Over the past decade, DevOps won the culture war when it comes to software development and delivery. It further codified and evangelized the guiding principle for most of the software development teams that speed and quality are two sides of the same coin and both need equal attention ... It proved that you can increase velocity without reducing stability or compromising quality, and in a highly competitive market, companies rushed to be more agile. Now, we risk losing it all again as an industry caught up in an AI gold rush ...

Developers are burning out. While their primary role remains coding and innovation, they're now pushed to deliver more, faster, and are expected to take on security responsibilities on top of their development duties — reviewing code for vulnerabilities, fixing security issues, and navigating complex security schemes and protocols they weren't trained for. Add AI-generated code to the mix, and the security burden grows even heavier as traditional controls struggle to keep pace ...

Since Anthropic released the Model Context Protocol (MCP) to give agents a standardized way to interact with third-party tools, we've seen a surge in adoption. But connectivity is only half the equation. Once you've connected your agents to Salesforce, Jira, Slack, and dozens of other systems, a more difficult set of questions emerges: Which agents accessed what data? Whose credentials did they use? Where did that data move? And who or what prompted the agent to make the tool call? ...

Applause has released its fourth annual State of Digital Quality in Functional Testing report, offering a comprehensive look at how organizations test, measure and improve digital experiences. This year's findings reveal a clear shift toward AI-driven testing, broader adoption of human-in-the-loop approaches and an industry-wide move toward continuous quality across every phase of the software development lifecycle ...

A recurring theme emerges in my discussions with technology leaders: despite leading hundreds or thousands of engineers with mature development processes, they're often overwhelmed by organizational complexity. The root cause is the maze of department-specific tools and processes that have evolved independently over time, creating a paradox where adding more engineering talent actually slows delivery rather than accelerating it ...

The world of software development is undergoing a significant transformation, driven by the need for speed, the proliferation of tools, and the disruptive force of artificial intelligence (AI). The latest research from Black Duck, as detailed in the Balancing AI Usage and Risk in 2025: The Global State of DevSecOps report, provides critical insights into the challenges and opportunities facing DevSecOps teams today ...

From our perspective as a leading nearshore development organization, AI has fundamentally transformed how we approach software creation. It automates repetitive tasks and liberates our teams' cognitive capacity for reflection, architectural design, and solving higher-value problems. However, its rapid evolution continuously makes previously essential tools and practices obsolete, demanding constant adaptation ...