Perplexity CEO Aravind Srinivas introduced a groundbreaking “search as codegen” system, enabling AI agents to execute complex tasks through Python-based workflows.

Cybersecurity researchers create a five-step exploit chain using over-permissioned roles, secrets discovery, and NHIs to attack a popular low-code service.

In 2026, the hype for artificial intelligence agents is louder than ever before. These semi-autonomous programs can "think" ...

A tiny Python script triggered a major Linux failure in a way that few users would expect. The incident shows how even small pieces of code can expose deep problems inside complex systems. For ...

Traditional job scheduling relied heavily on time-based execution, with cron jobs and hourly synchronisation being common in ...

AI-powered tools can help teams accelerate processes throughout the software development life cycle. Here’s how to make them ...

A new Chinese-speaking cybercrime group has expanded its reach from East Asia into Europe and Africa, while rapidly ...

Google Opal finally killed the drag-and-drop nightmare that ruined every no-code tool before it.

Google AI Studio lets users test Gemini models, build apps, generate media, and export code. Here’s what it does, costs, and ...

NVIDIA announced that its new Vera CPU, the first processor specifically optimized for autonomous AI agents, has entered full production for an autumn release. Built on a custom 88-core Arm ...

Parth is a technology analyst and writer specializing in the comprehensive review and feature exploration of the Android ...