Every engineering leader watching the agentic coding wave is eventually going to face the same question: if AI can generate production-quality code faster than any team, what does governance look like ...

Learn how to prevent 50% of detection failures caused by log delivery chain issues. Master persistent queuing, schema drift mitigation, and automated recovery for zero data loss SOC operations. The ...

EDA produces a lot of data, but how useful is that for AI to consume? The industry looks at new ways to help AI do a better job.

Discord improves collaboration, but a compromised account can expose credentials, customer data and internal plans. Learn the risks and how to reduce exposure.

Asking an engineer to refactor a large, tightly coupled AI pipeline to test an idea is almost guaranteed to fail. Monoliths don’t optimize well either. You’ll spend more time (and money) iterating on ...

The financial cost of running LLMs is astonishing. In response, the industry has rushed toward FinOps for AI, the practice of meticulously tracking and optimizing every dollar spent on computation.

Sauce Labs launches 'programmable infrastructure' for mobile testing with Real Device Access API - SiliconANGLE ...

There has long been a big disconnect between technical documents and getting AI models to understand them.This is a serious ...

UX and DX are about making users and developers more effective by building systems and interfaces that fit the way they work.

Perplexity launches Computer, a $200-per-month AI agent that orchestrates 19 models from OpenAI, Anthropic, and Google — ...

Vercel has launched "react-best-practices," an open-source repository featuring 40+ performance optimization rules for React and Next.js apps. Tailored for AI coding agents yet valuable for developers ...

With AI agents increasingly acting as digital concierges for shoppers, verifying bot identities, securing the APIs they rely on and detecting anomalous behaviour will be key to safeguarding automated ...