AI can speed up testing, but if you trust it too much, you might ship bugs faster than ever — with no one clearly accountable.

Real-world deployments show 40% test cycle efficiency improvement, 50% faster regression testing, and 36% infrastructure cost savings.

Robust security is critical in open networks where software controls user funds. Security strategies must evolve as AI’s role ...

Veracode, a security firm, released its annual State of Software Security report that shockingly reveals more software ...

Recruitment technology now plays a decisive role in how organizations identify, evaluate, and select talent. Applicant tracking systems (ATS), recruitment portals, and AI-assisted screening tools are ...

Anthropic has published research on an AI-driven system called Co-RedTeam, built to discover and exploit software security flaws through coordinated large language model agents. The tool represents a ...

This Chevy Silverado’s "Snow Bug" is paralyzing his rig, killing the heat in sub-zero temps over a sensor glitch. Is GM’s tech too smart for its own good? "Last one ever," he warns. The full story: ...

Safe coding is a collection of software design practices and patterns that allow for cost-effectively achieving a high degree ...

Fintech operates under constant regulatory pressure. At the same time, competitive pressure demands speed, innovation, and intelligent automation. Risk and compliance systems sit at the...Read More ...

New delivery model applies AI across engineering, testing, DevOps, and analytics to improve speed, transparency, and ...