AI Agents
Agentic systems, orchestration, MCP and autonomous tooling.
The "Five-Character Fix": Decoding the Lighthouse Agentic Browsing Audit's llms.txt Requirement
A detailed analysis of how Chrome's new Lighthouse Agentic Browsing audit parses llms.txt, why failing the audit doesn't mean your content is bad, and how a simple formatting tweak enables a clean pass.
Anthropic's Sonnet 5: A More 'Agentic' Mid-Sized Model
Anthropic has released Sonnet 5, their latest mid-sized AI model, emphasizing enhanced agentic capabilities, cost-effectiveness, and refined safety for complex, long-horizon tasks.
Beyond Live Testing: How Qwen-AgentWorld Uses Environment Simulation to Train Resilient Agents
Alibaba's new open-weight Qwen-AgentWorld models simulate the behavior of complex environments like Linux terminals, Android, and MCP, allowing developers to inject edge cases on demand and train agents without sandboxes.
When AI Agents Delete the Wrong Thing: Why Recovery Must Keep Pace with Agentic Speed
AI agents now write code and execute tasks at machine speed—but when they delete production data, most recovery systems are too slow to help. Experts say air-gapped backups and granular restores are essential as agentic AI blurs the line between coding aid and autonomous operator.
The Data Layer Underneath an Agentic System Must Handle Variable Schemas, Vector Embeddings, and Real-Time Retrieval
Digital-native startups are abandoning rigid, schema-first databases in favor of flexible data stacks that can absorb the variable schemas, vector embeddings, and real-time retrieval demands of autonomous AI agents.
How Pentera Labs Turned Claude Desktop into a Double Agent
Pentera Labs' red teamers successfully compromised a developer's AI agent through the Claude Desktop app, demonstrating how attackers can exploit trusted AI assistants to gain full remote code execution on a target machine.
Vercel Ships Open-Source Agent Framework 'eve' and Tackles Shadow AI With Passport
At its Ship event in London, Vercel unveiled eve — an Apache 2.0 open-source agent framework built on TypeScript and Markdown with sandboxed VMs — alongside Passport, an OpenID Connect identity layer designed to bring employee-built AI apps under enterprise control.
Why GM Broke Its Own Code to Make AI Agents Work — And Why You Should Too
General Motors shows how flipping the script—designing software for AI agents first, humans second—sparked a 300% surge in merged pull requests at VB Transform 2026. Time to stop forcing agents into human-shaped boxes.
Securing the Autonomous Core: Why Enterprise RAG and Retrieval Agents Remain Susceptible to Prompt Hijacks
Full analysis of why prompt injection remains a top enterprise AI vulnerability in 2025/2026, focusing on vulnerability patterns in Retrieval-Augmented Generation (RAG) pipelines, model routers, and autonomous agents, alongside industry-standard defensive mitigations.
Why 61% of Multi-Location Brand CMOs are Stuck—and How an Orchestration Layer Unlocks Real AI ROI
61% of CMOS say local marketing is too complex — here's how an AI orchestration layer, using Uberall’s UB-I agent and the four pillars of Location Performance Optimization (LPO), can restore search visibility, deliver real-time ROI tracking, and automate GBP management at scale.
Microsoft Build 2026: AI Agent Scout Takes the Spotlight as SQL Server Fades Into the Background
Microsoft's Build event showcased AI agent Scout as the headline act, while its flagship database SQL Server received barely a mention — a signal of strategic shift that has analysts worried about the product's future under Azure Data president Arun Ulag.
MongoDB's Native Reranking Cuts the Orchestration Tax on AI Retrieval
MongoDB embeds reranking directly into Atlas, eliminating the separate services and retry logic that typically slow down AI retrieval. The move could lower inference costs, but CIOs should weigh vendor lock-in risks before committing.