We're in a moment of rapid transformation in how software developers approach their work. According to our Dev Barometer Q3 2025 findings, 65% of developers say they're worried about falling behind on AI skills, and they're taking matters into their own hands. They're saving, on average, over seven hours a week thanks to AI tools, and most are reinvesting that time into learning. They're not waiting for permission or a better timing to learn. They're teaching themselves new skills, diving into prompt engineering (44%), AI/ML specialization (45%), and learning how to use AI to boost productivity across the board ...
Kubernetes (K8s) has become the gold standard for orchestrating containerized environments, as it offers agility, scalability and resilience for enterprise Java applications. Yet, the very power of K8s can also be its greatest challenge, leading to a dramatic increase in Java developers' workload. Intricate and time-consuming configuration, the need for ongoing maintenance and the extensive expertise and highly specialized skills necessary for successful handling mean the orchestrator requires its own orchestrator(s). To thrive in this new normal, developers need a solution that doesn't just run on K8s but tame it ...
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 ...
According to Gartner Inc., 40% of enterprise applications will be integrated with task-specific AI agents by the end of 2026, up from less than 5% today. As organizations accelerate digital transformation, agentic AI in enterprise applications will move beyond individual productivity, setting new standards for teamwork and workflow through smarter human-agent interactions ...
Platform engineering is often presented as a technical solution to engineering complexity. The typical framing focuses on unifying tools, offering golden paths, and simplifying deployment. While these are useful improvements, they understate the larger potential of platform work. However, there is another view to be had. That is, platform engineering as ecosystem design ...
A new Enterprise Strategy Group (ESG) report found that 93% of respondents think their mobile app security protections are sufficient. However, these same respondents report that they face an average of 9 mobile app security incidents per year, with a staggering 62% having suffered a mobile app breach in the last year alone. What this implies is that there is a gap between what developers believe is good security and what proper security measures actually are ...
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 ...
Traditional QA, while foundational to software engineering, is reaching its limits ... What worked yesterday is increasingly not going to work today, and tomorrow's risks cannot be addressed using yesterday's checklists. This is where agentic QA steps in, heralding a transformative approach that integrates autonomous, intelligent agents throughout the entire software lifecycle ...
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? ...
The use of artificial intelligence brings high hopes and expectations in the technological world, promising changes to the way businesses operate. A staggering 79% of companies are now or will be using AI within the next year according to an August 2025 survey from OpenText and the Ponemon Institute ... However, there are some unexpected challenges ...
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 ...
Everybody's talking about AI replacing developers ... After years of building AI-powered development tools and watching how professional teams actually use them, I'm convinced the "AI is killing developer jobs" narrative is overstated. The real shift is more nuanced: fewer junior roles over time, but dramatically increased demand for experienced engineers who can work effectively with AI ...