More than three-quarters (77%) of engineering leaders identify building AI capabilities into applications to improve features and functionality as a significant or moderate pain point, according to a survey by Gartner. The survey also found that the use of AI tools to augment software engineering workflows was the second largest pain point ...
Feature Articles
As AI reshapes industries, it has also erased the lines between truth and deception in the digital world. The AI Security Report 2025(link is external) from Check Point® Software Technologies Ltd.(link is external) uncovers four core areas where this erosion of trust is most visible ...
While nearly two in three organizations (63%) claim architecture is integrated throughout development (from design to deployment and beyond), more than half (56%) have documentation that doesn't match the architecture in production, according to the 2025 Architecture in Software Development study from vFunction.
Almost half (49%) of CISOs say buyers now factor application security (AppSec) into purchasing decisions, according to A CISO's Guide to Steering AppSec in the Age of DevSecOps, a report from Checkmarx. In fact, in nearly half of software-based product companies, security oversight has moved outside the CISO's office entirely. As application complexity and scale grow — driven by AI, microservices and hybrid application architectures — engineering teams are increasingly accountable for ensuring secure, scalable delivery ...
QA teams are experiencing increasing pressure to accelerate release cycles, driven by AI-powered development, while maintaining high-quality standards, according to the 2025 Testing in DevOps Report from mabl ...
Generative AI (GenAI) is revolutionizing the managerial responsibilities of software engineering leaders, who must adapt to its impact on productivity, recruitment processes, and ethical considerations. The technology is perceived primarily as a cost-reduction tool, but leaders should emphasize its role as a force multiplier that enhances team efficiency rather than replacing staff ...
AI coding assistants are increasingly capable of driving implementation directly within the Integrated Development Environment (IDE), navigating and modifying code, and even fixing errors. While these tools show promise in streamlining development, caution is advised to avoid complacency with AI-generated code ...
As organizations race to deliver apps at an unprecedented pace, the rise of freely available AI tools with sophisticated capabilities has made it easier than ever for threat actors to effortlessly reverse-engineer, analyze, and exploit applications at an alarming scale ...
Only a fraction of critical vulnerabilities are truly worth prioritizing, according to the State of DevSecOps 2025 from Datadog ... The report found that security engineers are wasting a lot of time on vulnerabilities that aren't necessarily all that severe ...
QA teams are experiencing increasing pressure to accelerate release cycles, driven by AI-powered development, while maintaining high-quality standards, according to the 2025 Testing in DevOps Report from mabl ...
As organizations seek scalable, cloud native architectures, Dapr's developer productivity benefits and growing role in AI applications have driven widespread adoption. Nearly half of surveyed teams are now running Dapr applications in production, marking a significant increase from previous years, according to 2025 State of Dapr Report from the Cloud Native Computing Foundation® (CNCF®) ...
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