The article warns that exposing unnecessary database columns to AI agents creates a major data leak risk, as a single customer table often contains both useful and sensitive fields. It recommends gran…
The article warns that AWS's new managed payment capabilities for AI agents, which allow agents to pay for APIs, data, and other services during workflows, create a significant risk of uncontrolled cl…
The article explains that custom Copilot agents transform GitHub Copilot from a generic autocomplete tool into a domain-expert teammate by packaging specialized instructions, skills, and tools. This a…
The article describes a common security issue with MCP (Model Context Protocol) servers, where configurations often grant tools excessive permissions, lack authentication, and expose prompt-injection …
The article describes how the company AgenticBoxes.email rapidly built and deployed an opt-in beta for an MCP server feature in under 12 hours, triggered by a customer request. Instead of a standard f…
Here is a factual summary of the article: The author accelerated frontend development by using AI tools with structured project instructions (AGENTS.md or CLAUDE.md) and the Figma MCP (Model Context …
The article details the author's practical response to two recently disclosed MCP security vulnerabilities, including a critical nginx-ui flaw (CVE-2026-33032, CVSS 9.8) and a STDIO transport design f…
Here is a factual summary of the article: Amadeus, the major travel technology provider, argues that current agentic AI protocols like UCP (Universal Commerce Protocol) are not yet ready for the trav…
PagerDuty has built a Model Context Protocol (MCP) system to reduce context switching for engineers during production incidents, where developers typically jump between 5 to 10 different tools to unde…
Based on the article, the author built a local-first desktop AI application called "nano-harness" to learn the practical engineering behind AI systems, focusing on components like provider adapters, t…
The article outlines a four-level framework for scaling AI agent usage, starting with a single Hermes Agent instance for prototyping and workflow refinement. It warns against prematurely adopting comp…
Neon released a companion skill for AI agent platforms that teaches agents how to provision and manage fleets of databases at scale. The skill covers dual-org fleet models, per-tenant provisioning, pr…
Agent2Agent (A2A) is an open protocol introduced by Google in 2025 and transferred to the Linux Foundation, designed to enable standardized communication between independent AI agents built with diffe…
Google Gemini Spark, announced at Google I/O 2026, is a 24/7 autonomous personal AI agent that operates proactively even when devices are off, unlike traditional chatbots. It runs on the Gemini 3.5 Fl…
MCP SEP-2468, merged into the Model Context Protocol specification on May 17, 2026, implements RFC 9207's `iss` parameter to defend against OAuth mix-up attacks. The change requires authorization serv…
Many of the 14,820+ publicly available MCP (Model Context Protocol) servers are unreliable, returning garbage data or frequently going offline, and that AI agents cannot distinguish between trustworth…
The Model Context Protocol (MCP) is an open standard that functions as a universal interface, allowing any AI model to connect seamlessly with any external tool, database, or API using a single protoc…
According to the article, AI-native applications, powered by the Model Context Protocol (MCP) introduced by Anthropic in November 2024, are predicted to subsume the traditional web before the end of 2…
HashiCorp recently released an official MCP server that helps AI models write Terraform by searching providers and managing workspaces. In response, the author built "tf-review-mcp," a specialized MCP…
According to a May 22, 2026 update, the MCP ecosystem has expanded significantly, evolving from a protocol into a standard method for granting AI models access to tools like databases and APIs. Howeve…