Software development is on the precipice of a massive transformation. New research from GitLab surveying C-level decision-makers shows that 89% of executives expect that agentic AI will define industry-standard software development processes within three years. However, this evolution also brings substantial challenges ...

Organizations across the globe face unprecedented cybersecurity challenges as their digital footprints expand across cloud, on-premises, and remote environments. Ransomware continues to surge as one of the top global cyber threats, with attacks increasing by 33% globally in 2024 and organizations experiencing an average of 1,200 weekly attacks — the highest in three years ...

AI investment is growing 52% year-over-year, yet progress is bumpy given data challenges and a skills gap that is holding businesses back. While developers are excited about the next model release, the reality is 99% of enterprises face AI project disruptions that are often not related to model choices that organizations often stress over. AI innovation hype is outpacing enterprise readiness, leaving developers with a tough choice: move fast on AI and risk failure, or move cautiously and watch competitors pull ahead. But what if there's a third option — one that requires no compromise? ...

AI-powered software innovation is generating annual savings of $28,249 per developer, according to GitLab's 2025 executive research report, which surveyed thousands of C-level executives from around the world. When implemented across the world's 27 million developers, AI's potential translates to more than $750 billion in global value annually ...

Widespread enterprise adoption has cemented artificial intelligence as an integral part of software design, development, and delivery. Relatively new to the scene, agentic AI is poised to double down on the speed and agility of simpler applications of AI, positioning it as a powerful business enabler. Recent research conducted by OutSystems revealed a clear trend: AI agents are maturing from experimental tools to central players in software development and business operations ...

While modern cybercriminals can deploy AI-powered attacks that breach systems in seconds, most organizations still require 258 days to detect these intrusions. This dramatic mismatch in speed creates more than just tactical challenges. It can threaten organizations' survival ...

In software development as in any aspect of business, time is money. Shortening development time to bring new applications to market is the goal of all commercial developers. Similarly, streamlining the development of custom software to optimize business processes can mean big savings. That's why more organizations are turning to coding shortcuts like artificial intelligence (AI) to slash development time ...