really tough for software-driven […] The post How AI-driven development tools impact software observability appeared first on SiliconANGLE.

GitLab unveils AI-driven DevSecOps integration with Amazon Q

GitLab has launched GitLab Duo with Amazon Q for Ultimate self-managed users on AWS, integrating AI to accelerate and secure software development workflows.