AI Agents
Agentic systems, orchestration, MCP and autonomous tooling.
Why AI Agents Are Driving a New Era of CPU Innovation Beyond GPUs
A deep dive into how the rise of agentic AI is reshaping silicon design, with Arm's AGI CPU and Nvidia's Vera as key indicators of a paradigm shift from GPU-centric to hybrid CPU-GPU architectures.
AI Agents Can't Read Your B2B Pricing Page — Here's Why
A Siteline study testing a Claude agent on 100 top B2B software products found that JavaScript-rendered pricing pages and "contact sales" walls cause agents to fall back to third-party sources that may be stale or incorrect, with 30% of runs facing access errors and 5% abandoning brand sites entirely.
AI Governance Isn’t a Feature—It’s the Foundation for Safe Agentic AI
Agent frameworks coordinate tasks, but they can't enforce compliance. A dedicated orchestration layer—rooted in ontologies and decision provenance—is the only way enterprises can deploy autonomous agents safely at scale.
Kubernetes Was Built for Stateless Requests — AI Cloud Infrastructure Companies in India Are Building What Agents Actually Need
Kubernetes optimized the world for stateless HTTP requests. AI agents are long-running, stateful processes that break every assumption the platform was built on — from scheduling heuristics to security models. Here's what the infrastructure mismatch looks like in production, and why a new abstraction layer is finally arriving.
X Launches Hosted MCP Server to Simplify AI Tool Integration
X has unveiled a hosted Model Context Protocol (MCP) server, removing the need for developers to build and maintain their own integrations so AI assistants like Claude, Cursor, and Grok Build can connect directly to the platform's API using user permissions.
How a Benign GitHub Repo Can Hijack Your Machine Through AI Coding Agents
Mozilla's 0DIN researchers demonstrated a supply-chain attack where a clean-looking GitHub repository tricks AI coding agents like Claude Code into executing a reverse shell — with no malicious code ever committed to the repo, only a DNS TXT record controlling the payload at runtime.
Agentic AI's Memory Bottleneck Just Got Smashed — Here's What MRAgent Does Differently
Researchers at the National University of Singapore built MRAgent, a memory framework that treats agent recall as an active reconstruction process rather than static retrieval — slashing token consumption from 3.26M (LangMem) to 118K per query on long-horizon benchmarks.
Beyond Human Browsers: Why Your B2B Website Is Failing the Agentic AI Test
An exploration of why current B2B websites struggle to support autonomous AI agents, how AI cloud infrastructure companies in India and globally are affected, and how security architectures must evolve.
AI and Cloud Computing Services | Google Cloud: Benchmarking Agents via ZoomInfo's GTM Bench
ZoomInfo has introduced GTM Bench, a new framework designed to objectively score LLM and AI agent performance on practical go-to-market tasks. This article explores how its dual-axis evaluation methodology—measuring task completion and output groundedness—addresses the growing enterprise need for reliable AI performance metrics.
Google Sets Early August Date for Latest Hardware Showcase: What to Expect
With Google setting its Made By Google showcase for August 12, the focus shifts to how Pixel 11 will push the boundaries of AI consumer hardware.
Beyond POST and GET: Understanding the HTTP QUERY Method
A breakdown of the new HTTP QUERY method, explaining why it was needed to replace misused POST requests for complex searches, and how its inherent idempotency unlocks new possibilities for caching and reliability.
Agentic Commerce Is Rewriting Google Ads — Here’s How to Adapt
AI agents are reshaping Google Ads as they shop and checkout for customers. Product feeds become bidding signals, Direct Offers opens a new paid surface inside AI Mode, and agentic checkout breaks attribution in two distinct ways.