Quality engineering must evolve faster than code; otherwise, agentic AI will move quickly, learn rapidly and fail expensively.

In 2026, agentic AI won’t just help engineers code — it’ll run first drafts of the SDLC, leaving humans to steer, review and think bigger.

(RTTNews) - Cognizant Technology Solutions Corp. (CTSH) on Friday announced an initiative to advance agentic AI by deploying around 1,000 context engineers in the upcoming year. According to the ...

Onboarding new AI hires calls for context engineering - here's your 3-step action plan ...

Enterprise AI has crossed a critical threshold. AI systems are no longer limited to recommending actions or generating insights. Increasingly, they are taking actions—approving refunds, initiating ...

Vasu Jakkal says, All agents ought to be afforded similar security protections as humans to make sure that agents do not become so-called double agents who take uncontrolled risks. That sentence works ...

Enterprise IT systems have reached a point where human-centered operations can no longer keep pace. Microservices, edge computing, and 5G have multiplied dependencies and failure modes, and as a ...

Google ships WebMCP protocol, letting websites expose structured functions to AI agents and reducing computational overhead ...

What if the key to unlocking the full potential of AI agents wasn’t just in how we program them, but in how we teach them to think within their limits? As artificial intelligence systems become more ...

OMAHA, Neb., Feb. 19, 2026 /PRNewswire/ -- Workshop, the intelligent and delightful internal communications platform, ...