Security debt has been growing faster than most teams can measure or manage, and the pile now spans old code, eager new features, and cloud sprawl that multiplies both exposure and urgency across every release. The claim that AI can finally compress time-to-fix is enticing, but the question is
Imagine a world where a single line of thought transforms into a fully functional application without the grind of manual coding, testing, and deployment—a world where developers focus on creativity while intelligent systems handle the heavy lifting. This isn't a distant dream but the reality
The scramble to make AI both reliable and safe has pulled quality engineering from the back office into the boardroom, and the latest move—Xoriant’s acquisition of Latvia-based TestDevLab—signals how assurance now anchors real product velocity, customer trust, and regulatory readiness all at once.
As we dive into the evolving landscape of artificial intelligence, I’m thrilled to sit down with Anand Naidu, a seasoned development expert with a mastery of both frontend and backend technologies. Anand brings a wealth of knowledge on coding languages and a keen understanding of how AI innovations
What if the tangled web of decades-old code holding enterprises back could be unraveled by a tool that understands unique organizational quirks? At AWS re:Invent, Amazon Web Services unveiled transformative updates to AWS Transform, a service now turbocharged with agentic AI to redefine how custom
Imagine a world where AI agents, tasked with critical business decisions, consistently miss the mark due to generic evaluation systems that fail to grasp the nuances of specific industries or compliance needs. This has been a pressing challenge for enterprises deploying AI into high-stakes
