He's not alone. AI coding assistants have compressed development timelines from months to days. But while development velocity has exploded, security testing is often stuck in an older paradigm. This ...

Worldwide engineering teams support AI development services, SaaS product development, and enterprise software ...

The DevSecOps system unifies CI/CD and built-in security scans in one platform so that teams can ship faster with fewer vulnerabilities.

Overview: AutoOps extends DevOps by embedding AI across coding, testing, deployment, monitoring, and optimization to create ...

Overview: Modern debugging combines AI, automation, and monitoring to improve software reliability and reduce long-term costs ...

Calsoft introduced an AI-powered approach to Test Impact Analysis that eliminates unnecessary test executions in CI/CD ...

Large language models have been pitched as the next great leap in software development, yet mounting evidence suggests their ...

When LambdaTest was founded, the problem it set out to solve was far more contained but with the rise of AI-generated code ...

A governance layer (VirtueGov) helps businesses enforce standards, uphold compliance requirements and meet internal policies across AI deployments and agents. The platform also includes tools to ...

The TASKING toolchain seamlessly unlocks the full potential of the combined tools, enabling CI/CD-capable certified workflows with AI to optimize development from requirements to compliance while acce ...

In the SDLC, there should be no shortcuts. Developers must view AI as a collaborator to be monitored, rather than an autonomous entity to be unleashed.